Dataset Card for "drop" Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description Homepage: https://allenai.org/data/drop Repository: More Information Needed Paper: https://aclanthology.org/N19 1246/ Paper: https://arxiv.org/abs/1903.00161 Point of Contact: More Information Needed Size of downloaded dataset files: 8.30 MB Size of the generated dataset: 110.91 MB Total amount of disk used: 119.21 MB Dataset Summary DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. . DROP is a crowdsourced, adversarially created, 96k question benchmark, in which a system must resolve references in a question, perhaps to multiple input positions, and perform discrete operations over them (such as addition, counting, or sorting). These operations require a much m…
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