Datasets › Merger Agreement Understanding Dataset (MAUD)

Merger Agreement Understanding Dataset (MAUD)

Introduced by Steven H. Wang et al. in MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding2 Jan 2023 archive 2025-07-28

MAUD is an expert-annotated merger agreement reading comprehension dataset based on the American Bar Association's 2021 Public Target Deal Points study, where lawyers and law students answered 92 questions about 152 merger agreements.

With over 39,000 examples and 47,000 total annotations, it is the largest expert-annotated legal reading comprehension dataset in the English language, as well as the first expert-annotated merger agreement dataset.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

CC BY 4.0 license

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • Merger Agreement Understanding Dataset (MAUD)

1 variant name, as the archive lists them.

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