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Data · dataset · 2022

machelreid/m2d2

Listed in Hugging Face Datasets

Description

M2D2: A Massively Multi-domain Language Modeling Dataset From the paper "M2D2: A Massively Multi-domain Language Modeling Dataset", (Reid et al., EMNLP 2022) Load the dataset as follows: import datasets dataset = datasets.load_dataset("machelreid/m2d2", "cs.CL") # replace cs.CL with the domain of your choice print(dataset['train'][0]['text']) Domains Culture_and_the_arts Culture_and_the_arts__Culture_and_Humanities Culture_and_the_arts__Games_and_Toys… See the full description on the dataset page: huggingface.co/datasets/machelreid/m2d2.

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Catalogue records · 1

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Inferred from text
Text 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmachelreid/m2d211 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0