Salesforce/UniDoc-Bench
UNIDOC-BENCH Dataset A unified benchmark for document-centric multimodal retrieval-augmented generation (MM-RAG). Dataset Description UNIDOC-BENCH is the first large-scale, realistic benchmark for multimodal retrieval-augmented generation (MM-RAG) and Visual Question Answering (VQA) built from 70,000 real-world PDF pages across eight domains. The dataset extracts and links evidence from text, tables, and figures, then generates 1,700+ multimodal QA pairs… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/UniDoc-Bench.
| Author / organization | Salesforce |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 16 |
| Created | 9 October 2025 |
| Last updated at source | 3 December 2025 |
Recent changes
- 16 Oct 2026 Description: UNIDOC-BENCH Dataset A unified benchmark for document-centric multimodal retrieval-augmented generation (MM-RAG). Dataset Description UNIDOC-BENCH is the first large-scale, realistic benchmark for multimodal retrieval-augmented generation ( → UNIDOC-BENCH Dataset A unified benchmark for document-centric multimodal retrieval-augmented generation (MM-RAG). Dataset Description UNIDOC-BENCH is the first large-scale, realistic benchmark for multimodal retrieval-augmented generation (
Changes detected by Silytics between refreshes of the source.
More from Salesforce
- Salesforce/wikitextDataset
- Salesforce/GiftEvalPretrainDataset
- Salesforce/lotsa_dataDataset
- Salesforce/xlam-function-calling-60kDataset
- Salesforce/3d_optical_flow_droidDataset
- Salesforce/GiftEvalDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.