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Text · dataset · 2022

mteb/reddit-clustering-p2p

Listed in Hugging Face Datasets

Description

RedditClusteringP2P.v2 An MTEB dataset Massive Text Embedding Benchmark Clustering of title+posts from reddit. Clustering of 10 sets of 50k paragraphs and 40 sets of 10k paragraphs. Task category t2c Domains Web, Social, Written Reference arxiv.org/abs/2104.07081 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(["RedditClusteringP2P.v2"]) evaluator =… See the full description on the dataset page: huggingface.co/datasets/mteb/reddit-clustering-p2p.

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Catalogue records · 1

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Stated by source
text · text classification
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Computer Science & AI · Text
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmteb/reddit-clustering-p2p11 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
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
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