README.md

metadata

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}}