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{ |
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"default": { |
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"description": "NaijaSenti is the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeria — Hausa, Igbo, Nigerian-Pidgin, and Yorùbá — consisting of around 30,000 annotated tweets per language, including a significant fraction of code-mixed tweets.\n", |
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"citation": " ", |
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"homepage": "https://github.com/hausanlp/NaijaSenti", |
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"license": "", |
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"features": { |
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"text": { |
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"dtype": "string", |
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"id": null, |
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"_type": "Value" |
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}, |
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"label": { |
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"num_classes": 3, |
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"names": [ |
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"positive", |
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"negative", |
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"neutral" |
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], |
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"names_file": null, |
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"id": null, |
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"_type": "ClassLabel" |
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} |
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}, |
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"supervised_keys": { |
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"input": "tweet", |
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"output": "label" |
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}, |
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"task_templates": [ |
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{ |
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"task": "text-classification", |
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"text_column": "tweet", |
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"label_column": "label", |
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"labels": [ |
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"positive", |
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"negative", |
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"neutral" |
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] |
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} |
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], |
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"builder_name": "NaijaSenti", |
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"config_name": "default", |
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"version": { |
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"version_str": "0.0.0", |
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"patch": 0 |
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}, |
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"dataset_size": 2173417, |
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"size_in_bytes": 4243033 |
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} |
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} |
