pdfqa/pdfQA-Annotations
pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs pdfQA is a structured benchmark collection for document-level question answering and PDF understanding research. This repository contains the pdfQA-Annotations dataset, which provides only the QA annotations and metadata for the pdfQA-Benchmark. It is intended for lightweight experimentation, modeling, and evaluation without requiring access to large document files. Relationship to the Full… See the full description on the dataset page: https://huggingface.co/datasets/pdfqa/pdfQA-Annotations.
| Author / organization | pdfqa |
|---|---|
| License (as declared) | mit |
| Downloads | 392 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 22 February 2026 |
| Last updated at source | 11 March 2026 |
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Recent changes
- 17 Oct 2026 Description: pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs pdfQA is a structured benchmark collection for document-level question answering and PDF understanding research. This repository contains the pdfQA-Annotations dataset, → pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs pdfQA is a structured benchmark collection for document-level question answering and PDF understanding research. This repository contains the pdfQA-Annotations dataset,
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- pdfqa/pdfQA-BenchmarkDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.