veranchos/arg_mining_tweets

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The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: afl-3.0, from the tagEvidence: README.md at d14d45b
Licence files: No licence file at the top level of the repositoryEvidence: file list at d14d45b
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

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Citation text from the card

@inproceedings{davydova-tutubalina-2022-smm4h,
    title = "{SMM}4{H} 2022 Task 2: Dataset for stance and premise detection in tweets about health mandates related to {COVID}-19",
    author = "Davydova, Vera  and
      Tutubalina, Elena",
    booktitle = "Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop {\&} Shared Task",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.smm4h-1.53",
    pages = "216--220",
    abstract = "This paper is an organizers{'} report of the competition on argument mining systems dealing with English tweets about COVID-19 health mandates. This competition was held within the framework of the SMM4H 2022 shared tasks. During the competition, the participants were offered two subtasks: stance detection and premise classification. We present a manually annotated corpus containing 6,156 short posts from Twitter on three topics related to the COVID-19 pandemic: school closures, stay-at-home orders, and wearing masks. We hope the prepared dataset will support further research on argument mining in the health field.",
}

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dataset_licence({ "id": "veranchos/arg_mining_tweets" })
signal: "unclear"
stated_licence: "afl-3.0"
sources: 0