doalltech.co.kr

File structure

Notes: This is not structured data; it appears to be a free-form technical document describing hydraulic calculations and stormwater runoff criteria for public housing construction in Jeju. The content consists of Korean engineering terminology and formulas, with no consistent tabular structure or identifiable PII fields. The sample shows technical descriptions rather than columnar data with personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV containing technical engineering specifications (reinforced concrete pipe dimensions). No PII fields are present. All columns contain engineering measurements and identifiers, which are not personal data. The file appears to be a technical specification sheet for construction materials rather than a dataset containing personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing hydrological engineering data for public housing projects in Jeju. Columns contain technical parameters like drainage area, inflow/outflow rates, pipe specifications, and flow calculations. No personal identifiable information (PII) fields are present — all values are engineering measurements, identifiers (e.g., 'A-LINE', 'J1'), and technical metrics. This is not user/customer data but infrastructure design calculations.

File structure

Notes: This is not structured data; it's a construction cost breakdown table with Korean headers and numerical values. No PII fields are present. The format appears to be a table with columns for item name, specification, unit, quantity, material cost, monetary value, labor cost, etc. There are no identifiable personal information fields in the provided rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction cost breakdowns for public housing projects. All columns contain project codes, units, quantities, material ratios, unit prices, monetary values, and notes. There are no personal identifiable information (PII) fields present. Columns are entirely project/cost-related data (e.g., project names, quantity, unit price, total cost). No emails, phone numbers, names, addresses, or other PII appear in any column.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction projects in Jeju (삼도이동 공공주택). All columns contain internal project identifiers, item specifications, unit prices, and cost calculations. No personal identifiable information (PII) is present. Columns 0 contains project codes (numeric/hashed identifiers), columns 1-23 contain item names, specifications, units, and various price calculations. All values are technical/project-related and do not map to any PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data is a cost breakdown table for a public housing construction project in Jeju, South Korea. It contains only financial and project-related data with no identifiable personal information. All columns represent cost categories, percentages, and calculations rather than PII fields. There are no columns mapping to email, phone, dob, names, addresses, SSN, password, username, country, gender, suffix, or Facebook ID.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown table in Korean for public housing projects in Jeju (삼도이동 공공주택). All columns contain project codes, specifications, units, quantities, material costs, labor costs, total costs, and notes — strictly construction/project management data with no personal identifiable information (PII). No emails, phone numbers, names, addresses, or other PII fields are present. All columns are skipped per exclusion rules for business/project data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains construction cost breakdowns for public housing projects in Jeju. All columns appear to be internal project identifiers, item descriptions, quantities, unit types, cost calculations, and notes — none contain personal identifiable information (PII). Columns like '고 드' (IDs), '일 위 대 가 구 록' (item description), '교 겁' (quantity), '단위' (unit), and cost columns contain only project-related data. No emails, phone numbers, names, addresses, DOB, SSN, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a construction cost breakdown file with internal identifiers and project-specific codes, not personal data. Columns contain project codes (0), item descriptions (1-2), units (3), ratios (4-5), weights (6-7), item numbers (8), and other construction metrics (9-11). No PII fields are present.

File structure

Notes: This is not a delimited file with structured columns. The sample appears to be a free-form technical specification document with headers and parameters for construction cost calculations, not personal data records. There are no consistent columns or PII patterns in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured construction cost breakdown file for public housing projects in Jeju. All columns contain project codes, quantities, unit prices, and monetary values. No PII fields (names, addresses, emails, etc.) are present. The data represents engineering and financial details for construction deliverables.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file appears to be a structured CSV containing engineering/construction cost calculations and material transport logistics for public housing projects in Jeju. There are no personal identifiable information (PII) fields such as names, emails, phone numbers, addresses, dates of birth, social security numbers, passwords, usernames, or gender indicators present in the visible data. All columns contain technical specifications, calculations, and cost breakdowns related to construction materials and transportation logistics.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a Korean construction cost breakdown report with no personal identifiable information. All columns contain project names, cost categories, units, quantities, and financial figures. No PII fields such as names, addresses, emails, or phone numbers are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost comparison data for public housing projects in Jeju. The file contains project names, cost categories, and financial figures, but no personal identifiable information (PII). All columns represent internal project data, financial metrics, and construction-related statistics, none of which map to PII fields. No email addresses, phone numbers, names, or other PII are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju (삼도이동 공공주택). All columns contain project metadata, cost categories, and numerical financial data. No personal identifiable information (PII) is present. Columns map to construction cost categories, material costs, labor costs, and project totals — all internal business data, not personal user data. Therefore, no columns map to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction in Jeju (삼도이동 공공주택). All columns contain construction item descriptions, specifications, units, quantities, pricing details, and references — strictly project financial/engineering data with no personal information. No PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju (삼도이동 공공주택). All columns appear to represent engineering/contract data (project names, quantities, unit prices, total amounts) and contain no personal identifiable information (PII). There are no email addresses, phone numbers, names, addresses, dates of birth, SSNs, passwords, usernames, or other PII fields present in the header names or sample values. All columns are skipped per exclusion rules for financial/transactional and internal project data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju (삼도이동 공공주택). The columns represent engineering cost categories (e.g., material costs, labor costs, total costs) and do not contain any personally identifiable information (PII). All columns map to internal project cost metrics, not personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for construction projects. All columns contain project codes, quantities, unit prices, and monetary values. No personal identifiable information (PII) is present. All columns are skipped per exclusion rules (project identifiers, financial/transactional data, and internal codes).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju (삼도이동 공공주택). All columns represent project specifications (item names, quantities, unit prices, total costs) and contain no personal identifiable information. No PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju. All columns appear to be internal project identifiers, quantity metrics, unit prices, and financial totals. No personal identifiable information (PII) fields are present. Columns contain project codes, quantities, unit rates, monetary values, and notes — all business/project data without any names, addresses, emails, etc.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured financial/construction cost breakdown table in Korean. Columns contain project codes (A1, B1, etc.), cost categories in Korean, monetary values, percentages, and formulas — all business/financial data. No personal identifiers (PII) such as names, emails, addresses, or dates of birth are present. All columns map to skip per exclusion rules (financial/transactional data, internal codes). Therefore, columns object is empty.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with Korean headers and numerical values. No personal identifiable information (PII) is present. All columns contain project codes, units, quantities, material ratios, unit prices, total amounts, labor ratios, labor costs, business ratios, and summary totals — all standard construction financial data. No names, addresses, emails, phone numbers, or other PII fields are present.

File structure

Notes: The file is unstructured engineering cost breakdown data with no identifiable personal information. It contains project codes, material specifications, quantities, unit prices, and total costs for construction work items related to public housing in Jeju. No PII fields (email, phone, name, address, etc.) are present in the visible data.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file is a structured cost breakdown report for a public housing construction project. It contains financial categories, cost calculations, and percentages but no personal identifiable information (PII). All columns represent project accounting data such as material costs, labor costs, insurance premiums, and other construction-related financial metrics. There are no columns mapping to PII fields like email, phone, name, address, etc.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured cost breakdown spreadsheet for a construction project. Contains only financial figures, categories, and percentages — no personal identifiable information (PII). All columns represent project cost components, totals, and calculations. No names, addresses, emails, phone numbers, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file contains structured financial and cost breakdown data for construction projects. There are no personal identifiable information (PII) fields present. All columns contain project codes, cost categories, amounts, percentages, and calculations — typical of engineering cost estimation spreadsheets. No names, addresses, emails, phone numbers, dates of birth, or other PII appear in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction cost breakdowns for public housing projects. Columns contain technical codes, quantities, unit prices, and monetary values. No PII fields are present; all columns represent engineering/project data and financial figures. The Korean headers and values indicate this is a construction cost ledger, not personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured engineering cost breakdown table in Korean for public housing construction. All columns contain technical specifications (equipment names, specifications, quantities, unit prices, total costs) and do not contain any personal identifiable information (PII). No email, phone, name, address, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV containing construction cost breakdowns and financial data for public housing projects in Jeju. There are no personal identifiable information (PII) fields present. All columns contain project codes, financial calculations, cost categories, percentages, and monetary values. The data appears to be purely financial and project management related with no personal data such as names, addresses, or contact information.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured financial spreadsheet with cost breakdowns and engineering calculations for public housing construction projects in Jeju. No personal identifiable information (PII) fields are present. All columns contain project cost data, percentages, and internal accounting codes. No names, addresses, emails, phone numbers, or other PII appear in the first 50 rows.

File structure

Notes: This is a Korean-language construction cost breakdown document (not a personal data file). All visible values are engineering/project terms, cost figures, and formatting markers. No personal identifiers appear in the first 50 rows. The structure is tabular but contains no personal PII fields. Given the breach context (construction cost files), this is expected to be purely project financial data.

File structure

Notes: This is a free-form technical specification table for construction machinery equipment (excavators, fuel, materials) in a public housing project in Jeju. No personal information present; entirely project cost breakdowns and engineering specifications. The text is in Korean and structured as a table with headers like '구격' (specification), '단위' (unit), '수량' (quantity), etc. No PII columns exist.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for construction materials and equipment (mechanical facilities for public housing in Jeju). All columns contain project-specific identifiers, item names, specifications, units, prices, and internal tracking codes. No PII fields are present. All values are technical/cost data (e.g., '굴삭기(무한궤도)' = Excavator (track type), '0.7㎥' = volume, '1493.63' = price in KRW). Columns with codes like '580C94E0A54209198A43798591E8F591F01828' are internal project identifiers, NOT user IDs or emails. No emails, phone numbers, names, or addresses appear in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost breakdowns and project deliverable data. No PII fields are present — all columns represent project codes, units, quantities, cost categories, and monetary values. No personal identifiers such as names, addresses, emails, or phone numbers appear in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown sheet for public housing construction materials in Jeju. All columns contain product specifications, quantities, pricing, and internal reference numbers. No personal or identifiable information is present. Columns like '미국차' (item name) and '범 꼬' (unit) contain only product descriptions and units of measure. The '나라장터 물품번호' column contains internal item numbers (24583792, etc.). No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file contains no personal identifiable information. It is a structured financial/construction cost breakdown document with Korean text headers and numeric values. No email addresses, phone numbers, names, addresses, dates of birth, SSNs, passwords, usernames, gender, suffix, or Facebook IDs are present. All columns contain business-related financial data, cost categories, and percentages.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured engineering cost breakdown file with no PII fields. All columns represent construction cost data (equipment names, specifications, quantities, unit prices, totals, etc.). No personal information such as names, emails, addresses, or other PII is present in the first 50 rows or column headers.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and project deliverable data for public housing construction projects. All columns appear to be related to engineering specifications, material quantities, unit types, cost calculations, and project codes. There are no personal identifiable information (PII) fields present in any of the columns. The data contains technical codes, material specifications, cost figures, and project identifiers, but no names, addresses, emails, phone numbers, dates of birth, or other PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction cost breakdown parameters for public housing projects in Jeju, South Korea. All columns appear to be technical parameters, codes, and formatting instructions for engineering calculations. There are no personal identifiers, PII fields, or customer data present in the first 50 rows. The content is purely professional engineering and cost management data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured construction cost breakdown table in Korean, containing only engineering and financial data (item names, units, quantities, unit prices, totals, notes). No personal or identifiable information is present. All columns represent internal project accounting data, material specifications, and cost calculations for public housing construction in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file is not a structured dataset containing PII. It is a material cost breakdown sheet for construction plumbing supplies, with columns showing item codes, descriptions, quantities, unit prices, and totals. No personal identifiable information (PII) is present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file appears to be a Korean-language payroll or wage structure listing with no identifiable PII fields. Columns contain job titles (노임, 명칭), wage brackets (규격, 단위, 단가), and internal reference codes (L001...). No names, addresses, emails, or other PII are present in the sample. All columns map to skip categories (internal codes, job classifications, numeric wage values).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file appears to be a structured cost breakdown spreadsheet for construction materials and services. No personal identifiable information (PII) fields such as email, phone, name, address, date of birth, SSN, etc. are present. Columns contain material descriptions, units, quantities, unit prices, total costs, and internal project codes — all business/operational data. No columns map to any PII field categories.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing material specifications for construction projects. All columns appear to represent technical specifications (material names, dimensions, units, costs, etc.) and internal project codes. No columns contain personally identifiable information (PII). All values are product/material descriptors, measurements, quantities, and internal reference codes. No emails, phone numbers, names, addresses, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown report for public housing construction in Jeju. All columns contain project codes, quantities, unit types, cost components, and numerical values — no personal or identifiable information present. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction project data with Korean headers. Columns contain project categories, durations, percentages, and cost figures. No personal identifiable information (PII) is present. All columns map to internal project metrics or financial data and are marked as skip per rules.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction projects in Jeju. All columns contain project codes, quantities, units, rates, and monetary values. No PII fields (names, emails, addresses, etc.) are present. The data is strictly engineering/financial — project names, specifications, and cost aggregates. All columns map to skip categories (project identifiers, financial figures, timestamps).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects. All columns appear to be internal project identifiers, material specifications, pricing information, and timestamps. There are no personal identifiable information (PII) fields present. Columns contain material codes, descriptions, specifications, unit types, prices, page numbers, and timestamps - all related to construction cost estimation and not personal data.

