| dataset_info: | |
| features: | |
| - name: questionId | |
| dtype: int32 | |
| - name: question | |
| dtype: string | |
| - name: question_types | |
| list: string | |
| - name: image | |
| dtype: image | |
| - name: docId | |
| dtype: int32 | |
| - name: ucsf_document_id | |
| dtype: string | |
| - name: ucsf_document_page_no | |
| dtype: string | |
| - name: answers | |
| list: string | |
| splits: | |
| - name: train | |
| num_bytes: 5658303093.631 | |
| num_examples: 39463 | |
| - name: validation | |
| num_bytes: 2532362556.066 | |
| num_examples: 5349 | |
| - name: test | |
| num_bytes: 2500321215.732 | |
| num_examples: 5188 | |
| download_size: 9591606021 | |
| dataset_size: 10690986865.428999 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: validation | |
| path: data/validation-* | |
| - split: test | |
| path: data/test-* | |
| <div align="center"> | |
| # Neural Metrics · Asking documents questions, and grading the answers. | |
| <img src="https://img.shields.io/badge/Neural%20Metrics-document%20extraction-4F46E5?style=for-the-badge" alt="Neural Metrics" /> | |
| <img src="https://img.shields.io/badge/fork%20of-HuggingFaceM4%2FDocumentVQA-2563EB?style=flat-square" alt="fork" /> | |
| </div> | |
| Document visual question answering: given a page image and a natural-language question, produce the answer. It measures whether a model genuinely read the layout or merely pattern-matched the text. | |
| **We use it for:** evaluating question-answering over extracted documents - catching models that read text but misread structure. | |
| > ### Attribution | |
| > This is an **unmodified fork** of [`HuggingFaceM4/DocumentVQA`](https://huggingface.co/datasets/HuggingFaceM4/DocumentVQA), created by the [Qwen team](https://huggingface.co/Qwen). | |
| > All weights, files and behaviour are identical to upstream — we rehost it so our experiments stay | |
| > reproducible and version-pinned. The original license and all credit remain with the Qwen team. | |
| > If you want the canonical dataset, please use [the original](https://huggingface.co/datasets/HuggingFaceM4/DocumentVQA). | |
| --- | |
| <details> | |
| <summary><b>Original dataset card from HuggingFaceM4/DocumentVQA</b> (click to expand)</summary> | |
| </details> | |