wenge-research/TableEval
TableEval ๐ โข ๐ ๐ Dataset Summary TableEval is the first cross-language tabular question-answering benchmark supporting Simplified Chinese, Traditional Chinese, and English. It features: Real-World Domains: Financial Disclosures, Academic Papers, Administrative Records, and Industry Reports. Table Languages: English, Simplified Chinese, Traditional Chinese Instances: 2,325 QA pairs Tables: 617 Excel spreadsheets Structure: Merged cellsโฆ See the full description on the dataset page: https://huggingface.co/datasets/wenge-research/TableEval.
| Author / organization | wenge-research |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 219 (as reported by Hugging Face) |
| Likes | 4 |
| Created | 5 June 2025 |
| Last updated at source | 5 June 2025 |
Popularity, last 3 days
219 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: TableEval ๐ โข ๐ ๐ Dataset Summary TableEval is the first cross-language tabular question-answering benchmark supporting Simplified Chinese, Traditional Chinese, and English. It features: Real-World Domains: Financial Disclosures, Academi โ TableEval ๐ โข ๐ ๐ Dataset Summary TableEval is the first cross-language tabular question-answering benchmark supporting Simplified Chinese, Traditional Chinese, and English. It features: Real-World Domains: Financial Disclosures,
Changes detected by Silytics between refreshes of the source.
More from wenge-research
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 Information may be incomplete or out of date.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.