HanNight/RAMDocs
RAMDocs Data for the paper Retrieval-Augmented Generation with Conflicting Evidence. RAMDocs is a dataset that simulates complex and realistic scenarios for conflicting evidence for a user query, including ambiguity, misinformation, and noise. We provide the raw data file RAMDocs_test.jsonl. Data Fields Each instance contains the following fields: question: The question documents: list of documents, where each document contains the following fields: text: text of… See the full description on the dataset page: https://huggingface.co/datasets/HanNight/RAMDocs.
| Author / organization | HanNight |
|---|---|
| License (as declared) | mit |
| Downloads | 800 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 17 April 2025 |
| Last updated at source | 15 April 2026 |
Recent changes
- 16 Oct 2026 Description: RAMDocs Data for the paper Retrieval-Augmented Generation with Conflicting Evidence. RAMDocs is a dataset that simulates complex and realistic scenarios for conflicting evidence for a user query, including ambiguity, misinformation, and noi → RAMDocs Data for the paper Retrieval-Augmented Generation with Conflicting Evidence. RAMDocs is a dataset that simulates complex and realistic scenarios for conflicting evidence for a user query, including ambiguity, misinformation, and noi
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