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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 / organizationErikYip
Downloads126 (as reported by Hugging Face)
Likes0
Created25 January 2024
Last updated at source25 January 2024
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