Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
English
Multilinguality:
monolingual
Size Categories:
1k<n<10K
Source Datasets:
tweet_qa
ArXiv:
License:
Update qag_tweetqa.py
Browse files- qag_tweetqa.py +11 -1
qag_tweetqa.py
CHANGED
@@ -5,7 +5,17 @@ logger = datasets.logging.get_logger(__name__)
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_VERSION = "2.0.1"
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_NAME = "qag_tweetqa"
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_CITATION = """
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-
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"""
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_DESCRIPTION = """Question & answer generation dataset based on [TweetQA](https://huggingface.co/datasets/tweet_qa)."""
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_URL = "https://huggingface.co/datasets/lmqg/qag_tweetqa/resolve/main/data/processed"
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_VERSION = "2.0.1"
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_NAME = "qag_tweetqa"
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_CITATION = """
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@inproceedings{ushio-etal-2022-generative,
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title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
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author = "Ushio, Asahi and
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Alva-Manchego, Fernando and
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Camacho-Collados, Jose",
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booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
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month = dec,
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year = "2022",
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address = "Abu Dhabi, U.A.E.",
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publisher = "Association for Computational Linguistics",
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}
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"""
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_DESCRIPTION = """Question & answer generation dataset based on [TweetQA](https://huggingface.co/datasets/tweet_qa)."""
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_URL = "https://huggingface.co/datasets/lmqg/qag_tweetqa/resolve/main/data/processed"
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