adriantheuma/raven-data
Raven Dataset The dataset that we use to fine-tune Raven is composed from four distinct question-answering datasets. Two are specifically from the financial domain with the remaining being generic and incorporating questions over both tables and text. TAT-QA. Table-and-Text Question Answering consists of 16,552 questions generated by financial experts associated with 2,757 hybrid contexts drawn from real-world financial reports. Financial PhraseBank… See the full description on the dataset page: https://huggingface.co/datasets/adriantheuma/raven-data.
| Author / organization | adriantheuma |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 509 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 10 July 2023 |
| Last updated at source | 24 January 2024 |
Popularity, last 3 days
509 now (+13 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Raven Dataset The dataset that we use to fine-tune Raven is composed from four distinct question-answering datasets. Two are specifically from the financial domain with the remaining being generic and incorporating questions over both table → Raven Dataset The dataset that we use to fine-tune Raven is composed from four distinct question-answering datasets. Two are specifically from the financial domain with the remaining being generic and incorporating questions over both table
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 Information may be incomplete or out of date.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.