rLLM/rLLM-FinQA-Dataset
Data Our dataset consists of financial Q&A pairs derived from SEC 10-K filings across 207 public companies: 5,110 single-table questions. 1,248 multi-table questions. 6,923 financial tables. Format Each row in the dataset contains: user_query: The question with company context. question: The core question. answer: The ground truth answer. explanation: The step-by-step solution. company: The company name. table_name: The table(s) needed to answer. question_type:… See the full description on the dataset page: https://huggingface.co/datasets/rLLM/rLLM-FinQA-Dataset.
| Author / organization | rLLM |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 238 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 28 January 2026 |
| Last updated at source | 11 February 2026 |
Popularity, last 3 days
238 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- rLLM/rLLM-FinQA-4BModel · used to train
Recent changes
- 17 Oct 2026 Description: Data Our dataset consists of financial Q&A pairs derived from SEC 10-K filings across 207 public companies: 5,110 single-table questions. 1,248 multi-table questions. 6,923 financial tables. Format Each row in the dataset contains: user_que → Data Our dataset consists of financial Q&A pairs derived from SEC 10-K filings across 207 public companies: 5,110 single-table questions. 1,248 multi-table questions. 6,923 financial tables. Format Each row in the dataset contains: user_que
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.