Datasets:
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---
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:**
- Varun Shenoy - https://huggingface.co/varoon67
- Name - uname
- Name - uname
**Faculty Supervision:**
- [Name], PhD - uname
- [Name], PhD - uname
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