Dataset Card for "eraser_multi_rc"

Dataset Summary

Eraser Multi RC is a dataset for queries over multi-line passages, along with answers and a rationalte. Each example in this dataset has the following 5 parts

  1. A Mutli-line Passage
  2. A Query about the passage
  3. An Answer to the query
  4. A Classification as to whether the answer is right or wrong
  5. An Explanation justifying the classification

Supported Tasks

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances


  • Size of downloaded dataset files: 1.59 MB
  • Size of the generated dataset: 60.70 MB
  • Total amount of disk used: 62.29 MB

An example of 'validation' looks as follows.

This example was too long and was cropped:

    "evidences": "[\"Allan sat down at his desk and pulled the chair in close .\", \"Opening a side drawer , he took out a piece of paper and his ink...",
    "label": 0,
    "passage": "\"Allan sat down at his desk and pulled the chair in close .\\nOpening a side drawer , he took out a piece of paper and his inkpot...",
    "query_and_answer": "Name few objects said to be in or on Allan 's desk || Eraser"

Data Fields

The data fields are the same among all splits.


  • passage: a string feature.
  • query_and_answer: a string feature.
  • label: a classification label, with possible values including False (0), True (1).
  • evidences: a list of string features.

Data Splits Sample Size

name train validation test
default 24029 3214 4848

Dataset Creation

Curation Rationale

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Source Data

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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

    title = {ERASER: A Benchmark to Evaluate Rationalized NLP Models},
    author = {Jay DeYoung and Sarthak Jain and Nazneen Fatema Rajani and Eric Lehman and Caiming Xiong and Richard Socher and Byron C. Wallace}
    author = {Daniel Khashabi and Snigdha Chaturvedi and Michael Roth and Shyam Upadhyay and Dan Roth},
    title = {Looking Beyond the Surface:A Challenge Set for Reading Comprehension over Multiple Sentences},
    booktitle = {NAACL},
    year = {2018}


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

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