Jerry999/CardBench

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The declared licence (apache-2.0) is classified as permissive.

Declared licence: apache-2.0, from the tagEvidence: README.md at c5c31ea
Licence files: No licence file at the top level of the repositoryEvidence: file list at c5c31ea
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{liu-etal-2024-automatic,
    title = "Automatic Generation of Model and Data Cards: A Step Towards Responsible {AI}",
    author = "Liu, Jiarui  and
      Li, Wenkai  and
      Jin, Zhijing  and
      Diab, Mona",
    editor = "Duh, Kevin  and
      Gomez, Helena  and
      Bethard, Steven",
    booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
    month = jun,
    year = "2024",
    address = "Mexico City, Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.naacl-long.110",
    doi = "10.18653/v1/2024.naacl-long.110",
    pages = "1975--1997",
    abstract = "In an era of model and data proliferation in machine learning/AI especially marked by the rapid advancement of open-sourced technologies, there arises a critical need for standardized consistent documentation. Our work addresses the information incompleteness in current human-written model and data cards. We propose an automated generation approach using Large Language Models (LLMs). Our key contributions include the establishment of CardBench, a comprehensive dataset aggregated from over 4.8k model cards and 1.4k data cards, coupled with the development of the CardGen pipeline comprising a two-step retrieval process. Our approach exhibits enhanced completeness, objectivity, and faithfulness in generated model and dat

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dataset_licence({ "id": "Jerry999/CardBench" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0