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
  2. 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
  • Feature structure:
FeaturesDict({
    'evidences': Sequence(Text(shape=(), dtype=string)),
    'label': ClassLabel(shape=(), dtype=int64, num_classes=2),
    'passage': Text(shape=(), dtype=string),
    'query_and_answer': Text(shape=(), dtype=string),
})
  • Feature documentation:
Feature Class Shape Dtype Description
FeaturesDict
evidences Sequence(Text) (None,) string
label ClassLabel int64
passage Text string
query_and_answer Text string
  • Citation:
@unpublished{eraser2019,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}
}