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Data · dataset · 2022

imranraad/github-emotion-love

Listed in Hugging Face Datasets

AutoTrain Dataset for project: github-emotion-love Dataset Description Dataset used in the paper: Imran et al., "Data Augmentation for Improving Emotion Recognition in Software Engineering Communication", ASE-2022.

Description

This is an annotated dataset of 2000 GitHub comments. Six basic emotions are annotated.

They are Anger, Love, Fear, Joy, Sadness and Surprise. This repository contains annotations of all emotions. Dataset Structure Dataset is in CSV format.

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The… See the full description on the dataset page: huggingface.co/datasets/imranraad/github-emotion-love.

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Catalogue records · 1

Topics

Stated by source
text classification
Inferred from text
Human-centred computing 70%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsimranraad/github-emotion-love15 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4608enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
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
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