Dataset Card for "quoref"

Dataset Summary

Quoref is a QA dataset which tests the coreferential reasoning capability of reading comprehension systems. In this span-selection benchmark containing 24K questions over 4.7K paragraphs from Wikipedia, a system must resolve hard coreferences before selecting the appropriate span(s) in the paragraphs for answering questions.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 5.08 MB
• Size of the generated dataset: 49.82 MB
• Total amount of disk used: 54.90 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

{
    "answers": {
        "answer_start": [1633],
        "text": ["Frankie"]
    },
    "context": "\"Frankie Bono, a mentally disturbed hitman from Cleveland, comes back to his hometown in New York City during Christmas week to ...",
    "id": "bfc3b34d6b7e73c0bd82a009db12e9ce196b53e6",
    "question": "What is the first name of the person who has until New Year's Eve to perform a hit?",
    "title": "Blast of Silence",
    "url": "https://en.wikipedia.org/wiki/Blast_of_Silence"
}

Data Fields

The data fields are the same among all splits.

default

• id : a string feature.
• question : a string feature.
• context : a string feature.
• title : a string feature.
• url : a string feature.
• answers : a dictionary feature containing:
  • answer_start : a int32 feature.
  • text : a string feature.

Data Splits

name	train	validation
default	19399	2418

Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@article{allenai:quoref,
      author    = {Pradeep Dasigi and Nelson F. Liu and Ana Marasovic and Noah A. Smith and  Matt Gardner},
      title     = {Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning},
      journal   = {arXiv:1908.05803v2 },
      year      = {2019},
}

Contributions

Thanks to @lewtun , @patrickvonplaten , @thomwolf for adding this dataset.