Datasets:
lmqg
/

Languages:
English
Multilinguality:
monolingual
Size Categories:
1k<n<10K
Source Datasets:
tweet_qa
ArXiv:
Tags:
question-generation
License:
asahi417 commited on
Commit
62decfb
1 Parent(s): a5e8cef

Update qag_tweetqa.py

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Files changed (1) hide show
  1. 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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- TBA
 
 
 
 
 
 
 
 
 
 
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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"