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Merger Agreement Understanding Dataset (MAUD) v1 is a corpus of 47,000+ labels in 152 merger agreements that have been manually labeled under the supervision of experienced lawyers to identify 92 questions in each agreement used by the 2021 American Bar Association (ABA) Public Target Deal Points Study. MAUD is curated and maintained by The Atticus Project, Inc. to support NLP research and development in legal contract review. ReadMe and Datasheet are published here. Code for replicating the results, together with the model trained on CUAD, is published on Github here.
legal dataset, legal contract, reading comprehension
legal dataset, legal contract, reading comprehension
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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