File structure

Notes: The provided text is not structured data but appears to be a technical specification or variable definition table from engineering calculations. It contains variable names, data types, values, and descriptions related to construction cost factors (e.g., "어스앵커 공수", "장대터널할증"). There are no consistent columns or PII fields present. This is not CSV or any delimited format — it's free-form technical documentation.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju, South Korea. All columns contain internal project identifiers, cost codes, quantities, unit prices, and monetary values. No PII fields (names, emails, addresses, etc.) are present. Columns with numeric codes (E00000029030000000, G9090300200000000) are internal project identifiers, not personal identifiers. The Korean text columns describe construction items and cost categories. This is purely technical/financial data with no personal information exposed.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a cost breakdown file for construction equipment and materials. No PII fields are present — all columns contain equipment descriptions, quantities, units, prices, and internal codes. The data appears to be purely commercial/technical and does not contain any personal identifiable information such as names, addresses, emails, etc.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file contains only technical parameters and financial conversion factors for construction cost estimation. No PII fields such as names, addresses, dates of birth, or contact information are present. All columns represent internal engineering variables, currency conversion rates, and calculation coefficients.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and project deliverables for public housing in Jeju. All columns represent project codes, quantities, unit prices, totals, and internal flags. No PII fields (email, phone, name, address, etc.) are present. Columns contain project descriptions in Korean, material codes, cost figures, and boolean flags — all internal business data with no personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The provided data is a structured table containing construction cost breakdowns and engineering specifications. The columns represent technical data such as material types, quantities, units, prices, and cost categories. There are no identifiable personal information (PII) fields such as names, addresses, emails, phone numbers, dates of birth, or social security numbers present in this dataset. All columns contain technical, financial, and project-related data typical of construction cost estimates and engineering reports.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal information. Columns contain cost categories, formulas, and engineering calculations related to public housing projects in Jeju. No PII fields identified.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains construction cost breakdown data for public housing projects in Jeju. Columns contain technical specifications like equipment types (중기사용료목록), specifications (규격), quantities (수량), unit prices (단위), total costs (합계), material ratios (재료비), labor ratios (노무비), equipment ratios (경비), and internal reference codes (E00000029030000000). No personal identifiable information (PII) is present — all columns map to construction/project data or internal identifiers. Columns 0-8 are technical specifications and cost data, column 10 contains internal project codes, and column 16 contains numeric counters. No email, phone, name, address, DOB, SSN, password, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains Korean construction cost breakdown data with no personal identifiable information. All columns represent project statistics (contract type, personnel counts, contract duration, cost totals) and contain no PII fields such as names, addresses, emails, or other personal data. The headers and values are entirely technical/project management data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a Korean construction cost estimation document (공사원가계산서) for a public housing project in Samdo-dong. The columns contain project names, cost categories, amounts, and notes — all business/project data with no personal identifiers. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is not structured PII data; it's a cost breakdown sheet for construction materials (waste disposal fees for concrete, asphalt concrete, tile). No personal identifiers present. Columns represent material types, units, and costs. All values are numeric or descriptive labels related to construction engineering, not personal data. This appears to be part of the architectural design reports mentioned in the breach context.

File structure

Notes: This is an unstructured Korean construction document. The sample shows project details for a public housing construction project in Jeju, including location (제주시 삼도이동 1244-1, 1246-1번지 일원), scope (폐기물운반, 폐기물 처리), and cost figures. No personal identifiable information (PII) columns exist in this structured tabular format. The content appears to be engineering/architectural deliverables rather than user/customer data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: All columns contain technical/construction cost data with Korean headers. No personal identifiable information (PII) fields detected. Columns include project codes, quantities, units, cost breakdowns, and internal reference codes. No emails, phone numbers, names, addresses, or other PII present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains no PII columns. All columns represent construction cost data, internal IDs, and engineering specifications (e.g., material types, quantities, unit prices). No names, emails, addresses, or other PII fields are present. Columns with numeric codes (e.g., 'G0000060202400000') are internal identifiers, not usernames or account IDs.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file is a structured CSV, but all visible columns and values are internal construction cost data (equipment names, quantities, unit prices, total costs, codes). No personal identifiers or PII fields are present. The columns map to internal business data, not user PII.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file is a structured technical parameters file for construction cost calculations. All columns contain internal codes, numerical coefficients, and financial conversion rates — no personal identifiable information (PII) is present. Columns like QCODE, QUS2WON, QYEN2WON, and others are all internal engineering/financial variables with no mapping to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown table in Korean with no personal identifying information. Columns contain project codes, material categories, quantities, units, cost breakdowns, and status flags — all business/project data, no PII. All columns are skipped per exclusion rules (company/business-related, financial/transactional, internal codes).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost breakdowns for public housing projects in Jeju. All columns appear to be technical/project-specific data (equipment types, specifications, quantities, unit prices, totals, cost breakdowns) and contain no personal identifiable information. No PII fields mapped.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file (likely Excel exported to CSV) with no personal identifiable information. All columns contain project codes, material/transport classifications, quantities, unit costs, and formulas. No names, addresses, emails, or other PII present. All columns map to skip categories (project codes, cost metrics, formulas).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file appears to be a structured construction cost breakdown report with technical engineering terminology. All columns contain internal construction project data (material types, quantities, calculations) with no personal identifiable information. No emails, phone numbers, names, addresses, or other PII fields are present. The data represents engineering specifications for public housing construction in Jeju (삼도이동 공공주택).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file with technical construction data columns, but none of the columns map to PII fields. The columns contain project-specific technical codes, measurements, and quantities related to construction deliverables (e.g., 포장깨기 수량산출, 규격, 산출근거, 수량). No personal information is present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal information. Columns contain technical specifications (material types, units, quantities) and financial totals. No PII fields detected.

File structure

Notes: This is a free-form table of construction cost breakdown data with no personal identifiers. The file contains structured engineering calculations (material quantities, unit weights, tonnage) but no PII fields. The format appears to be a plain text table with headers in Korean, not a CSV with delimited columns. No emails, phone numbers, or other PII are present in the sample.

File structure

Notes: This is a free-form text file containing structured data in Korean. There is no consistent delimiter or header row. The content appears to be a table of waste disposal data with no PII fields visible in the sample. Since there is no consistent structure and no PII, we classify this as unstructured with no columns to map.

File structure

Notes: This is a free-form text file with no consistent column structure. The data appears to be construction waste quantity summaries in Korean, with no identifiable personal information (PII) present. The format is not CSV or any structured tabular format, and contains only project-related data such as waste types, units, and quantities.

File structure

Notes: This is a free-form table of construction waste quantity data with no identifiable personal information. Columns represent waste categories, units, and quantities but contain no PII fields such as names, emails, addresses, or other personal identifiers. The structure is tabular but lacks any personal data fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured engineering cost breakdown file with no personal identifiable information (PII). All columns contain technical construction data (material types, measurements, calculations) related to structural demolition quantities for public housing projects. No email addresses, phone numbers, names, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and waste material quantities for public housing projects in Jeju. The data consists of numerical values, material types, and units of measurement. There are no personal identifiable information (PII) fields present in the first 50 rows. Columns appear to represent waste material types (폐기물 운반, 폐기물 처리), material categories (아스콘류, 콘크리트류, 폐타일), units (m3, ton), and quantities. All columns map to skip as they contain only technical/project data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns contain technical specifications, quantities, and measurements related to construction materials and processes. There are no personal identifiable information (PII) fields present in any of the columns. The data appears to be purely technical and administrative in nature, with no customer or employee personal data exposed.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju, South Korea. The content is entirely technical and contains no personal identifiable information (PII). Columns describe construction items, units, quantities, and notes about demolition and breaking of asphalt, concrete, block walls, and tile pavements. No names, addresses, emails, phone numbers, or other PII fields are present.

File structure

Notes: This is a free-form structured table with no personal identifiable information (PII). It contains engineering/construction cost breakdown data with numerical measurements and material types. No emails, phone numbers, or other PII appear in the sample. The format is not CSV but a tabular layout embedded in what appears to be a report/document structure.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a free-form structured file with no identifiable PII fields. The content appears to be engineering/architectural calculations related to transportation distances and time estimates for a public housing construction project in Jeju. There are no columns mapping to PII fields such as email, phone, name, address, etc. The data consists of project names, distances, speeds, and calculated time values.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured material cost sheet for construction projects in Jeju (South Korea). The data contains material names, specifications, units, unit prices, remarks, and internal material codes. No PII fields (email, phone, name, address, etc.) are present. All values are product descriptions, numerical quantities, pricing, and internal reference codes. Therefore, no columns map to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a Korean-language payroll or workforce file with occupational classifications and salary data. Columns appear to be: 구나 (category), 정류 (classification), 단위 (unit), 단가 (unit price), 비고 (memo), and internal reference codes. No PII is present in this snippet (no names, addresses, emails, etc.).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file contains structured construction cost breakdowns and engineering project data with no personal information. Columns include item descriptions, specifications, units, ratios, and cost figures. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown spreadsheet for public housing projects in Jeju (삼도이동 공공주택). All columns contain project codes, quantities, units, cost breakdowns, and internal reference codes. No PII fields (names, emails, addresses, etc.) are present. The data represents engineering specifications, cost estimates, and project metadata, typical of architectural/construction deliverable files from DoAllTech's breach.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured technical cost breakdown spreadsheet for construction projects. All columns contain numeric engineering parameters, percentages, and internal codes. No personal or identifiable information is present. Columns map to construction cost variables, not PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains structured construction cost data with Korean headers. All columns appear to be technical construction data fields (material codes, specifications, units, pricing, pages) and internal identifiers. No PII fields (email, phone, name, address, dob, ssn, etc.) are present. The columns with numeric codes (e.g., M0015006) and pricing data are internal project identifiers and cost breakdowns, not personal information.

File structure

Notes: This is not a delimited dataset with personal records. The file appears to be a Korean construction cost breakdown report (중기사용료) containing project deliverable data, not personal identifiable information. Columns contain engineering specifications, cost figures, and internal reference codes (e.g., 'M1510150520282163'). No PII fields are present. The structure is free-form tabular data with no consistent column headers or personal data patterns.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal identifiable information (PII). Columns contain equipment types, specifications, units, ratios, and cost figures — all business/technical data. No names, addresses, emails, phone numbers, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a technical parameters file for construction cost calculations with no personal identifiable information. All columns represent internal calculation codes, exchange rates, and engineering coefficients rather than personal data. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost breakdowns and engineering specifications for public housing projects. All columns contain technical data (material types, quantities, unit prices, totals) and internal flags. No PII fields (names, emails, addresses, etc.) are present. Columns with identifiers like 'X01', 'X13' are internal reference codes, not personal data. The '비고' column is blank and unused. All values are numeric or status flags (TRUE). No mapping to PII fields required.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file appears to be a construction cost breakdown spreadsheet in Korean, containing only technical engineering and cost data columns (e.g., material types, quantities, unit costs). No PII fields detected — all columns contain construction terminology, numerical values, and technical notes. Columns with blank headers and numerical/cost values map to internal accounting/engineering metrics, not personal data. No emails, phone numbers, names, or addresses present in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no PII fields. Columns contain engineering equipment names, specifications, quantities, material grades, cost breakdowns (material cost, labor cost, equipment cost, total cost), and internal reference codes. No personal identifiable information present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost breakdowns and engineering specifications for public housing projects. All columns appear to represent technical and financial data related to equipment, materials, labor, and cost calculations. No personal identifiable information (PII) fields such as names, addresses, emails, phone numbers, dates of birth, or social security numbers are present. The data consists entirely of project codes, quantities, units, cost figures, and technical notes — typical of construction cost estimation documents. No columns map to any PII categories.

