Dataset Card for "lmqg/qa_squadshifts_synthetic"

Dataset Description

• Repository: https://github.com/asahi417/lm-question-generation
• Paper: https://arxiv.org/abs/2210.03992
• Point of Contact: Asahi Ushio

Dataset Summary

This is a synthetic QA dataset generated with fine-tuned QG models over lmqg/qa_squadshifts, made for question-answering based evaluation (QAE) for question generation model proposed by Zhang and Bansal, 2019. The test split is the original validation set of lmqg/qa_squadshifts, where the model should be evaluate on.

Supported Tasks and Leaderboards

• question-answering

Languages

English (en)

Dataset Structure

Data Fields

The data fields are the same among all splits.

plain_text

• id: a string feature of id
• title: a string feature of title of the paragraph
• context: a string feature of paragraph
• question: a string feature of question
• answers: a json feature of answers

Data Splits

TBA

Citation Information

@inproceedings{ushio-etal-2022-generative,
    title = "{G}enerative {L}anguage {M}odels for {P}aragraph-{L}evel {Q}uestion {G}eneration",
    author = "Ushio, Asahi  and
        Alva-Manchego, Fernando  and
        Camacho-Collados, Jose",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, U.A.E.",
    publisher = "Association for Computational Linguistics",
}