{
 "id": "RECAP-data/reuse-qa",
 "owner": "RECAP-data",
 "name": "reuse-qa",
 "downloads": 48,
 "likes": 0,
 "last_modified": "2026-10-27T10:04:51.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "mixed-upstream-terms",
 "licence_link": "https://huggingface.co/datasets/RECAP-data/reuse-qa/blob/main/LICENSE",
 "file_licence": "cc-by-nc-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "Please cite the accompanying manuscript, *RECAP: Structured Plan Reuse for Efficient Tool-Using Agents*, and the source benchmark:\n\n- Islam et al. *FinanceBench: A New Benchmark for Financial Question Answering* (2023). [Paper](https://arxiv.org/abs/2311.11944).\n- Mialon et al. *GAIA: A Benchmark for General AI Assistants*. ICLR (2024). [Dataset and citation](https://huggingface.co/datasets/gaia-benchmark/GAIA).\n- Khabiri et al. *Declarative Techniques for NL Queries over Heterogeneous Data*. EMNLP Industry Track (2025). [Paper](https://aclanthology.org/2025.emnlp-industry.123/).\n- Yu et al. *Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task*. EMNLP (2018). [Paper](https://aclanthology.org/D18-1425/).",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "1c7715949152911cd4b0ff57168738a9ce8f6312",
 "stated_evidence": "https://huggingface.co/datasets/RECAP-data/reuse-qa/blob/1c7715949152911cd4b0ff57168738a9ce8f6312/README.md",
 "file_evidence": "https://huggingface.co/datasets/RECAP-data/reuse-qa/blob/1c7715949152911cd4b0ff57168738a9ce8f6312/LICENSE",
 "card_nc": false
}