File structure

Notes: This appears to be a structured tabular document in Korean with header-like labels (e.g., '과' meaning 'total', '심' meaning 'unit', '설' meaning 'calculation'). However, the data rows show no consistent delimiter pattern, and all values are either empty strings or static labels (e.g., '삼도이동' = 'Samdoi-dong', '공공주택' = 'public housing', '가선공사' = 'construction company', '고선불' = 'design'). There are no visible PII fields like names, emails, or addresses in the sample rows. Given the context (construction cost breakdowns for public housing projects), this is likely an internal engineering document header row followed by placeholder rows, not a dataset containing personal information. No structured PII mapping is possible.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This appears to be a header row or metadata row from a structured file, possibly a CSV. All visible values are Korean text describing project details (e.g., '강첵공사' = construction company, '공공주체' = public housing). No PII fields are present in this row. The file likely contains structured data elsewhere, but this specific row only includes project identifiers and empty fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown report for construction projects, not personal data. Columns contain technical specifications (공종 - work type), measurements (규격), quantities (수량), units (단위), and financial figures (재료비, 노무비, 경비, 합계). No personal identifiers or PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file appears to be a structured cost calculation sheet for construction materials and labor. All visible columns contain technical engineering data (unit prices, labor costs, material codes, calculations) and numerical values. No personal identifiers (email, phone, name, address, etc.) are present in the first 50 rows. All columns map to skip categories (internal cost codes, calculations, technical measurements).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju (삼도이동 공공주택). All columns contain engineering specifications, cost figures, and project metadata. No personal or identifiable information is present — all values are technical measurements, material types, unit prices, and totals in Korean won (￦). The headers are in Korean, but the content is entirely non-PII project data. No emails, names, addresses, or other PII fields exist in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost data for public housing projects. All columns are related to material pricing, quantities, and cost calculations. There are no personal identifiable information (PII) fields present — only technical and financial data such as item names, specifications, unit prices, and totals. All columns are marked as skip per the exclusion rules for financial/transactional and internal business data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains structured cost breakdown data for construction projects with no personal identifiable information (PII). Columns represent labor rates, item descriptions, units, and cost calculations in Korean. All values are numeric or categorical work classifications, not personal data. No emails, phone numbers, names, addresses, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured table of construction cost breakdowns for public housing projects in Jeju, South Korea. All columns appear to contain technical specifications, quantities, unit prices, and cost calculations for materials and labor. No PII fields (email, phone, dob, names, etc.) are present. The data consists entirely of project-related financial and material data, which are not considered PII under the defined criteria. All columns are skipped.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured cost breakdown file in Korean with no personal identifiers. Columns contain project cost categories, amounts, and calculation formulas. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for construction materials and labor. All columns contain internal project identifiers, material names, units, costs, and percentages. No personal identifiable information (PII) is present. Columns map to internal project codes, item descriptions, specifications, units, and financial figures — all skip per exclusion rules.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost breakdown data for public housing projects. All columns appear to represent project categories, quantities, unit prices, and cost totals. There are no personal identifiers (PII) such as names, addresses, emails, phone numbers, or dates of birth present in the visible data. The columns map to construction project metadata and financial figures, not to personally identifiable information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table in Korean for construction materials and labor. Columns contain numerical data (quantities, unit prices, totals) and Korean descriptions of construction activities/materials. No personal identifiable information (PII) is present — all values are project cost metrics, material specifications, and engineering calculations. All columns map to skip per exclusion rules (financial/transactional data, internal project metrics).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction cost breakdowns for public housing projects in Jeju, South Korea. All columns contain numerical project data (equipment types, units, costs) and internal identifiers. No PII fields (names, addresses, emails, etc.) are present. Columns 0-27 map to mechanical equipment cost summaries, not personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction projects in Jeju (삼도이동 공공주택). All columns contain project codes, item descriptions (tree planting types), specifications, units, cost categories (material cost, labor cost, management cost), totals, and notes. No personal identifiable information (PII) is present — all values are project-related financial and technical data. All columns map to skip per exclusion rules (company/business data, internal IDs, financial/transactional data, timestamps/dates).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a cost breakdown sheet for construction materials (fuel types: 경유, 공업용휘발유). No personal identifiers present. Columns are cost metrics, material types, and units. All columns are non-PII business data.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file, but all columns contain only construction project logistics data (distances, travel times, company names). No personal identifiable information (PII) fields are present. The data appears to be engineering calculations for transport distances and time estimates between construction sites and material suppliers for a public housing project in Jeju. All columns map to skip categories (company names, distances, calculations, timestamps).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains construction cost breakdowns and engineering specifications in Korean. The data appears to be technical specifications and measurements for public housing construction projects in Jeju. No personal identifiable information (PII) fields are present in the visible columns. The data consists of project types, sheet pile specifications, measurements, and structural calculations typical of engineering/architectural reports. All columns contain technical or structural data rather than personal information.

File structure

Notes: The provided sample contains no structured data or personal identifiable information (PII). The text appears to be Korean construction-related technical specifications (e.g., 'PHC PILE 공사', '산출근거', '정재하 시험') from architectural/engineering project documents. There are no email addresses, phone numbers, or other PII visible, and the data lacks consistent columnar structure across rows. This is not a delimited file with importable PII columns.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing engineering/architectural project cost breakdowns for public housing construction in Jeju. All columns contain project codes, material types, quantities, units, and calculations. No personal identifiable information (PII) fields are present. The data is purely technical and financial in nature, with no names, addresses, emails, or other PII.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and material specifications for public housing projects in Jeju. The columns contain technical engineering data (material types, dimensions, quantities, units, and calculations) in Korean. There are no personal identifiable information (PII) fields present. All columns map to construction/project data and should be skipped per exclusion rules (vehicle/product data, financial/transactional data). No emails, phones, names, addresses, DOB, SSN, passwords, usernames, or other PII fields are detectable.

File structure

Notes: This is not structured tabular data with consistent columns. The sample shows Korean construction engineering terminology and measurements rather than personal data. No identifiable PII fields present in the sample. The format appears to be engineering calculations or cost breakdowns for public housing construction in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file contains unstructured construction cost data with Korean headers and numerical values. No PII fields are present. Columns appear to represent engineering specifications (e.g., '가시설 집계표' = facility summary table), construction types (e.g., 'SHEET PILE 공사'), quantities, and notes. All values are technical/building-related data, not personal information.

File structure

Notes: This appears to be an engineering cost report from the DoAllTech breach containing construction material summaries (e.g., steel, cement, sand quantities). No personal identifiers present. The structure shows material categories in columns 4 and 12-16, with numeric quantities in column 16. This is not a user/personal data export.

File structure

Notes: This is a free-form Korean construction quantity takeoff document (수량집계표). It contains no identifiable personal information or structured columns — purely technical line items for civil engineering work. No emails, phone numbers, or PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a free-form text file with no consistent column structure. The data appears to be construction cost breakdowns and material specifications for concrete usage in public housing projects in Jeju, South Korea. There are no identifiable PII fields in this sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown table in Korean for public housing projects. All columns contain material types, specifications, units, and numerical quantities — no personal identifiable information (PII) present. Columns are entirely technical/building-related data (e.g., material types, sizes, volumes, quantities). No emails, names, addresses, or other PII fields exist in the sample.

File structure

Notes: The file is unstructured engineering calculation notes in Korean with no consistent columnar format. Contains technical calculations for backfilling volumes and drainage pipes, but no identifiable personal data fields or repeated structured rows. This is a free-form technical document, not a CSV or tabular data file.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file is a structured construction cost breakdown with no personal identifiable information (PII). It contains project codes, material types, measurements, and cost details related to public housing construction in Jeju. All columns represent technical specifications and quantities, with no fields mapping to email, phone, names, addresses, or other PII categories. No identifiable personal data is present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file is a structured construction cost breakdown report for public housing projects in Jeju, South Korea. It contains only technical and financial data (transport quantities, material types, units, amounts) with no personal information. All columns are internal project identifiers, material categories, measurement units, and numerical values — none map to any PII fields. No emails, names, addresses, or other personal data are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file appears to be a technical specification document for construction testing methods and material requirements. It contains structured data about construction materials, testing standards, quantities, and frequencies, but no personal identifiable information (PII) such as names, addresses, emails, or phone numbers. All columns appear to relate to engineering specifications, material types, testing standards (KS codes), and quantities rather than personal data.

File structure

Notes: This is a free-form technical document with construction specifications and calculations. No structured columns exist — it contains Korean text, numeric values, and engineering calculations related to road paving specifications for public housing in Jeju (삼도이동). No personal PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table for safety facility installation quantity summary (1-dong) in Korean, containing engineering/project data columns only. No PII fields detected. All columns map to construction project metrics (facility type, location, specification, unit, quantity, applied quantity, remarks). No personal data present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing engineering/architectural project data for public housing construction in Jeju. All columns appear to be technical specifications and quantities related to safety facility installations (e.g., PE drum installation, wing car hose setup). There are no personal identifiable information (PII) fields present in any of the columns. The data is purely project-related and contains no names, addresses, emails, phone numbers, or other PII fields.

File structure

Notes: free-form text with no consistent column structure; appears to be Korean construction cost report headers in Korean characters without delimited data rows

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The data appears to be in Korean and includes technical construction terms, quantities, and calculations. There are no personal identifiable information (PII) fields present in the first 50 rows. All columns contain construction-related data such as material types, quantities, and cost calculations.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file from DoAllTech's public housing projects in Jeju. The columns contain engineering terms, measurements, and calculations (e.g., '구조물깨기 수량산출' = structural demolition quantity calculation, '무근(30cm미만)' = unreinforced concrete under 30cm, '산출 근거' = calculation basis). There are no personal identifiers or PII fields — only technical construction data, quantities, and unit measurements. All columns map to skip per rules (vehicle/product data, financial/transactional, internal IDs, etc.).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured construction cost breakdown file with no personal identifiable information (PII). Columns contain technical construction data such as work types (기존구조물 철거, 포장절단), materials (아스콘, 콘크리트), units (m, m3, m2), quantities, and unit prices. No names, addresses, emails, phone numbers, or other PII fields are present.

File structure

Notes: This is a free-form structured table of construction cost breakdowns with no personal identifiers. The file contains engineering/architectural data related to public housing construction projects in Jeju, with columns representing categories, units, quantities, and calculations. There are no emails, phone numbers, or other PII in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to be technical fields related to construction quantities, units, and measurements (e.g., '골칼강가기 수량차운', '과객', '수량'). There are no personal identifiable information (PII) fields present. All values are numeric measurements, unit symbols, or technical descriptors with no names, addresses, emails, phone numbers, or other PII content.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal identifiable information. Columns contain technical specifications and quantities for demolition work (asphalt/concrete removal, tile breaking, etc.) and do not contain any PII fields. All columns map to skip categories (project codes, measurements, unit types, totals).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured construction cost breakdown report in Korean, containing only engineering data and measurements. No PII fields are present. Columns contain engineering categories, quantities, and units (m3, m2) but no personal information such as names, emails, addresses, etc.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a construction cost breakdown file with Korean headers and numerical data. No PII fields are present - all columns contain technical measurements (cubic meters), material types, and construction activity codes. The headers are in Korean and values are numerical measurements for civil engineering work.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with Korean headers and numerical calculations. No personal identifiers (PII) are present. All columns contain engineering/architectural data such as quantities, measurements, and calculations for public housing projects in Jeju. No emails, phone numbers, names, addresses, or other PII fields are detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal identifying information. All columns contain technical measurements, calculations, and project-specific data related to public housing construction in Jeju. No PII fields are present.

File structure

Notes: free-form text with no consistent delimiter structure; appears to be Korean construction cost breakdown tables with no personal identifiers

File structure

Notes: free-form text with embedded emails / phones

File structure

Notes: The provided text is not a structured CSV or tabular dataset but appears to be a fragment of a construction cost breakdown or calculation sheet in Korean. It contains Korean text, calculations, and lacks any consistent columnar structure or identifiable PII headers. There are no emails, phone numbers, or other PII visible in the sample lines. Since there is no consistent delimiter or row structure, and the content is free-form engineering calculations, this file is classified as unstructured with no columns to map.

File structure

Notes: The provided text is not a structured delimited file; it appears to be unstructured Korean engineering/architectural data tables in free-form text format (likely construction cost breakdowns and material summaries). There are no consistent column delimiters or headers, and the content is purely descriptive tabular data without identifiable PII columns. No emails, phone numbers, or other PII are visible in the sample.

File structure

Notes: The provided sample is unstructured data containing construction cost breakdowns and architectural design reports. There are no consistent columns or delimiters, and the content appears to be free-form text with Korean construction-related data tables rather than personal PII records. No identifiable PII fields are present in this sample.

File structure

Notes: The provided text is not a structured delimited file; it appears to be Korean construction material summary reports with no consistent column structure or header. The content includes project types, quantities, units, and notes in Korean, but lacks any identifiable personal information or PII fields. This is typical of engineering/architectural design documents from the breach context.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. All columns contain engineering/construction data (quantities, measurements, formulas) related to public housing projects in Jeju. No personal identifiers, contact info, or sensitive data present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. All columns contain engineering/construction data (quantities, calculations, measurements) with no personal information. Values are numeric measurements, unit labels, and calculation notes related to public housing construction in Jeju.

