{
 "id": "xpertsystems/fqa-000-sample",
 "owner": "xpertsystems",
 "name": "fqa-000-sample",
 "downloads": 27,
 "likes": 0,
 "last_modified": "2026-05-29T18:42:58.000Z",
 "stated_licence": "cc-by-nc-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@dataset{xpertsystems_fqa001_2026,\n  title  = {FQA-001: Synthetic Financial Q&A Dataset --- Investment-Domain Questions\n            with Tiered Answers, Multi-Turn Conversations & Adversarial Variants (Sample)},\n  author = {XpertSystems.ai},\n  year   = {2026},\n  publisher = {Hugging Face},\n  note   = {Synthetic data. Not investment advice. Fictional entities. Calibration\n            anchors: CFA Institute Level-I curriculum topic-area weights; Bloom's\n            taxonomy item-difficulty skew; FinQA (Chen et al. 2021) error analysis;\n            TruthfulQA + AdvGLUE + OWASP LLM Top 10 adversarial taxonomy; Reuters\n            corpus Zipf entity reuse; Accenture financial-chatbot resolution benchmark.},\n  url    = {https://huggingface.co/datasets/xpertsystems/fqa-001-sample}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-4.0) is classified as having use restrictions.",
 "revision": "d314953e682c2a3435024686c53539af839be268",
 "stated_evidence": "https://huggingface.co/datasets/xpertsystems/fqa-000-sample/blob/d314953e682c2a3435024686c53539af839be268/README.md",
 "file_evidence": "https://huggingface.co/datasets/xpertsystems/fqa-000-sample/tree/d314953e682c2a3435024686c53539af839be268",
 "card_nc": false
}