Dataset:



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

More Information Needed

Languages

More Information Needed

Dataset Structure

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

Data Instances

default

  • 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.

default

  • 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

More Information Needed

Source Data

More Information Needed

Annotations

More Information Needed

Personal and Sensitive Information

More Information Needed

Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

More Information Needed

Other Known Limitations

More Information Needed

Additional Information

Dataset Curators

More Information Needed

Licensing Information

More Information Needed

Citation Information


@unpublished{eraser2019,
    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}
}
@inproceedings{MultiRC2018,
    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}
}

Contributions

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

Update on GitHub
Explore dataset Edit Model Tags

Models trained or fine-tuned on eraser_multi_rc

None yet