File structure

Notes: free-form text with no consistent delimiter structure; appears to be raw construction specification notes in Korean rather than a structured dataset with columns

File structure

Notes: The provided rows appear to be in Korean and represent unstructured data tables or form-like entries with no consistent delimiter or column structure. The lines show fragmented text with no repeating pattern or identifiable column headers. The content seems to be construction-related data (e.g., "우수관", "원심력사각수로관", "집 수 정") but lacks any structured format suitable for CSV parsing. Additionally, there are no visible emails or phone numbers in this sample. Therefore, this is classified as unstructured text without importable columns.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing technical construction specifications and measurements for public housing projects. No personal identifiable information (PII) fields are present; all columns contain engineering data, measurements, and project details. Columns are in Korean and represent technical parameters such as pipe diameter, length, test counts, and inspection metrics. No email addresses, phone numbers, names, or other PII appear in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to contain technical specifications, quantities, and calculations related to sewer manholes and construction materials. There are no personal identifiable information (PII) fields present in the first 50 rows. The columns contain Korean text describing construction types, units of measurement (m3), quantities, and notes — all related to engineering/architectural project data rather than personal data. No emails, phone numbers, names, addresses, or other PII fields are detectable in this sample.

File structure

Notes: The file appears to be a structured technical specification document in Korean for septic tank installation (오수맨홀). Columns contain engineering measurements and design parameters, not personal identifiable information. No PII fields detected. The data is technical and architectural in nature, consistent with the breach context of construction project documents.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. All columns appear to contain engineering/construction data (unit quantities, calculations, measurements). No personal information such as names, emails, phone numbers, or addresses is present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file appears to be a structured construction cost breakdown report in Korean, containing technical engineering data and numerical aggregates. No personal identifiable information (PII) fields such as names, emails, addresses, or dates of birth are present. All columns represent project metrics, material quantities, and engineering calculations related to public housing construction in Jeju. No columns map to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with Korean headers and numerical values. No PII fields detected. Columns contain engineering specifications, quantities, and calculations for rainwater collection systems, earthwork, and concrete pouring in a public housing project in Jeju. All columns appear to be technical/project data, not personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects. All columns appear to be internal construction metrics and material specifications (e.g., '우수관 수량집계' = pipe quantity summary, '규 격' = specification, '단 위' = unit price). No personal identifiers or PII fields are present. The data is purely technical and financial, related to civil engineering deliverables.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file is a structured CSV containing engineering/construction data (centrifugal square culvert quantities). All columns are technical specifications, measurements, and calculations — no personal identifiers, names, addresses, emails, or PII present. The data represents project deliverables for public housing construction in Jeju, not user or customer records. No PII columns to map.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects in Jeju. All columns contain engineering specifications, material types, calculations, and quantities. There are no personal identifiers (PII) present in any of the columns. The data is purely technical and relates to architectural/engineering deliverables from the DoAllTech breach context.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a structured construction cost breakdown table in Korean, not containing any personal PII fields. Columns contain technical construction data such as work type, specifications, unit, height, quantity, and totals. No names, addresses, emails, or other PII are present. All columns map to skip categories per the rules (company/project data, internal IDs, timestamps, etc.).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. This appears to be a structured construction cost breakdown spreadsheet for public housing projects in Jeju, containing technical specifications and quantities for building materials. All columns contain engineering measurements, material codes, and unit counts with no personal identifiers.

File structure

Notes: This is a Korean-language civil engineering cost breakdown document (구분, 위치, 연장, 깊이, 본수, 접합 등). It contains no personal PII fields — only infrastructure construction data (pipe types, depths, lengths, counts). The column headers and values are technical specifications, not personal identifiers. Therefore, no PII columns to map.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a structured CSV file containing construction cost breakdown data for public housing projects in Jeju (삼도이동 공공주택). All columns contain numerical values, units, and engineering calculations (e.g., pipe quantities, depth measurements, formulas). There are no personal identifiers, names, contact details, or PII fields in any column. All columns represent technical specifications and calculations related to architectural/engineering deliverables.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file appears to be a structured table with Korean headers and numerical construction cost data. Columns contain technical measurements (m3, mm) and project codes. No personal identifiable information (PII) fields such as email, phone, name, address, or date of birth are present. All columns represent engineering specifications, quantities, and cost breakdowns for public housing construction in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains structured engineering cost breakdown data for public housing construction projects in Jeju. All columns appear to represent construction metrics (pipe quantities, unit amounts, etc.) with Korean headers and numerical values. No personal or identifiable information is present in any column. All columns are technical specifications and calculations related to sewage pipe installations (오수관) and earthwork (토공) — typical of construction cost reports. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing engineering cost breakdown data for public housing construction in Jeju. All columns appear to be technical specifications and calculations (e.g., unit quantities, material types, distances, formulas) with no personal or identifiable information. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns contain numerical values, units (e.g., "m" for meters), and engineering terms. There are no personal identifiers (PII) such as names, email addresses, phone numbers, dates of birth, or other sensitive personal data. The columns represent engineering measurements and calculations, not personal information. Therefore, no columns map to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file contains construction cost breakdown data for public housing projects in Jeju. All columns appear to be internal technical/project identifiers, numeric quantities, and construction parameters. No personal identifiable information (PII) is present. Columns contain values like material quantities (0.8, 0.15), formulas (터파기고 =, 토피 =), and unit measurements (m). These are standard engineering calculation fields and do not map to any PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains only construction engineering data (quantities, measurements, calculations) with no personal or identifiable information. All columns represent technical parameters for water pipes, depths, and structural calculations in public housing projects. No PII fields are present.

File structure

Notes: The file appears to be a Korean-language structured table in CSV format with headers in Korean, but the provided rows are entirely non-data placeholder lines (like section headers "Ⅲ. 상 수 도 공" and "수 량 집 계 표"). There are no actual data rows containing PII values in the first 50 rows. Since there is no usable structured data with PII, we classify this as unstructured for further processing.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The columns appear to be in Korean and represent engineering specifications, quantities, and measurements. There are no personal identifiable information (PII) fields present in the first 50 rows. All columns contain technical data related to construction materials, units, and calculations.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with entirely Korean engineering terminology. Columns contain project codes, component types, specifications, quantities, and unit counts. No personal identifiable information (PII) fields present — all data relates to architectural/structural components and numerical metrics for public housing projects in Jeju. All columns are skipped per exclusion rules (company/business/project data, internal IDs, transactional/financial values).

File structure

Notes: This is a structured engineering cost breakdown file in Korean, not containing any personal identifiable information. The data represents material quantities and specifications for public housing construction in Jeju. No PII fields are present, and the format is tabular but contains only project-related technical data rather than personal data.

File structure

Notes: free-form text with no consistent delimiter structure; appears to be Korean engineering notes with no identifiable PII in sample

File structure

Notes: free-form text with no consistent delimiter structure; appears to be Korean text fragments from construction documents rather than tabular PII data

File structure

Notes: free-form text with embedded emails / phones

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects in Jeju. The columns represent engineering specifications and quantity summaries with no personal identifiable information (PII). All columns are technical fields related to construction materials, measurements, and totals — no names, addresses, emails, phone numbers, or other PII fields are present. Therefore, no columns map to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The columns are all technical specifications and measurements related to construction materials and quantities. There are no personal identifiable information (PII) fields present in the first 50 rows. All columns contain engineering specifications, measurements, and construction-related data, which are not considered PII according to the provided field types.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown report in Korean (Hangul) for road marking and parking block installation. No personal or identifiable information is present — only project line items, quantities, units, and pricing. All columns are technical/project data and should be skipped per exclusion rules. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing engineering/architectural cost breakdown data for public housing construction in Jeju. The file contains no personal identifiable information (PII) fields. Columns include categories, dimensions, quantities, and cost metrics for road marking, electrical vehicles, and colored paving — all technical project data. No names, emails, addresses, or other PII appear in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file but contains no identifiable PII fields. All columns appear to be technical construction/engineering data (parking indicators, dimensions, CAD outputs, quantities). No emails, names, addresses, phone numbers, or other personal data are present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains construction cost breakdown data with no PII fields. Columns represent technical specifications like material types, dimensions, quantities, and units. No personal information is present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects. The columns are in Korean and represent technical specifications, material types, dimensions, and quantities. There are no personal identifiable information (PII) fields present in this dataset. All columns contain technical/project data related to architectural design and construction cost estimates, which are excluded per the rules (vehicle/product data, financial/transactional data, etc.).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing technical construction specifications for public housing in Jeju. Columns contain engineering terminology and numerical data related to material quantities, dimensions, and units. No personal identifiable information (PII) fields such as names, emails, phone numbers, addresses, or dates of birth are present. All columns map to construction data fields and should be skipped per exclusion rules for internal project deliverables.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains only construction cost and material breakdown data for public housing projects in Jeju. No personal identifiable information (PII) fields are present. Columns describe material types, dimensions, units, quantities, and cost calculations — all internal business data without any names, addresses, emails, or other PII.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to contain technical specifications, measurements, and quantities related to construction materials and units. No personal identifiable information (PII) fields are present. The data includes material types, specifications, distances, dimensions, and quantities in Korean units. All columns map to technical construction data and should be skipped per exclusion rules for vehicle/product data and financial/transactional data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost breakdown data for public housing projects in Jeju. All columns appear to contain technical specifications, material types, quantities, and units — no personal or identifiable information is present. All columns are skipped per rules (company/project data, internal IDs, timestamps, etc.).

File structure

Notes: This is a construction cost breakdown table in Korean with no personal PII. Columns contain structural engineering data (quantity, type, unit, dimensions) and financial totals. No emails, phone numbers, names, or other PII appear in the sample. The format is tabular but contains only technical/operational data, not personal records.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju. All columns contain engineering and cost data (types of work, dimensions, quantities, units). No personal identifiable information (PII) fields such as names, addresses, emails, or phone numbers are present. All columns are skipped per exclusion rules for internal project data and financial/transactional fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and material specifications for public housing projects in Jeju. All columns contain technical specifications (types, dimensions, units, quantities) and numerical values related to construction materials. There are no personal identifiable information (PII) fields present in any of the columns. The data appears to be internal project deliverable files from DoAllTech's construction cost estimates and material calculations.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and material specifications for public housing projects in Jeju. All columns contain technical specifications and quantities for building materials (e.g., 경계석(150×150×500) 단위수량), with no personal or identifiable information present. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju, South Korea. The data contains only technical specifications and quantities for boundary stones, concrete, and other materials. There are no personal identifiable information (PII) fields present. All columns appear to be internal project data and technical measurements, not containing any names, addresses, emails, phone numbers, or other PII.

File structure

Notes: This is unstructured data with no consistent column delimiter. The file appears to be a construction cost breakdown sheet in Korean, containing material specifications, quantities, and calculations. There are no identifiable PII fields in this sample. The data represents engineering/architectural project deliverable files related to public housing construction in Jeju, as described in the breach context.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal identifiable information. All columns appear to contain technical specifications, material types, dimensions, and quantities related to structural calculations for public housing projects. No PII fields detected.

File structure

Notes: free-form text with no consistent delimiter structure; appears to be construction material specifications in Korean with no identifiable PII columns

File structure

Notes: This is unstructured data representing construction cost calculations for public housing projects in Jeju. The file contains no consistent columnar structure—only free-form calculations and measurements. No PII columns exist to map.

File structure

Notes: free-form text with embedded emails / phones

File structure

Notes: This is not a structured data file but appears to be a free-form document containing Korean engineering/architectural design report headers and section titles. The content includes phrases like '⑥. 부 대 공' (V. Section) and '수 락 집 계 표' (Quantity Takeoff Table). There are no consistent columns, only document section markers. This is typical of construction cost estimation documents in HWP/PDF formats, not CSV data. No PII is present in this header sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The data includes material transport, unloading, equipment transport, anti-falling prevention, wastewater treatment facilities, disabled signboard installation, and pillar safety cushions. All columns appear to be related to construction project details (material types, specifications, units, quantities, remarks) and do not contain any personally identifiable information (PII). There are no columns mapping to email, phone, dob, names, addresses, ssn, password, username, country, gender, suffix, or facebookId. Therefore, no PII columns are present.

File structure

Notes: free-form text with embedded emails / phones

File structure

Notes: This is unstructured error log output from a browser cache process, not a delimited data file. The lines contain system error messages about cache_path creation failures and do not represent any structured records or PII. There are no consistent columns or headers to map.

File structure

Notes: The provided text is error logs from a browser cache system, not structured data containing PII. There are no consistent columns or delimiters, and the content consists of technical error messages rather than any personal or identifiable information. This is not a data breach file with PII records.

File structure

Notes: This is unstructured error log output, not a delimited data file. Contains no consistent columns or PII. The lines show browser cache errors and do not contain any personal information or structured records.

File structure

Notes: The provided sample is unstructured error log output from a browser application (Chrome). It contains no tabular data or consistent delimiter structure. There are no visible emails, phone numbers, or other PII in the sample lines. The content appears to be system-level error messages about cache path creation failures, not user data. Therefore, this is correctly classified as unstructured with no columns to map.

File structure

Notes: free-form text with no consistent delimiter structure; contains error logs from Adobe Acrobat, not structured data with PII columns

File structure

Notes: This is unstructured log/error output from a browser application (Acrobat) showing cache path errors. It contains no tabular data or PII. The lines are error messages, not delimited records, and do not contain any personal information.

