README.md

metadata

license: apache-2.0
task_categories:
  - multiple-choice
language:
  - zh
size_categories:
  - 10M<n<100M

We construct a dataset through entries with multiple meanings and examples from Chinese 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