Datasets:
Tasks:
Text Generation
Modalities:
Text
Sub-tasks:
language-modeling
Languages:
Korean
Size:
10K - 100K
ArXiv:
Tags:
question-generation
License:
Update qg_koquad.py
Browse files- qg_koquad.py +11 -1
qg_koquad.py
CHANGED
@@ -7,7 +7,17 @@ logger = datasets.logging.get_logger(__name__)
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_VERSION = "1.0.0"
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_NAME = "qg_koquad"
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_CITATION = """
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-
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"""
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_DESCRIPTION = """[KorQuAD](https://huggingface.co/datasets/squad_kor_v1) dataset for question generation (QG) task."""
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_URL = 'https://huggingface.co/datasets/lmqg/qg_koquad/raw/main/data/processed'
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_VERSION = "1.0.0"
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_NAME = "qg_koquad"
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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 = """[KorQuAD](https://huggingface.co/datasets/squad_kor_v1) dataset for question generation (QG) task."""
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_URL = 'https://huggingface.co/datasets/lmqg/qg_koquad/raw/main/data/processed'
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