File structure

Notes: The file is a free-form technical document about rainfall runoff calculations for public housing projects in Jeju. Contains engineering calculations, design criteria, and hydraulic parameters. No structured tabular data with personal information is present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file appears to be a technical specification sheet for reinforced concrete pipes used in public housing construction projects in Jeju. It contains only engineering specifications (pipe diameters, thickness, area, and R values) with no personal or identifiable information. All rows are data rows with no header, and all columns contain numerical engineering measurements. No PII fields are present.

File structure

Notes: free-form text with no consistent delimiter structure; appears to be engineering calculation results with no personal data

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction in Jeju (삼도이동 공공주택). The file contains only construction material and labor cost data, project codes, and engineering specifications. No personal identifiable information (PII) is present in any column. All columns represent construction items, units, quantities, unit prices, and cost totals — typical of engineering cost reports. No names, addresses, emails, phone numbers, or other PII fields are detectable.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction cost breakdowns for public housing projects in Jeju (삼도이동 공공주택). The columns are entirely in Korean and represent financial and project management data (e.g., cost categories, quantities, unit prices, totals). There are no personal identifiable information (PII) fields present — all columns are project-related financial metrics, internal codes, and annotations. No emails, phone numbers, names, addresses, DOB, SSN, etc. are present. All columns are marked as skip per rules (company/business context, financial/transactional data, internal codes).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown sheet for public housing construction projects in Jeju. All columns contain project identifiers, item names, specifications, units, pricing figures, and internal codes. No personal identifiable information (PII) fields are present. Columns map to construction cost data, material specifications, and internal project codes rather than personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file is a structured cost breakdown report for a public housing construction project. It contains only financial calculations, project codes, and cost categories. No personal identifiable information (PII) fields such as names, addresses, emails, phone numbers, dates of birth, SSNs, passwords, usernames, gender, suffixes, or Facebook IDs are present. All columns represent internal accounting codes, cost totals, and percentage calculations, which are excluded per the rules for internal financial/transactional data.

File structure

Notes: This is a Korean construction cost breakdown table with no personal identifiers. The file contains project names, specifications, units, quantities, material ratios, costs, labor ratios, and accounting figures — all business/project data with no PII. No emails, phone numbers, or names are visible. This is a standard construction cost estimate table format, not free-form text with embedded PII.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects. All columns contain project codes, item descriptions, specifications, units, material ratios, labor ratios, cost ratios, total costs, numbering, notes, labor coefficients, surcharges, and item summaries. No personal identifiable information (PII) is present. Columns are in Korean and map to construction/engineering data fields, not PII categories. All values are technical specifications and cost figures, not names, addresses, emails, or other PII.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a construction cost breakdown file from DoAllTech's public housing project in Jeju. All columns contain internal project codes, material specifications, quantities, and cost figures. No personal information is present - all values are technical/project identifiers, material types, measurements, and numerical cost data. Columns 0 and 10 contain internal reference codes (not user IDs), columns 1-2 describe materials/transport, columns 3-7 are units/quantities/costs, column 8 is a project section number, and column 9 is a notes field. This is purely engineering/financial data with no PII.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured engineering cost estimation sheet with no personal identifiable information. Columns contain technical codes, cost categories, and numerical coefficients — no names, addresses, emails, or other PII fields. The file is purely operational data from DoAllTech's construction cost modeling system for public housing projects in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction projects in Jeju (삼도이동 공공주택). All columns contain project codes, quantities, unit prices, and monetary values — purely construction/business data with no personal information. No PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file appears to be a technical engineering cost calculation document for construction materials transport. All visible columns contain technical specifications, numerical calculations, and cost breakdowns for logistics operations. There are no personal identifiers (PII) present in the first 50 rows. The data includes transport distances, vehicle types, material quantities, unit weights, time calculations, and cost summaries — all related to construction project logistics rather than personal data.

File structure

Notes: This is a structured engineering cost report for public housing construction in Jeju (삼도이동 공공주택). All columns contain project metadata, quantities, unit prices, and financial totals. No PII fields are present. The data appears to be part of the internal project deliverable files mentioned in the breach context, containing architectural design reports and construction cost estimates rather than personal customer/employee data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains construction cost comparison data for public housing projects in Jeju (삼도이동 공공주택). All columns contain project identifiers, cost categories, and financial figures — no personal PII fields (names, emails, addresses, etc.) are present. The content is purely structural engineering and cost management data, typical for construction project documentation.

File structure

Notes: This is a Korean-language construction cost breakdown file with no personal identifiers. The content contains project names, cost categories, and numerical values related to public housing construction in Jeju (삼도이동 공공주택). No PII fields are present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction projects. All columns contain project codes, units, quantities, unit prices, and monetary values — no personal identifiable information (PII) present. The data represents construction cost estimates for items like container offices, warehouses, and test labs with associated pricing and accounting codes.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file is a structured construction cost breakdown for public housing projects in Jeju. All columns contain engineering/project data (project names, quantities, unit prices, totals) and no personal identifiable information. No PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction projects in Jeju (삼도이동 공공주택). All columns contain project codes, quantities, units, cost components, and financial figures. No personal identifiable information (PII) is present — these are internal engineering/financial metrics, not customer or employee data. All columns map to skip categories (project identifiers, cost codes, numerical values).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file appears to be a structured cost breakdown report for public housing construction projects in Jeju (삼도이동 공공주택). The columns contain project codes, quantities, unit prices, and monetary values in Korean currency. No personal identifiable information (PII) is present in the visible columns — all entries are technical/cost-related data, project identifiers, and numerical values. No email, phone, name, address, or other PII fields are detected.

File structure

Notes: This is a construction cost breakdown table for public housing in Jeju (삼도이동 공공주택). The file contains no personal information; it is purely technical and financial data related to engineering/architectural deliverables. No PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown table in Korean, not a PII dataset. All columns represent project codes, quantities, unit prices, and monetary values. No personal information (names, emails, addresses, etc.) is present. All columns are marked as skip per rules (company/project data, financial/transactional, internal IDs).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and engineering calculations. There are no personal identifiable information (PII) fields present in the first 50 rows. The data consists of numerical values, percentages, and descriptive labels related to project costs, materials, labor, and insurance — all business/financial data. No columns map to PII fields (email, phone, name, address, etc.).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no PII fields. Columns contain project names, quantities, unit prices, and financial totals related to public housing construction in Jeju. All data is structural/project-related, no personal identifiers present.

File structure

Notes: This is not PII data. This appears to be a construction cost breakdown spreadsheet for public housing projects in Jeju, South Korea, detailing material specifications, quantities, unit prices, and total costs for various construction works such as retaining wall construction, tie beam construction, bracing construction, foundation pile construction, transportation costs, and material procurement. There are no personal identifiers such as names, addresses, email addresses, phone numbers, dates of birth, social security numbers, passwords, usernames, or other PII fields present in this data. The data consists entirely of project codes, work descriptions, quantities, units of measure, and financial figures.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The file appears to be a structured construction cost breakdown report in Korean, containing financial calculations and project-specific codes. There are no personal identifiable information (PII) fields present. All columns contain project codes, cost categories, percentages, and financial calculations — no names, addresses, emails, phone numbers, dates of birth, SSNs, or other PII fields. This is purely a financial/engineering document with no personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file contains only structured cost breakdown data for construction projects (materials, labor, insurance, taxes, fees). There are no personal identifiable information (PII) fields present. All columns represent financial categories, percentages, and calculations related to architectural/engineering project costing.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a Korean construction cost breakdown spreadsheet with no PII fields. All columns contain project codes, cost categories, amounts, and percentage calculations related to public housing construction in Jeju. No personal identifiers (names, emails, addresses, etc.) are present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured construction cost breakdown file with Korean headers. All columns contain project codes, quantities, unit prices, and monetary values related to machinery installation for public housing construction. No personal identifiable information (PII) is present — columns map to project details, financial figures, and technical specifications. All values are numeric identifiers, cost figures, or descriptive project codes. No email addresses, phone numbers, names, or addresses appear in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects in Jeju. The columns represent items, specifications, units, quantities, unit prices, total amounts, and notes. None of the columns contain personally identifiable information (PII) such as names, addresses, emails, phone numbers, dates of birth, or social security numbers. The data is purely technical and financial, related to machinery installation services, specifications, and cost calculations.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured cost breakdown report for a construction project. All values are financial figures and construction-related data. No PII fields (names, addresses, emails, etc.) are present in the first 50 rows. The data contains cost categories, subtotals, and percentages related to materials, labor, taxes, and other construction expenses.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file contains structured financial/construction cost breakdown data in Korean. There are no personal identifiers (PII) such as names, addresses, emails, phone numbers, DOB, SSN, etc. The columns contain cost categories, amounts, percentages, and calculations — all business/financial data. No PII fields to map.

File structure

Notes: This is unstructured Korean-language construction cost estimation data with no identifiable PII columns. The sample contains Korean text (Hangul), numeric values, and financial/engineering terms related to public housing construction in Jeju, but no personal identifiers like names, emails, addresses, or phone numbers.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file appears to be a structured construction cost breakdown sheet in Korean for a public housing project in Samdoi-dong, Jeju. The data contains technical specifications, quantities, unit prices, and cost calculations for mechanical equipment (excavators) and materials. There are no personal identifiable information (PII) fields present — all columns relate to engineering specifications, pricing, and project accounting. All columns map to internal project data and are therefore skipped per exclusion rules.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost data for public housing projects in Jeju. All columns appear to be related to construction materials, pricing, and project identifiers. There are no personal identifiable information (PII) fields present. The columns contain material names, specifications, units, prices, and project codes, all of which are business/project-related data rather than personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV containing construction cost breakdowns and project deliverables for public housing in Jeju. Columns contain project codes, units, quantities, cost breakdowns, and notes. No PII fields (email, phone, name, address, etc.) are present. All columns map to skip categories: internal project codes, financial/transactional data, and timestamps.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction material specifications and cost breakdowns for public housing projects. All columns appear to be internal project identifiers, material descriptions, units, quantities, pricing, and procurement numbers. No PII fields (email, phone, name, address, DOB, SSN, etc.) are present. Columns contain technical specifications and financial data, which are excluded per rules. Column 12 contains procurement/item numbers (24583792, etc.), which are internal IDs and should be skipped.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided rows appear to be a structured cost breakdown report for a construction project in Jeju. The content consists of financial calculations, cost categories, and percentages, but there are no personal identifiable information (PII) fields present. All columns relate to project accounting and financial metrics, with no names, addresses, emails, phone numbers, or other PII types detectable. Therefore, no columns map to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects. All columns appear to represent engineering specifications, quantities, unit prices, and cost calculations. There are no personal identifiers, contact information, or PII fields present in any of the columns. The data is purely technical and financial in nature, listing equipment names, specifications, quantities, and associated costs.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects in Jeju. All columns appear to be technical and project-related (e.g., item codes, specifications, units, material ratios, labor ratios, cost ratios, totals, issue numbers). No PII fields are present — all columns are internal project identifiers, technical specifications, and numerical cost data. The Korean headers translate to: [0] 'Code', [1] 'Item Name List', [2] 'Specification', [3] 'Unit', [4] 'Material Ratio', [5] 'Labor Ratio', [6] 'Cost Ratio', [7] 'Total', [8] 'Number', [9] 'Remarks', [10] 'Labor Coefficient', [11] 'Inflation', [12] 'Item Summary'. No emails, names, addresses, or other personal data are visible.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost estimation sheet for construction projects, containing only technical codes, categories, and numerical coefficients. No personal or identifiable information is present in any column. All columns represent internal engineering variables, pricing formats, and calculation parameters — none map to PII fields. The data is purely technical and administrative.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured construction cost breakdown file for public housing projects in Jeju. All columns contain project codes, quantities, unit prices, and monetary values — no personal identifiable information (PII) present. Columns represent engineering specifications and financial data, not personal data.

