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Table · dataset · 2022

mteb/emotion

Listed in Hugging Face Datasets

Description

EmotionClassification An MTEB dataset Massive Text Embedding Benchmark Emotion is a dataset of English Twitter messages with six basic emotions: anger, fear, joy, love, sadness, and surprise. Task category t2c Domains Social, Written Reference aclweb.org/anthology/D18-1404 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(["EmotionClassification"])… See the full description on the dataset page: huggingface.co/datasets/mteb/emotion.

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Documentation and papers

Catalogue records · 1

Topics

Stated by source
text · text classification
From keywords
Computer Science & AI · Text
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmteb/emotion12 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