galileo-ai/ragbench
RAGBench Dataset Overview RAGBEnch is a large-scale RAG benchmark dataset of 100k RAG examples. It covers five unique industry-specific domains and various RAG task types. RAGBench examples are sourced from industry corpora such as user manuals, making it particularly relevant for industry applications. RAGBench comrises 12 sub-component datasets, each one split into train/validation/test splits Usage from datasets import load_dataset # load… See the full description on the dataset page: https://huggingface.co/datasets/galileo-ai/ragbench.
| Author / organization | galileo-ai |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 3.6K (as reported by Hugging Face) |
| Likes | 142 |
| Created | 5 June 2024 |
| Last updated at source | 11 June 2024 |
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Connected in the knowledge graph
- martinsu/tildeopen-30b-mu-instructModel · used to train
- vllm-sr/Decision-1.0-Route-0.6BModel · used to train
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