File structure

Notes: The provided file is not a delimited dataset with PII columns. It appears to be a structured inventory or cost breakdown of construction materials (pipes, fittings, valves) with item codes, descriptions, quantities, unit prices, and totals. There are no personal information fields such as names, addresses, emails, or phone numbers present. All columns map to internal product identifiers, material specifications, and financial data, which are not PII according to the rules.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This appears to be a Korean-language payroll or employee classification file with no PII columns present. Columns include employee category (보통인부, 특별인부, 형틀목공, etc.), job type (일반공사 직종), unit (인), wage amounts, and internal numeric codes. No personal identifiers (names, addresses, emails, etc.) are visible in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: No PII found in the first 50 rows. The file contains structured construction cost data with columns for item description, unit, quantity, unit price, total price, and internal codes. No personal information such as names, addresses, emails, phone numbers, or other PII fields is present in the visible data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains unstructured material specifications for construction projects. All columns appear to be internal product codes, measurements, and quantities — no personal information present. Columns 0-14 all map to skip categories (product names, dimensions, unit counts, cost values, internal part numbers, application flags). No PII fields identified.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file for public housing projects in Jeju. All columns appear to be internal project identifiers, cost categories, quantities, units, and monetary values. No personal identifiable information (PII) fields are present. Columns contain project names (e.g., '삼도이동 공공주택건립사업'), specifications, quantities, units, cost ratios, and monetary amounts. None of these map to PII fields such as email, phone, name, address, DOB, SSN, etc.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction project cost breakdowns for public housing in Jeju. All columns contain project classifications, duration periods, percentage values, and financial figures. No personal or identifiable information (PII) is present. Columns are in Korean, and values are project categories, durations, percentages, and monetary amounts.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for public housing construction projects in Jeju (삼도이동 공공주택). All columns contain project codes, quantities, units, unit prices, and monetary values — purely business/transactional data with no personal identifiers. No PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file appears to be a structured cost breakdown or material specification document in Korean for construction projects. All columns contain internal project identifiers, material specifications, pricing information, and timestamps. There are no personal identifiable information (PII) fields such as names, addresses, emails, phone numbers, dates of birth, or social security numbers. Columns represent material codes, descriptions, specifications, units, pricing, and timestamps — all internal business data. No PII columns present.

File structure

Notes: This is not structured data; it appears to be a technical specification or variable listing in Korean for construction cost calculations. There are no consistent columns or delimiters, and the content is purely technical parameters (e.g., variables A, R, S with numeric values and descriptions). No PII is present, and the format does not conform to CSV/TSV/structured tables.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to be internal project identifiers, cost categories, quantities, and financial figures. No personal identifiable information (PII) is present in any column. Columns contain Korean text describing construction items and cost metrics, with numeric values representing quantities and amounts. All columns map to internal business data and should be skipped per exclusion rules.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing construction equipment and labor cost data. There are no personal identifiable information (PII) fields present in the visible data. All columns appear to contain equipment names, specifications, unit prices, and internal reference codes (G and L series codes). No email addresses, phone numbers, names, addresses, dates of birth, SSNs, passwords, usernames, or other PII fields are detectable in the sample data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing engineering cost calculation variables and coefficients (e.g., exchange rates, labor coefficients, cost factors). All columns appear to be technical parameters and financial constants with no personal identifiable information (PII). There are no columns mapping to email, phone, name, address, DOB, SSN, password, username, gender, suffix, or country. The data consists entirely of numeric and alphanumeric codes, formulas, and coefficients used in construction cost estimation.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with Korean headers. All columns contain project codes, quantities, unit prices, totals, and flags — no personal identifiable information (PII) is present. Columns 10 and 26 contain project codes (Y613111, KF00000-31, etc.) and arrows, not user identifiers. No emails, phone numbers, names, addresses, or other PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost estimation table for construction projects. All columns contain technical construction data (material types, quantities, unit prices, cost breakdowns) and internal reference codes. No personal identifiable information (PII) is present in any column. Columns map to construction industry metrics (e.g., '곳 종 명' = work type name, '수량' = quantity, '한위' = unit, '한가계' = unit price total, '국가계' = total cost). Empty columns and codes like '_CDC221200000' are internal project identifiers. No emails, phone numbers, names, addresses, or other PII fields exist.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The provided sample data appears to be structured as a construction cost breakdown sheet in Korean, with columns containing project codes, cost calculations, and notes. There are no identifiable PII fields such as names, emails, phone numbers, addresses, or dates of birth present in the visible headers or sample values. All columns appear to contain project-specific codes, cost figures, and internal notes rather than personal information. Based on the breach context (DoAllTech construction cost documents), this is expected to be purely technical/project data without personal identifiers.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with columns describing equipment types, specifications, quantities, unit prices, total costs, material ratios, labor ratios, and profit margins. All columns contain technical/engineering data about machinery and cost calculations. No PII fields (names, emails, addresses, etc.) are present. The codes like E00000029030000000 appear to be internal project or item identifiers, not user identifiers or PII. Therefore, no columns map to PII fields.

File structure

Notes: The file appears to be a structured table in Korean related to construction cost breakdowns for public housing projects, with headers and numerical data. It contains no personal identifiable information (PII) fields such as names, emails, phone numbers, etc. The data represents project classifications, personnel counts, contract periods, and financial figures rather than individual user data. This is typical of internal engineering/architectural project documentation from the DoAllTech breach.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file appears to be a Korean construction cost estimation document (공사 원가 계산서) for a public housing project in Samdo-dong (삼도이동 공공주택). All columns contain project identifiers, cost categories, monetary values, and notes in Korean. There are no personal identifiers (PII) such as names, emails, phone numbers, addresses, or dates of birth. The data is purely business/project-related financial and descriptive information. All columns are marked as skip per the exclusion rules for company/business data and internal project identifiers.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file but contains NO personal identifiable information (PII). The data appears to be construction cost breakdowns for public housing projects in Jeju (삼도이동 공공주택), with columns describing waste processing costs (폐기물처리비), waste types (폐콘크리트, 폐아스콘, 폐타일), units (ton), and cost figures. There are no columns mapping to email, phone, name, address, DOB, SSN, or other PII fields. All columns represent project-specific financial and material data.

File structure

Notes: This is a free-form document containing Korean engineering/architectural design and cost documents. It shows no consistent column structure across rows — each line contains different text patterns and there are no repeating delimiters like commas or tabs. The sample shows project details such as location (제주시 삼도이동 1244-1), project type (폐기물운반, 폐기물 처리), and cost figures. This is typical of Korean engineering reports and cost breakdowns, not a tabular dataset with PII columns. Since there is no consistent delimiter structure and the data is unstructured prose, we treat this as unstructured text with no column mappings.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains structured construction cost breakdown data with Korean headers. No personal identifiable information (PII) fields are present. Columns contain project codes, quantities, units, cost breakdowns, and technical codes related to waste management for public housing construction in Jeju. All columns represent business/transactional data, financial figures, or technical specifications — none map to email, phone, name, address, DOB, SSN, password, or other PII categories. No columns should be mapped as PII per the exclusion rules (company/business-related fields, internal IDs, financial/transactional data, timestamps, internal flags).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects. All columns appear to be internal accounting/project codes, quantities, unit prices, and totals with no personal identifiable information (PII). No emails, phone numbers, names, addresses, dates of birth, SSNs, or other PII fields are present. Columns contain Korean text describing cost items, quantities, unit measurements, and monetary values. All columns are skipped as they contain only business/project data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and project deliverable data. The columns represent item descriptions, specifications, units, totals, material ratios, labor ratios, business ratios, and notes. There are no personal identifiable information (PII) fields present in the visible data. All columns appear to be related to engineering, architectural design, and construction cost estimates for public housing projects in Jeju, with no personal data such as names, addresses, emails, phone numbers, or other PII fields.

File structure

Notes: This is a technical specification file with internal variables and coefficients for construction cost calculations. It contains no personal or identifiable information. The format is tabular but all values are numeric constants, formulas, and metadata — no PII fields exist.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown report for construction materials and waste transport in Jeju public housing projects. Columns contain engineering codes, material codes, quantities, unit prices, and totals — all business/operational data. No personal identifiers or PII fields present. All columns map to skip per rules (company/project data, financials, internal codes).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects. All columns appear to represent internal project identifiers, material types, quantities, unit prices, and cost calculations. No personal identifiable information (PII) fields are present — all columns are business/project data, internal codes, and numerical values. Columns 10 and 14 contain what appear to be internal project reference codes (E00000602024000000 format) which are NOT user identifiers or PII. This aligns with the breach context of construction cost documents from DoAllTech.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown spreadsheet with no personal identifiable information. All columns contain technical construction data such as material quantities, cost calculations, and engineering formulas. No PII fields are present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns contain technical specifications, quantities, and calculations related to demolition work (e.g., '구조물깨기 수량산출' = demolition quantity calculation). There are no personal identifiers, contact details, or PII fields present. All columns represent engineering parameters, measurements, and formulas used in structural calculations.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains structured engineering/project deliverable data with no personal information. Columns contain technical specifications like material types, measurements, and quantities for construction projects. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data is a structured CSV containing construction cost breakdowns and material quantities for public housing projects in Jeju. There are no identifiable personal information fields (PII) such as names, email addresses, phone numbers, dates of birth, or addresses present in the sample. The columns contain technical specifications, measurements, and cost summaries related to demolition and construction activities. All columns are mapped as skip per exclusion rules since they contain only project-related data (material types, units, quantities, cost notes).

File structure

Notes: This is a free-form text file containing construction cost breakdowns and material quantities. It lacks any consistent delimiter or structured column layout. The content appears to be Korean construction data with measurements and calculations, not personal PII. No identifiable PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided rows are not structured data containing PII. They appear to be Korean text related to waste management and reporting, likely from a document or spreadsheet header/footers. There are no identifiable columns mapping to PII fields. The content is purely descriptive and administrative, focusing on waste disposal and quantity summary tables without any personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing waste management data for public housing construction in Jeju. The columns represent waste types (폐기물 운반, 폐기물 처리), material categories (아스콘류, 콘크리트류, 폐타일), units (m3, ton), and quantities. There are no personal identifiable information (PII) fields present in this dataset. All columns contain construction/project data and are marked as skip per exclusion rules.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing waste material quantity summaries for public housing construction projects in Jeju (삼도이동 공공주택). The data consists of construction-related metrics such as waste material types (아스콘류, 콘크리트류, 폐타일), units of measurement (m3, ton), and quantities. There are no personal identifiable information (PII) fields present in this dataset. The file appears to be an internal project deliverable related to construction cost breakdowns and waste management for public housing projects.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The columns are all related to engineering calculations (material quantities, dimensions, units, formulas) and contain no personal or identifiable information. No PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a Korean-language CSV containing construction cost breakdowns and waste material quantities for public housing projects in Jeju. The file contains no personal identifiable information (PII) — only technical specifications (waste types, units of measurement, quantities). All columns represent internal project data and construction metrics, not personal records. Therefore, no PII columns exist to map.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file but contains no PII fields. All columns appear to be engineering/construction data fields related to public housing projects in Jeju, with no personal information such as names, addresses, emails, or other identifiers. The columns contain technical specifications, measurements, and material types rather than any personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is not a PII dataset; it's a construction cost breakdown report for public housing projects in Jeju. Columns contain technical construction data (materials, units, quantities) and no personal identifiers. No email, phone, name, address, or other PII fields present.

File structure

Notes: This is a free-form construction cost breakdown table in Korean, not a structured dataset with personal information. It contains engineering measurements, material quantities, and tonnage calculations for demolition and construction materials (asphalt, concrete, tiles, etc.). No personal identifiers (PII) are present. The format is tabular but lacks consistent column headers or row structure suitable for PII mapping — it is purely technical data from construction project documents.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This file is a free-form construction cost and distance report with no identifiable PII fields. It contains only project names, distances, speed limits, and calculation results. No email, phone, name, address, or other PII fields are present. The data structure is tabular but lacks any personal information fields.

File structure

Notes: This is unstructured data representing construction materials and specifications. The file contains no consistent delimiter or column headers; instead, it displays material names, specifications, units, prices, and codes. There are no identifiable PII fields (email, phone, name, etc.) present in the sample. The content is purely technical and commercial, listing items like rebar, steel plates, oxygen tanks, and concrete piles with associated measurements and cost data.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV but contains no PII fields. Columns appear to represent job titles, labor categories, and numerical values (likely salaries or cost codes) with internal identifiers (L001010101000002 etc). No email, phone, name, address, DOB, SSN, or other PII fields are present. The data appears to be internal payroll or cost breakdown records for construction workers and technical staff.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data is a structured CSV file containing construction cost breakdowns and engineering project details. There are no personal identifiable information (PII) fields present. The columns contain project codes, item descriptions, units, quantities, unit prices, total costs, and reference codes. All values are numerical or descriptive related to construction materials and services, with no names, addresses, contact information, or other PII detectable in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured construction cost breakdown file with no personal identifiable information (PII). Columns contain project names, quantities, units, cost calculations, and engineering codes — all business/project data. No emails, phone numbers, names, addresses, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured technical specification table with engineering variables and numerical values. No PII fields are present. Columns contain internal engineering parameters (e.g., HPN3, NRL, RP) and numerical values with units/percentages. All columns are technical metrics or internal codes, none map to PII categories.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing construction cost data with material codes, specifications, and pricing information. No personal identifiable information (PII) is present in any column. All columns appear to be internal project identifiers, material specifications, and financial data related to construction costs. There are no email addresses, phone numbers, names, addresses, dates of birth, or other PII fields.

