| --- |
| license: cc-by-4.0 |
| pretty_name: HETUS Harmonized Time Use (Eurostat TSV + ESMS metadata) |
| task_categories: |
| - tabular-classification |
| - text-classification |
| language: |
| - en |
| dataset_info: |
| - config_name: files |
| features: |
| - name: wave |
| dtype: string |
| - name: dataset_id |
| dtype: string |
| - name: source_file |
| dtype: string |
| - name: metadata_file |
| dtype: string |
| - name: rows_wide |
| dtype: string |
| - name: rows_long |
| dtype: string |
| - name: rows_expected_long |
| dtype: string |
| - name: lossless_validated |
| dtype: string |
| - name: dimensions |
| dtype: string |
| - name: time_periods_raw |
| dtype: string |
| - name: time_periods |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 8186 |
| num_examples: 39 |
| download_size: 7294 |
| dataset_size: 8186 |
| - config_name: metadata |
| features: |
| - name: wave |
| dtype: string |
| - name: metadata_file |
| dtype: string |
| - name: prepared_at |
| dtype: string |
| - name: metadata_set_id |
| dtype: string |
| - name: attribute_id |
| dtype: string |
| - name: attribute_path |
| dtype: string |
| - name: value_html |
| dtype: string |
| - name: value_text |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 94561 |
| num_examples: 150 |
| download_size: 34933 |
| dataset_size: 94561 |
| - config_name: observations |
| features: |
| - name: dataset_id |
| dtype: string |
| - name: wave |
| dtype: string |
| - name: source_file |
| dtype: string |
| - name: metadata_file |
| dtype: string |
| - name: source_row_index |
| dtype: string |
| - name: source_key_raw |
| dtype: string |
| - name: dimension_order_raw |
| dtype: string |
| - name: dimension_order |
| dtype: string |
| - name: time_period_raw |
| dtype: string |
| - name: time_period |
| dtype: string |
| - name: time_period_year |
| dtype: string |
| - name: observation_cell_raw |
| dtype: string |
| - name: observation_raw |
| dtype: string |
| - name: observation |
| dtype: string |
| - name: observation_value |
| dtype: string |
| - name: duration_minutes |
| dtype: string |
| - name: status_flag |
| dtype: string |
| - name: is_missing |
| dtype: string |
| - name: acl00 |
| dtype: string |
| - name: acl18 |
| dtype: string |
| - name: age |
| dtype: string |
| - name: daysweek |
| dtype: string |
| - name: freq |
| dtype: string |
| - name: geo |
| dtype: string |
| - name: hhcomp |
| dtype: string |
| - name: hhstatus |
| dtype: string |
| - name: isced11 |
| dtype: string |
| - name: isced97 |
| dtype: string |
| - name: month |
| dtype: string |
| - name: sex |
| dtype: string |
| - name: startime |
| dtype: string |
| - name: tra_mode |
| dtype: string |
| - name: unit |
| dtype: string |
| - name: wstatus |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 636505250 |
| num_examples: 1680915 |
| download_size: 25062037 |
| dataset_size: 636505250 |
| configs: |
| - config_name: files |
| data_files: |
| - split: train |
| path: files/train-* |
| - config_name: metadata |
| data_files: |
| - split: train |
| path: metadata/train-* |
| - config_name: observations |
| data_files: |
| - split: train |
| path: observations/train-* |
| tags: |
| - sociology |
| - time-use |
| - europe |
| - EU |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Dataset Card: HETUS Time Use (Converted from Eurostat TSV) |
|
|
| ## Dataset Summary |
|
|
| This dataset contains normalized tabular observations converted from Eurostat HETUS TSV files, plus flattened SDMX ESMS metadata. |
|
|
| The conversion is performed by `db-hf-normalization.py` and preserves raw TSV tokens to prevent information loss during normalization. |
|
|
| ## Source Data |
|
|
| - Original source: Eurostat HETUS database exports (TSV + SDMX XML metadata) |
| - Local source folder: `hetus/` |
| - Waves currently included: `2000_2010`, `2020` |
|
|
| ## Conversion Method |
|
|
| The converter: |
|
|
| 1. Reads TSV files as tab-separated raw text (no NA auto-coercion). |
| 2. Expands packed dimension keys from the first column. |
| 3. Melts year/time columns into long format. |
| 4. Preserves exact raw source tokens for auditability: |
| - `source_key_raw` |
| - `time_period_raw` |
| - `observation_cell_raw` |
| 5. Creates normalized fields for analysis: |
| - `time_period`, `time_period_year` |
| - `observation`, `observation_value`, `duration_minutes`, `status_flag` |
| 6. Validates strict lossless mapping per file (1:1 source cell preservation). |
|
|
| ## Splits |
|
|
| ### `observations` |
|
|
| Long-format observations. |
|
|
| Core provenance fields: |
|
|
| - `dataset_id` |
| - `wave` |
| - `source_file` |
| - `metadata_file` |
| - `source_row_index` |
| - `source_key_raw` |
| - `time_period_raw` |
| - `observation_cell_raw` |
|
|
| Normalized fields: |
|
|
| - `time_period` |
| - `time_period_year` |
| - `observation_raw` |
| - `observation` |
| - `observation_value` |
| - `duration_minutes` |
| - `status_flag` |
| - `is_missing` |
|
|
| Dimension fields (vary by source table, unioned into one schema): |
|
|
| - Examples: `freq`, `unit`, `sex`, `age`, `geo`, `acl00`, `acl18`, ... |
|
|
| ### `files` |
|
|
| Per-source-file conversion and validation report: |
|
|
| - `rows_wide` |
| - `rows_long` |
| - `rows_expected_long` |
| - `lossless_validated` |
| - dimensions/time-period summaries |
|
|
| ### `metadata` |
|
|
| Flattened SDMX ESMS metadata attributes with: |
|
|
| - attribute id/path |
| - HTML value (`value_html`) |
| - plain-text value (`value_text`) |
|
|
| ## Data Loss / Integrity Statement |
|
|
| For each TSV file, conversion enforces: |
|
|
| - Exact row cardinality: `rows_long == rows_wide * number_of_time_period_columns` |
| - Exact cell-level preservation of raw source tuples: |
| `(source_row_index, source_key_raw, time_period_raw, observation_cell_raw)` |
|
|
| If any mismatch is detected, conversion fails for that file. |
|
|
| ## Known Caveats |
|
|
| - The first TSV column stores packed dimensions separated by commas. The converter keeps both: |
| - raw packed key (`source_key_raw`) |
| - expanded normalized dimensions |
| - Whitespace around values may be normalized in analytical columns, but the raw fields remain preserved. |
|
|
| ## Intended Uses |
|
|
| - Comparative time-use analysis across countries, years, demographic strata, and activity codes. |
| - Reproducible ETL pipelines where raw-source lineage is required. |
|
|
| ## Out-of-Scope Uses |
|
|
| - Any individual-level inference (dataset is aggregate tabular statistics). |
|
|
| ## Citation |
|
|
| Please cite Eurostat HETUS and include repository/version information for this converted dataset. |
|
|
| ## Dataset Version |
|
|
| - Converter script: `db-hf-normalization.py` |
| - Conversion date: {{YYYY-MM-DD}} |
| - Repository commit: {{GIT_COMMIT_SHA}} |
