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--- |
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pretty_name: UK Legislation |
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tags: |
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- uk |
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- law |
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- legislation |
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license: other |
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language: en |
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annotations_creators: |
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- no-annotation |
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language_creators: |
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- found |
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size_categories: |
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- 100K<n<1M |
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task_categories: |
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- text-generation |
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source_datasets: |
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- original |
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--- |
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# UK Legislation Dataset |
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This directory packages scraped UK legislation into a layout that can be ingested directly with the Hugging Face `datasets` library. All documents live in JSON Lines format inside `data/` with one piece of legislation per line. The schema captures both plain-text and XML renderings, along with document-level metadata and section breakdowns. |
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## Repository Layout |
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- `data/train.jsonl` – full corpus of 175,515 documents ready for `load_dataset`. |
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- `meta/` – auxiliary files that describe the scrape workflow and provenance. |
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- `dataset_config.json` – declarative configuration that mirrors the `load_dataset` arguments used during training. |
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## Data Fields |
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Every record is a JSON object with the following keys: |
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- `id` (`string`): canonical legislation identifier, e.g. `ukpga_2025_23`. |
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- `title` (`string`): preferred title. |
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- `type` (`string`): legislation class (`ukpga`, `uksi`, etc.). |
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- `year` (`int`): legislation year. |
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- `number` (`int`): act or statutory instrument number within the year. |
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- `text_content` (`string`): consolidated plain-text content. |
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- `xml_content` (`string`): raw XML body as served by legislation.gov.uk. |
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- `publication_date`, `enacted_date`, `coming_into_force_date` (`string`): ISO dates when known. |
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- `extent` (`array[string]`): geographic extent codes. |
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- `status` (`string`): legislation status (`In Force`, `Prospective`, etc.). |
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- `sections` (`array[object]`): ordered section data with `id`, `number`, `title`, `content` fields per section. |
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- `metadata` (`object`): scraped metadata such as `classification` and `title`. |
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- `url` (`string`): source URL. |
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- `checksum` (`string`): SHA1 checksum of the XML payload. |
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## Loading With `datasets` |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset( |
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"json", |
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data_files={"train": "data/train.jsonl"}, |
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features={ |
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"id": "string", |
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"title": "string", |
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"type": "string", |
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"year": "int32", |
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"number": "int32", |
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"text_content": "string", |
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"xml_content": "string", |
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"publication_date": "string", |
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"enacted_date": "string", |
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"coming_into_force_date": "string", |
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"extent": ["string"], |
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"status": "string", |
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"sections": [{ |
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"id": "string", |
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"number": "string", |
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"title": "string", |
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"content": "string", |
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}], |
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"metadata": { |
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"classification": "string", |
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"title": "string", |
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}, |
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"url": "string", |
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"checksum": "string", |
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}, |
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) |
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``` |
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You can further split the dataset with the usual `train_test_split` utilities or by sharding `train.jsonl` into additional files. |
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## Provenance & Licensing |
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The dataset originates from legislation.gov.uk. Legislative content is generally covered by the UK Open Government Licence v3.0, but confirm applicability to your downstream use-case. |
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