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Table of Contents

Dataset Description

Dataset Summary

CoQAR is a corpus containing 4.5K conversations from the open-source dataset Conversational Question-Answering dataset CoQA, for a total of 53K follow-up question-answer pairs. In CoQAR each original question was manually annotated with at least 2 at most 3 out-of-context rewritings. COQAR can be used for (at least) three NLP tasks: question paraphrasing, question rewriting and conversational question answering.

We annotated each original question of CoQA with at least 2 at most 3 out-of-context rewritings.

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Languages

English.

Dataset Structure

The dataset is composed of several conversations. Each row correspond to one question of one conversation. The fields are the following:

  • conversation_id
  • turn_id: first question has turn id 0, second question has turn id 1, etc.
  • original_question: string
  • question_paraphrases : list of decontextualized rewrittings of the original question,
  • answer: string, answer to the question,
  • answer_span_start: start of the answer span (char number in the story),
  • answer_span_end: end of the answer span (char number in the story),
  • answer_span_text: string, excerpt of the story from answer_span_start to answer_span_end,
  • conversation_history: list of strings corresponding to previous (original) questions and answers,
  • file_name
  • story: string providing context for the conversation, from which the answers can be deduced
  • name

Additional Information

Licensing Information

The annotations are published under the licence CC-BY-SA 4.0. The original content of the dataset CoQA is under the distinct licences described below.

The corpus CoQA contains passages from seven domains, which are public under the following licenses:

Citation Information

@inproceedings{brabant-etal-2022-coqar,
    title = "{C}o{QAR}: Question Rewriting on {C}o{QA}",
    author = "Brabant, Quentin  and
      Lecorv{\'e}, Gw{\'e}nol{\'e}  and
      Rojas Barahona, Lina M.",
    booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.lrec-1.13",
    pages = "119--126"
}