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Text · dataset · 2022

mteb/twentynewsgroups-clustering

Listed in Hugging Face Datasets

Description

TwentyNewsgroupsClustering.v2 An MTEB dataset Massive Text Embedding Benchmark Clustering of the 20 Newsgroups dataset (subject only). Task category t2c Domains News, Written Reference scikit-learn.org/0.19/datasets/twenty_newsgroups.html How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["TwentyNewsgroupsClustering.v2"]) evaluator = mteb.MTEB(task)… See the full description on the dataset page: huggingface.co/datasets/mteb/twentynewsgroups-clustering.

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Documentation and papers

Catalogue records · 1

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Stated by source
text · text classification
From keywords
Computer Science & AI · Text
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmteb/twentynewsgroups-clustering11 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].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textmapping · Hugging Facevocabulary-mapper@1.0.0keywords['text']
concepts[task].hf_task:text-classificationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
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license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0