FreedomIntelligence/RAG-Instruct
Introduction RAG-Instruct is a RAG dataset designed to comprehensively enhance LLM RAG capabilities, synthesized using GPT-4o. This dataset is based on the Wikipedia corpus and This dataset is based on the Wikipedia corpus and offers the advantages of query-document scenario diversity and task diversity. The RAG-Instruct dataset can significantly enhance the RAG ability of LLMs and make remarkable improvements in RAG performance across various tasks. Model WQA (acc) PQA… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/RAG-Instruct.
| Author / organization | FreedomIntelligence |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 308 (as reported by Hugging Face) |
| Likes | 50 |
| Created | 5 January 2025 |
| Last updated at source | 8 January 2025 |
Recent changes
- 16 Oct 2026 Description: Introduction RAG-Instruct is a RAG dataset designed to comprehensively enhance LLM RAG capabilities, synthesized using GPT-4o. This dataset is based on the Wikipedia corpus and This dataset is based on the Wikipedia corpus and offers the ad → Introduction RAG-Instruct is a RAG dataset designed to comprehensively enhance LLM RAG capabilities, synthesized using GPT-4o. This dataset is based on the Wikipedia corpus and This dataset is based on the Wikipedia corpus and offers the ad
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