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---
pretty_name: UK Legislation
tags:
- uk
- law
- legislation
license: other
language: en
annotations_creators:
- no-annotation
language_creators:
- found
size_categories:
- 100K<n<1M
task_categories:
- text-generation
source_datasets:
- original
---
# UK Legislation Dataset
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.
## Repository Layout
- `data/train.jsonl` – full corpus of 175,515 documents ready for `load_dataset`.
- `meta/` – auxiliary files that describe the scrape workflow and provenance.
- `dataset_config.json` – declarative configuration that mirrors the `load_dataset` arguments used during training.
## Data Fields
Every record is a JSON object with the following keys:
- `id` (`string`): canonical legislation identifier, e.g. `ukpga_2025_23`.
- `title` (`string`): preferred title.
- `type` (`string`): legislation class (`ukpga`, `uksi`, etc.).
- `year` (`int`): legislation year.
- `number` (`int`): act or statutory instrument number within the year.
- `text_content` (`string`): consolidated plain-text content.
- `xml_content` (`string`): raw XML body as served by legislation.gov.uk.
- `publication_date`, `enacted_date`, `coming_into_force_date` (`string`): ISO dates when known.
- `extent` (`array[string]`): geographic extent codes.
- `status` (`string`): legislation status (`In Force`, `Prospective`, etc.).
- `sections` (`array[object]`): ordered section data with `id`, `number`, `title`, `content` fields per section.
- `metadata` (`object`): scraped metadata such as `classification` and `title`.
- `url` (`string`): source URL.
- `checksum` (`string`): SHA1 checksum of the XML payload.
## Loading With `datasets`
```python
from datasets import load_dataset
dataset = load_dataset(
"json",
data_files={"train": "data/train.jsonl"},
features={
"id": "string",
"title": "string",
"type": "string",
"year": "int32",
"number": "int32",
"text_content": "string",
"xml_content": "string",
"publication_date": "string",
"enacted_date": "string",
"coming_into_force_date": "string",
"extent": ["string"],
"status": "string",
"sections": [{
"id": "string",
"number": "string",
"title": "string",
"content": "string",
}],
"metadata": {
"classification": "string",
"title": "string",
},
"url": "string",
"checksum": "string",
},
)
```
You can further split the dataset with the usual `train_test_split` utilities or by sharding `train.jsonl` into additional files.
## Provenance & Licensing
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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