File structure

Notes: This is not a delimited PII file. The content appears to be structured engineering/cost data from construction project spreadsheets in Korean. Columns contain machine types, quantities, unit prices, and cost calculations. No personal identifiers (email, phone, name, etc.) are present. The format is a mix of free-form text and numeric data with no consistent delimiter pattern across rows, and no rows share the same field structure. This is construction cost data, not personal PII records.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction equipment and material cost data for public housing projects in Jeju. The columns represent equipment types, specifications, units, ratios, and cost figures. There are no personal identifiable information (PII) fields present in the visible data. All columns appear to be related to construction cost breakdowns, internal project codes, and equipment specifications, which fall under skip categories per exclusion rules.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains only internal construction cost calculation variables and exchange rate constants. No PII fields are present. All columns represent numeric coefficients, currency conversion factors, and formatting parameters used in engineering cost models for public housing projects in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and engineering specifications for public housing projects in Jeju. All columns contain technical and financial data related to materials, labor, and costs — no personal identifiable information (PII) such as names, addresses, emails, phone numbers, or dates of birth is present. All columns are skipped per exclusion rules (vehicle/product data, financial/transactional, internal flags, etc.).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a structured CSV file containing construction cost breakdowns and engineering data related to public housing projects in Jeju. All visible columns contain technical specifications, material quantities, cost calculations, and project metadata. No columns contain personal identifiable information (PII) such as names, addresses, emails, phone numbers, dates of birth, or other sensitive personal data. The data is purely technical and financial in nature, consistent with the described breach context of architectural design reports, structural calculations, and cost estimates.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction equipment cost breakdowns for public housing projects in Jeju. All columns appear to be technical/engineering data about machinery types, specifications, quantities, unit prices, material ratios, labor costs, total costs, and internal reference codes. No PII fields (names, emails, addresses, etc.) are present. Columns 10 and 14 contain internal project reference codes (E00000201002000000 format), which are skipped per exclusion rules for internal IDs.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and project deliverable data for public housing construction projects. All columns appear to be technical/engineering data fields (equipment codes, quantities, unit prices, totals) and internal identifiers (H01/H49 codes, L00101010100000 codes). No PII fields (names, emails, addresses, etc.) are present in any column based on headers and sample values. All columns map to skip categories per rules (company/project codes, financial/timestamps, internal IDs).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a structured CSV file with headers and columns, but all visible values are Korean text labels, empty strings, or project metadata (e.g., '삼도이동' meaning Samdoi-dong, a neighborhood in Jeju). No identifiable PII fields (emails, phone numbers, names, addresses, DOB, SSN, etc.) are present in the first 50 rows. Columns contain project identifiers, location names, and engineering report metadata typical of construction cost breakdowns, not personal data. No unstructured free-text with embedded PII is present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file appears to be a structured CSV with no identifiable PII columns in the first 50 rows. All visible columns contain only project-related metadata (years, locations, company names, construction types) and are empty or placeholder values. No emails, phone numbers, names, addresses, DOB, SSN, or other PII fields are present in these rows. Columns with Korean text indicate project details (e.g., '강차공사' = construction company, '곳공주택' = public housing). Per exclusion rules, company/business-related fields are skipped. No unstructured free-form text detected; this is a valid CSV structure with no PII columns in the sampled range.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a construction cost breakdown file with no PII fields. Columns represent construction item descriptions, quantities, unit prices, and total costs for public housing projects in Jeju. No personal identifiable information is present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The provided data appears to be a cost breakdown sheet for construction materials and labor. It contains no personal identifiable information (PII). All columns relate to construction cost calculations, unit measurements, and material/labor classifications. No email addresses, phone numbers, names, dates of birth, or other PII fields are present in the sample data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction cost breakdowns for public housing projects in Jeju, containing only project deliverable data (equipment names, specifications, distances, costs, etc.). No PII fields are present. All columns contain technical/engineering data about machinery, materials, labor, and cost calculations — no names, addresses, emails, or other personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV containing construction cost breakdown data with no personal identifiable information. All columns appear to be technical specifications and pricing data related to materials, units, and cost calculations for public housing projects. There are no PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown file for construction projects. All columns contain internal pricing, item descriptions, and cost categories (e.g., labor rates, material costs). No personal identifiable information (PII) is present — columns contain project codes, item names in Korean, units, unit prices, and cost totals. Per exclusion rules, all columns map to skip (company/business data, internal IDs, financial/transactional data, and timestamps).

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured cost breakdown table for construction materials and labor. Columns contain technical specifications, quantities, units, and cost calculations. No personal identifiable information (PII) fields are present. All columns represent project deliverable data (material names, dimensions, quantities, unit prices, total costs) and are classified as skip per exclusion rules.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a cost estimation sheet for construction projects, not a PII dataset. Columns contain only financial and project breakdown data (cost items, rates, calculations). No personal identifiers present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown spreadsheet for public housing projects in Jeju. All columns contain technical specifications (item codes, descriptions, units, costs) and financial aggregates. No personal identifiable information (PII) such as names, emails, phone numbers, addresses, dates of birth, or SSNs is present. Columns map to internal project identifiers, material types, cost categories, and numerical values — all skip per rules.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file appears to be a structured construction cost breakdown table in Korean. It contains project codes, work categories, specifications, quantities, unit costs, labor costs, business costs, total costs, and remarks. There are no personal identifiable information (PII) fields present in this dataset. All columns contain project-related financial and operational data, which are excluded per the rules. Therefore, no columns map to PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost calculation table in Korean for construction materials and labor. Columns contain numerical values for unit prices, material costs, labor costs, and totals. No PII fields (email, phone, name, address, etc.) are present. All columns represent financial/quantitative data related to construction cost breakdowns, which are skipped per rules. The file appears to be purely transactional/financial data without personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured cost breakdown table for construction equipment (excavators) in Korean, containing only numerical project data and item descriptions. No PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a structured cost breakdown table for construction materials and labor in Korean (Hangul). All columns contain technical specifications, quantities, unit costs, and totals — no personal identifiable information (PII) is present. Columns map to construction project line items (e.g., item descriptions, specifications, units, material costs, labor costs, total costs). No emails, phone numbers, names, addresses, or other PII fields are detectable.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is not a PII dataset. The file contains technical cost breakdown data for construction materials and equipment in South Korean engineering projects. All columns represent internal cost metrics, currency conversion rates, and material specifications — no personal information present. Columns include machinery cost criteria, exchange rates, unit prices, material types (e.g., 경유 = kerosene), and specifications. This aligns with the breach context of DoAllTech's construction cost estimates and engineering reports for public housing projects in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file, but the data appears to be engineering/architectural project documentation for public housing construction in Jeju (삼도이동 공공주택). The columns contain technical measurements, distances, and project codes rather than any personal identifiable information (PII). There are no columns mapping to email, phone, name, address, DOB, SSN, etc. All visible data is project-related metrics (distances in km, speed in km/hr, calculation results in minutes). No PII fields are present in the first 50 rows.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains Korean construction project data with no personal identifiable information (PII). Columns represent engineering specifications, measurements, and structural calculations for public housing projects in Jeju. No email addresses, phone numbers, names, or other PII fields are present. All columns map to construction terminology and numeric measurements.

File structure

Notes: This is an unstructured dataset containing Korean engineering/architectural project data. No consistent column structure or delimiter is present across rows. The sample shows free-form technical specifications with no identifiable personal PII fields. The content appears to be construction cost breakdowns and test specifications for public housing projects in Jeju, not personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to represent engineering calculations, material quantities, and unit measurements. There are no personal identifiers (PII) present in any of the columns. The data is purely technical and relates to quantities of materials (steel, cement, sand), transportation distances, and unit costs in Korean units (ton, M3, etc.). No names, addresses, emails, phone numbers, or other PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains construction cost breakdowns and material specifications for public housing projects. All columns contain technical specifications, material types, quantities, and measurements. No personal identifiable information (PII) fields are present. The data is purely structural/engineering data with no names, addresses, emails, phone numbers, or other PII.

File structure

Notes: This appears to be engineering/construction data from DoAllTech's public housing projects in Jeju, not a PII breach. The columns contain technical specifications (e.g., '지반천공' = ground boring, '지중경사계' = inclinometer, measurement units like 'm' and 'EA'). No personal identifiers are present in this sample.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The columns appear to be in Korean and contain technical engineering/construction data (e.g., '가시설 집계표' meaning 'Facility Summary Table', '공 종' meaning 'Work Type', unit measurements, quantities, and notes). There are no personal identifiable information (PII) fields present — all columns map to construction cost data, project types, units, quantities, and technical specifications. No emails, phone numbers, names, addresses, DOB, SSN, or other PII fields are detectable. All columns are skipped per exclusion rules (vehicle/product data, financial/transactional data, internal project codes).

File structure

Notes: This is a Korean-language construction cost breakdown report with no identifiable personal information. The file contains material summaries (steel, cement, sand), units (ton, M3), quantities, and reference errors. No structured personal data fields (names, emails, addresses, etc.) exist in the sample rows. All columns appear to be internal project data or material accounting values.

File structure

Notes: This is a free-form Korean construction cost breakdown document with no consistent columnar structure. The text appears to be a header or title block for a quantity summary table (총괄수량집계표) showing various construction work categories (토공, 배수공, 상수도공, 포장공) and sub-items. There are no delimited rows with repeating patterns or identifiable PII fields. The content is purely technical/project management data about civil engineering quantities.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing construction material summary data for public housing projects in Jeju. The columns represent material types, specifications, units, quantities, and cost calculations. There are no personal identifiable information (PII) fields present in this dataset. All columns contain technical construction data, material specifications, and cost breakdowns.

File structure

Notes: free-form text with embedded emails / phones

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured table of construction quantity calculations for safety facility installations, containing only technical data and measurements. No personal identifiable information (PII) fields are present. All columns contain engineering metrics, units, and descriptions of installation work — no names, addresses, contact details, or other PII.

File structure

Notes: This is a free-form text document with no consistent columnar structure. The lines appear to be Korean construction/project documentation headers and table titles rather than tabular data with PII. No identifiable personal information columns are present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file contains Korean-language construction cost and material breakdown data. Columns are in Korean and contain technical engineering/project management data (material types, quantities, unit prices, totals). No personal identifiable information (PII) fields such as names, emails, addresses, etc. are present. All columns map to construction/project data and therefore should be skipped per exclusion rules.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to contain technical specifications, measurements, and calculations related to construction materials and quantities. There are no personal identifiable information (PII) fields present in any of the columns. The data consists of engineering terminology, measurements, and calculations rather than any personal data.

File structure

Notes: This is a structured table of construction cost breakdowns (토공내역서 적용수량) with no personal identifiable information. The data contains engineering specifications, quantities, and unit prices for demolition, waste loading, earth moving, excavation, backfilling, and transportation. There are no columns mapping to PII fields such as email, phone, name, address, etc. The format appears to be a Korean construction cost sheet with headers in both Korean and English, and numerical data representing material quantities and pricing.

File structure

Notes: The provided text is a free-form table detailing construction cost breakdowns and material quantities for demolition work in a public housing project. It contains no structured columns with personal identifiable information (PII). The content consists of engineering/architectural data (material types, measurements, calculations) and does not include any fields mapping to email, phone, name, address, DOB, SSN, etc. This is a technical specification document, not a dataset containing personal records.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured construction cost breakdown file with technical engineering data. Columns contain project codes, material specifications, measurements, quantities, and units. No personal identifiable information (PII) is present. All columns represent technical or operational data related to public housing construction projects in Jeju, with no names, addresses, emails, or other PII fields.

File structure

Notes: This is a free-form construction cost breakdown document in Korean. The data appears to be structured as a table with columns for work categories, units, quantities, and notes, but there is no consistent delimiter across lines and the format varies significantly. There are no identifiable PII fields in the visible data. The content consists of construction work items (e.g., '아스콘포장 절단' - asphalt cutting) and quantities rather than personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV containing construction cost breakdowns and material quantities for public housing projects in Jeju. The data consists of engineering specifications, measurements (m2, m3), and material types (토 사, 연 암, 보통암, etc.). There are no personal identifiable information (PII) fields present. All columns contain technical/project data related to civil engineering calculations, not personal data. The file is a standard construction quantity take-off table (토공량 집계표) with no names, addresses, emails, or other PII.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: This is a structured CSV file containing engineering/architectural calculation data for construction projects. All columns appear to represent technical measurements, quantities, and material types related to earthwork, excavation, and construction activities. There are no personal identifiers, email addresses, phone numbers, or any other PII fields present in the first 50 rows. The data is purely technical and numerical, with no personal or contact information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is not structured PII data. The file appears to be a construction cost breakdown report with Korean headers and numeric values representing volumes and quantities (e.g., 토 공 for earthwork, 배수공 for drainage work). There are no personal identifiers, email addresses, phone numbers, or any fields that map to PII categories. The data is purely technical/engineering-related and contains no personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing engineering/architectural calculations for public housing construction in Jeju. All columns appear to be technical measurements and calculations (e.g., pipe quantities, depth measurements) with no personal or identifiable information. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with purely technical/engineering data (pipe quantities, height calculations, unit measurements). No personal or identifiable information present. All columns contain numeric measurements, unit labels, or calculation markers — none map to PII fields.

