--- 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