Datasets › AMALGUM

AMALGUM (A Machine Annotated Lookalike of GUM)

Introduced by Luke Gessler et al. in AMALGUM -- A Free, Balanced, Multilayer English Web Corpus18 Jun 2020 archive 2025-07-28

AMALGUM is a machine annotated multilayer corpus following the same design and annotation layers as GUM, but substantially larger (around 4M tokens). The goal of this corpus is to close the gap between high quality, richly annotated, but small datasets, and the larger but shallowly annotated corpora that are often scraped from the Web.

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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 5 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

Named Entity Recognition (NER)Dependency Parsing Coreference Resolution Part-Of-Speech Tagging Nested Named Entity Recognition Discourse Parsing Nested Mention Recognition Lemmatization Discourse Segmentation

License archive 2025-07-28

CC-BY-NC-SA

Modalities archive 2025-07-28

Texts

Languages archive 2025-07-28

English

Variants archive 2025-07-28

AMALGUM

1 variant name, as the archive lists them.

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