File structure

Notes: The provided rows appear to be free-form Korean text with no consistent delimiter or structured column pattern. The data seems to be part of a construction cost or quantity take-off table (수 량 집 계 표) with architectural/engineering terminology. Since there is no consistent delimiter and the rows have wildly varying content and lengths, this qualifies as unstructured text per the opt-out rules. No column mapping is performed.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and engineering specifications for public housing projects in Jeju. All visible columns contain technical specifications, material types, quantities, and units. No personal identifiable information (PII) fields such as names, addresses, emails, phone numbers, or dates of birth are present. The data is purely technical and project-related, consisting of engineering and construction metrics.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file appears to be a structured technical specification or construction report in Korean. All visible columns contain engineering measurements, specifications, and identifiers (e.g., manhole locations, depths, concrete dimensions). There are no personal identifiers, contact information, or PII fields present. Columns are primarily numeric measurements (depths, dimensions) or technical codes, consistent with construction documentation rather than personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. This appears to be a structured engineering/cost calculation table with numerical values and unit measurements (m). All columns contain technical data (quantities, heights, units) and no personal identifiers. The Korean text headers and values indicate construction cost breakdowns for public housing projects in Jeju, consistent with the breach description of DoAllTech's architectural/engineering deliverables.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured construction cost breakdown file in Korean (한국어). Columns contain engineering metrics (e.g., '곳수발이 수량집계') and material classifications ('토곳 집계', '터 파 기'). No personal identifiers (PII) such as names, emails, or addresses are present. All columns represent technical specifications and quantities for public housing construction projects in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to be technical specifications and quantities related to civil engineering work (e.g., "빗물받이 수량집계" meaning rainwater drainage quantity summary, "토공 집계" meaning earthwork summary). No personal identifiable information (PII) fields are present. All columns contain project-related metrics, material specifications, and calculations rather than any personal data such as names, addresses, or contact information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file is a technical construction cost breakdown report for public housing in Jeju, containing only engineering specifications and measurements. No personal or identifiable information is present in any column. All columns represent structural measurements, test counts, or material specifications (e.g., pipe diameters, lengths, test frequencies). No PII fields such as names, addresses, emails, or phone numbers appear in the header or sample values.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects in Jeju. The data appears to be in Korean and consists of engineering specifications, quantities, and calculations. There are no personal identifiable information (PII) fields present in any of the columns. All columns contain technical and project-related data such as material types, specifications, units, quantities, and cost calculations.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file contains structured engineering/project deliverable data in Korean, with no personal identifiable information (PII) fields present. Columns describe construction cost breakdowns, material specifications, and quantity summaries for public housing projects. All columns map to project data and technical specifications, with no PII such as names, addresses, emails, or phone numbers.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The file contains technical engineering data and quantities for various construction activities (터파기, 되메우기, 잔토처리, 원심력사각수로관). All columns contain project-specific technical data and numerical quantities, with no personal identifiable information (PII) fields present. Column indices 0-16 all map to technical specifications, material types, calculation formulas, and quantity values — none correspond to email, phone, name, address, DOB, SSN, or other PII categories.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects. All columns appear to contain internal project codes, material types, unit measurements, and quantities — no personal identifiers or PII fields are present. All columns map to skip categories (project data, internal codes, measurements).

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects. All columns contain technical specifications, quantities, and material measurements. No PII fields (names, addresses, emails, etc.) are present. The data is strictly engineering and project management related (e.g., concrete volumes, formwork dimensions, steel grating specifications). All columns map to skip due to being internal project data, technical measurements, or material codes.

File structure

Notes: This is unstructured construction cost data with no PII. Columns contain engineering specifications (pipe types, lengths, depths, counts), not personal information. No emails, phone numbers, or personal names visible in the sample.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file contains construction cost breakdowns and engineering calculations with no personal or identifiable information. All columns are technical measurements, calculations, or empty cells. No PII fields are present.

File structure

Format: CSV·Delimiter: Comma·Has header: no·Quote: "

Notes: The provided data appears to be structured but contains only construction cost and material specification data. Columns appear to be in Korean and represent engineering/construction metrics (e.g., quantities, types of work, measurements). No personal identifiable information (PII) fields such as names, addresses, emails, phone numbers, dates of birth, or social security numbers are present. All columns relate to project deliverables and cost breakdowns for public housing construction in Jeju, consistent with the breach context of DoAllTech's architectural and engineering documents. Therefore, no PII columns to map.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown report for public housing in Jeju. All columns contain technical engineering and cost data (pipe quantities, unit counts, volumes, totals) in Korean. No personal identifiable information (PII) is present — all values are numeric measurements, material types, and project totals. Columns with empty headers are continuation rows for the Korean descriptions. No emails, names, addresses, or other PII fields exist in this structured dataset.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. The columns appear to be technical specifications and calculations related to sewer reception units, turfing, backfilling, and soil treatment. There are no personal identifiable information (PII) fields present in the first 50 rows. All columns contain engineering specifications, unit quantities, and calculation formulas rather than any personal data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: No PII columns detected. All columns contain engineering/construction data such as unit quantities, depth measurements, and unit symbols. No personal information such as names, emails, or addresses is present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing technical specifications for drainage pipes and construction calculations. All columns contain numerical values, unit measurements, and engineering formulas — no personal or identifiable information is present. All columns map to skip categories (technical specifications, calculations, units). No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and engineering calculations for public housing projects in Jeju. All columns appear to be technical/quantitative data fields related to architectural/engineering deliverables (e.g., pipe quantities, depth measurements, structural calculations). No personal or identifiable information (PII) is present in any of the columns. All values are numeric measurements, unit labels, or calculation expressions.

File structure

Notes: This is a free-form text document (Korean construction cost report) with no consistent delimiter structure. The lines show headerless tabular data fragments with Korean text, but there is no repeating columnar pattern across rows — each line has different content/structure. While it contains embedded numbers and text, it lacks the consistent field positions required for CSV parsing. The sample shows fragmented headers like 'Ⅲ. 상 수 도 공' and '수 량 집 계 표', but no repeated structure across lines.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The file appears to be a construction cost breakdown or engineering report for public housing in Jeju. All columns contain technical data (types of work, specifications, units, quantities, lengths, volumes) and no personal identifiable information (PII). There are no email addresses, phone numbers, names, addresses, dates of birth, SSNs, passwords, usernames, or other PII fields. The data is strictly project-related engineering and cost data.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown report for public housing projects in Jeju. All columns appear to be internal project identifiers, item descriptions, and quantity totals. No personal identifiable information (PII) is present. Columns contain technical specifications like '이형관접합 수량집계' (composite joint quantity summary), item codes, unit measurements, and aggregated counts — all internal business data with no personal data.

File structure

Notes: This is a free-form Korean construction cost breakdown table with no consistent column structure or personal data. The file contains technical specifications for public housing construction in Jeju, including material quantities, units, and calculations. No PII fields are present.

File structure

Notes: This is a free-form document containing Korean construction project data in unstructured text format. The lines show architectural design report headings and categories rather than structured tabular data with identifiable PII columns. No consistent delimiter or column structure exists across rows, and the content appears to be project documentation rather than personal records.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal identifiable information. Columns contain technical specifications, measurements, and cost aggregates for public housing construction projects. No PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured technical cost breakdown file for public housing construction in Jeju (Jeju Special Self-Governing Province, South Korea). The data contains engineering parameters, measurements, and construction specifications for retaining walls (돌담쌓기) and rock utilization. No personal identifiable information (PII) is present; all columns relate to construction quantities, dimensions, and material specifications. The file is purely technical and contains no names, addresses, emails, or other PII fields.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns and project deliverable data for public housing in Jeju. There are no personal identifiable information (PII) fields present. The file contains only technical specifications, material quantities, and cost aggregates related to road marking, parking blocks, and other construction elements. All columns are technical/project data and do not contain any PII fields such as names, addresses, emails, phone numbers, etc.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains structured construction cost breakdown data for public housing projects in Jeju (Jeju Island, South Korea). All columns represent technical specifications and measurements (e.g., lane removal, coloring positions, lengths, units, areas). No PII fields (emails, phone numbers, names, addresses, etc.) are present. The data is purely engineering/architectural and contains no personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file, but all columns appear to contain construction-related technical specifications (parking indicators, dimensions, CAD calculations, quantities). No PII fields are present. Columns contain engineering data such as parking type labels, dimensions, calculation markers, and quantity counts. All values are technical descriptors or numerical counts rather than personal information.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects. All columns contain technical specifications, measurements, and material quantities. There are no personal identifiable information (PII) fields present in the first 50 rows. The data is purely technical and relates to architectural design reports, structural calculations, and cost estimates.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains no personal identifiable information (PII). All columns appear to be technical construction data fields related to architectural/engineering deliverables: material types (아스콘포장 단위수량), specifications (규격), sources/distances (산출 근거), thickness/width/height dimensions (도 로 포 장), and quantities (수 량). No names, addresses, emails, phone numbers, dates of birth, or other PII fields are present. The data appears to be structured engineering specifications for public housing construction projects in Jeju.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdown data for public housing projects in Jeju. All columns appear to contain technical engineering specifications (material types, dimensions, quantities, units) with no personal identifiable information (PII). No columns map to any PII fields (email, phone, name, address, etc.). The data is purely technical and project-related, consistent with the breach context of architectural design reports and construction cost estimates.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: The provided data is a structured CSV file containing construction cost breakdowns and material specifications for public housing projects. The file consists of technical and numerical data related to engineering/architectural design, such as material types, dimensions, unit prices, and quantities. There are no personal identifiable information (PII) fields present in the visible columns. All columns appear to represent construction-related data, such as material types, dimensions, unit prices, and quantities, which fall under non-PII categories per the exclusion rules. Therefore, no PII columns are mapped.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects. All columns appear to be technical specifications and measurements (e.g., block types, thicknesses, distances, quantities) with no personal or identifiable information. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file appears to be a structured construction cost breakdown document in Korean, containing only technical specifications and quantities for construction materials. There are no identifiable personal information fields (PII) such as names, addresses, emails, or phone numbers. All columns contain material descriptions, measurements, and quantities related to construction cost estimates for public housing projects.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with Korean headers and numerical values. Columns contain engineering specifications (material types, dimensions, quantities, units), not personal identifiable information. No PII fields detected.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This appears to be a construction cost breakdown file for a public housing project in Jeju. All columns contain technical engineering data (types of wall construction, dimensions, units, quantities) and numerical calculations. No personal identifiable information (PII) fields such as names, addresses, emails, phone numbers, or dates of birth are present. All columns are mapped as skip per exclusion rules for vehicle/product data, financial/transactional data, and internal project metrics.

File structure

Notes: This is a free-form technical specification table for construction materials (asphalt paving quantities, types, specifications). No personal identifiers present. The structure is tabular but contains only construction data — not PII. No email/phone visible. No column mapping possible.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This file contains construction cost breakdowns for public housing projects in Jeju. All columns appear to be technical specifications and quantities for building materials (e.g., boundary stones dimensions and unit quantities). No PII fields such as names, emails, addresses, or other personal data are present. All columns are related to engineering/architectural project data and therefore skipped.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file with no personal or identifiable information. All columns contain engineering specifications (material types, dimensions, quantities, units) and financial aggregates. No PII fields present.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a construction cost breakdown file (DoAllTech breach) with no personal identifiable information. Columns contain technical specifications, material types, dimensions, and quantities for structural calculations. All values are engineering/design data (e.g., "1. 콘크리트", "25-18-80", "0.12"). No PII fields detected.

File structure

Notes: This is not a delimited PII file. The data appears to be construction material specifications and quantities for public housing projects in Jeju. Columns contain technical descriptions (e.g., "L형 난간 기초"), measurements, and unit types — no personal identifiers. This matches the breach context of architectural/engineering deliverables rather than user data.

File structure

Notes: This is a free-form text document with no consistent columnar structure. The lines contain Korean construction cost breakdown headers and numbering, not structured tabular data. No PII columns exist.

File structure

Format: CSV·Delimiter: Comma·Has header: yes·Quote: "

Notes: This is a structured CSV file containing construction cost breakdowns for public housing projects in Jeju. The columns are in Korean and represent material transport, installation, and facility costs. There are no personal identifiable information (PII) fields present in the first 50 rows. All columns appear to be related to project specifications, quantities, and notes — no names, addresses, emails, phone numbers, or other PII. Therefore, no columns map to PII fields.

File structure

Notes: The provided content is unstructured error log output, not a delimited data file with columns. It contains no consistent row structure or PII fields. The error messages relate to cache path creation issues and do not contain any personal information.

File structure

Notes: The provided sample is not structured data; it consists of error log lines from a browser application (Adobe Acrobat). These are system logs, not tabular data containing PII. There is no consistent delimiter or column structure, and the content is purely technical errors about cache paths. No PII fields are present.

File structure

Notes: The sample contains only error log lines from a browser cache system, not structured data or PII. There are no CSV or tabular patterns, and the content is purely technical logs about cache_path failures. No columns to map.