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Upload folder using huggingface_hub

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.gitattributes CHANGED
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ data/train.jsonl filter=lfs diff=lfs merge=lfs -text
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+ meta/discovery_cache/discovered_documents_20250928_195619.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,71 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # UK Legislation Dataset
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+
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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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+
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+ ## Repository Layout
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+
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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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+
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+ ## Data Fields
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+
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+ Every record is a JSON object with the following keys:
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+
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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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+
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+ ## Loading With `datasets`
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+
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+ ```python
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+ from datasets import load_dataset
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+
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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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+
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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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+
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+ ## Provenance & Licensing
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+
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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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dataset_config.json ADDED
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+ {
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+ "dataset_type": "json",
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+ "data_files": {
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+ "train": "data/train.jsonl"
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+ },
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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": [
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+ "string"
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+ ],
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+ "status": "string",
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+ "sections": [
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+ {
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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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+ "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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meta/phase_status.json ADDED
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+ {
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+ "completed_phases": [
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+ "discovery",
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+ "scraping"
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+ ],
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+ "last_updated": "2025-09-28T19:56:21.226744"
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+ }