eraser_multi_rc

  • Description:

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
Split Examples
'test' 4,848
'train' 24,029
'validation' 3,214
  • Features:
FeaturesDict({
    'evidences': Sequence(Text(shape=(), dtype=tf.string)),
    'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=2),
    'passage': Text(shape=(), dtype=tf.string),
    'query_and_answer': Text(shape=(), dtype=tf.string),
})

@unpublished{eraser2019,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}
}