vibrantlabsai/amnesty_qa
Amnesty QA Dataset A grounded question-answering dataset for evaluating RAG (Retrieval-Augmented Generation) systems, created from reports collected from Amnesty International. This dataset is designed for testing and evaluating RAG pipelines with real-world human rights content. Dataset Structure Each sample contains: user_input: The question to be answered reference: Ground truth answer for evaluation response: Generated answer from the system… See the full description on the dataset page: https://huggingface.co/datasets/vibrantlabsai/amnesty_qa.
| Author / organization | vibrantlabsai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 7.3K (as reported by Hugging Face) |
| Likes | 31 |
| Created | 8 December 2023 |
| Last updated at source | 15 October 2025 |
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- 17 Oct 2026 Description: Amnesty QA Dataset A grounded question-answering dataset for evaluating RAG (Retrieval-Augmented Generation) systems, created from reports collected from Amnesty International. This dataset is designed for testing and evaluating RAG pipelin → Amnesty QA Dataset A grounded question-answering dataset for evaluating RAG (Retrieval-Augmented Generation) systems, created from reports collected from Amnesty International. This dataset is designed for testing and evaluating RAG pipelin
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