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metadata
license: mit
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
dataset_info:
  features:
    - name: id
      dtype: string
    - name: url
      dtype: string
    - name: year
      dtype: int64
    - name: keywords
      list: string
    - name: source
      dtype: string
    - name: text
      dtype: string
    - name: doc_id
      dtype: string
    - name: chunk_num
      dtype: int64
  splits:
    - name: train
      num_bytes: 66844346
      num_examples: 15011
  download_size: 30128380
  dataset_size: 66844346
task_categories:
  - question-answering
language:
  - en
tags:
  - sustainability
  - policy-making

Sustainability PolicyMaking Dataset

Description

This is a corpus dataset consisting of sustainability related documents and academic papers with a focus on UK and EU policy making. Each document is further split into chunks ranging from approximately 500-1000 words each, to help with processing and to enable QA tasks.

Dataset Summary

  • Total Items: 15,011
  • Average Chunk Length: 553 words
  • Median Chunk Length: 539 words
  • Year Range:2000-2025
  • Sources: ['cdn.climatepolicyradar.org', 'eur-lex.europa.eu', 'gov.uk', 'arxiv.org', 'parliament.uk', 'civitas.eu', 'gov.uk', 'HF-national-climate-targets-dataset', 'GOV.UK Environment Agency', 'odyssee-mure.eu', 'assets.publishing.service.gov.uk', 'ArXiv', 'ec.europa.eu', 'unfccc.int', 'ecolex.org', 'legislation.gov.uk', 'gov.scot', 'register.consilium.europa.eu', 'iea.org', 'aei.pitt.edu', 'itf-oecd.org', 'europarl.europa.eu', 'projects.mcrit.com', 'bgs.ac.uk', 'web.archive.org', 'climate-laws.org', 'nan', 'legislation.gov.uk', 'fca.org.uk', 'transportenvironment.org', 'environment.ec.europa.eu', 'climate.ec.europa.eu', 'None', 'hy4heat.info', 'gov.scot', 'energy.ec.europa.eu', 'cbd.int', 'ofgem.gov.uk', 'fleetnews.co.uk', 'ogauthority.co.uk', 'drivingelectric.com', 'tfl.gov.uk', 'gov.wales', 'goultralow.com', 'pod-point.com', 'bills.parliament.uk', 'ukpact.co.uk']

Data Fields

Each corpora item contains the following fields:

  • id: Unique string identifier for the chunk (str)
  • url: Source URL of the document from which the chunk was extracted
  • year: Publication year (integer, nullable)
  • keywords: List of keywords (List[str])
  • source: Source organization or website
  • text: Main text content
  • doc_id: Unique ID for each document. NB - chunks obtained from the same document will inherit the same document id. While the doc_id is unique for each document it is not unique for each chunk.
  • chunk_num: Chunk number within document (int)

Authors

This dataset was developed as part of a research internship program at the University of Southampton, Department of Electronics and Computer Science, under the supervision of Shuang Ao.

Internship Team:

Faculty Supervision:

  • [Name], PhD - uname
  • [Name], PhD - uname