PolyMRC / README.md
patrick hammer
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license: apache-2.0
task_categories:
  - multiple-choice

We construct a dataset through entries with multiple meanings and examples from dictionaries, and set the example as context and explanations as choices, the goal of Polysemy Machine Comprehension (PolyMRC) is to find the correct explanation of the entry in the example.

the statistics of the dataset

split sentences average sentence length
train 46,119 38.55
validation 5,765 38.31
test 5,765 38.84