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DROP

Reasoning

DROP is a reading-comprehension benchmark whose questions require discrete operations over the paragraph — addition, subtraction, comparison, counting, sorting. It is built so that extracting a span cannot answer them.

drop

Full text200 tasksProblems imported

Official source

Full text: eligible public problems include text, images and discussion.

At a glance

What a problem looks like

A passage and a question about it. The answer spans and numbers are not part of the prompt.

Read an actual problem

How it is scored

The source ships answer spans with every question; this catalogue keeps them in restricted storage and never renders them.

Metric: exact match and macro-averaged F1 over the answer spans

Why it is hard

The passage contains the facts but not the answer. Getting it right means locating several numbers, deciding which operation relates them, and carrying it out exactly.

Cite

@article{dua2019drop,
  title={DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs},
  author={Dheeru Dua and Yizhong Wang and Pradeep Dasigi and Gabriel Stanovsky and Sameer Singh and Matt Gardner},
  journal={arXiv preprint arXiv:1903.00161},
  year={2019}
}

Discussion

Contribute

Share a reproduction, report an evaluation issue, or suggest a correction to this benchmark overview.

Tasks

Whole public benchmark.

Public problems
200
Formats
text (200)
Problems with images
0
Answer availability
Answer published by the source (200)
Configs
default (200)
Splits
validation (200)
Awaiting a first discussion
200
Problems with a discussion
0
Public contributions
0

Provenance and terms

Pinned source revisions, newest first:

  • 95cda593fae71b60b5b19f82de3fcf3298c1239c · acquired 2026-09-12 · release c2d8b15a0e89
  • 95cda593fae71b60b5b19f82de3fcf3298c1239c · acquired 2026-09-12 · release fc596d0216e7