Dataset · Hugging Face

huawei-noah/human_rank_eval

Name: human_rank_eval
Creator: huawei-noah
License: mit
Keywords: task_categories:text-generation, task_categories:question-answering, language:en, license:mit, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2405.09186, region:us

Dataset Card for HumanRankEval This dataset supports the NAACL 2024 paper HumanRankEval: Automatic Evaluation of LMs as Conversational Assistants. Dataset Description Language models (LMs) as conversational assistants recently became popular tools that help people accomplish a variety of tasks. These typically result from adapting LMs pretrained on general domain text sequences through further instruction-tuning and possibly preference optimisation methods. The… See the full description on the dataset page: https://huggingface.co/datasets/huawei-noah/human_rank_eval.

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Author / organization	huawei-noah
License (as declared)	mit
Downloads	188 (as reported by Hugging Face)
Likes	2
Created	23 July 2024
Last updated at source	25 July 2024

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