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
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- 491 Bytes
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- e888dd7f30ee3a37b2c0cada5f5bd01870176976ab0e59f22c9df141ab2b1634
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