ErikYip/LLM-Uncertainty-Bench
Datasets comprising 10,000 instances each used for uncertainty quantification in LLMs. mmlu_10k is used for question answering. cosmosqa_10k is used for reading comprehension. hellaswag_10k is used for commonsense inference. halu_dialogue is used for dialogue response selection. halu_summarization is used for document summarization. For more details on how these datasets are utilized, check out our github repo: https://github.com/smartyfh/LLM-Uncertainty-Bench/tree/main
| Author / organization | ErikYip |
|---|---|
| Downloads | 126 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 25 January 2024 |
| Last updated at source | 25 January 2024 |
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