Datasets:
File size: 1,585 Bytes
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{
"default": {
"description": "AfriSenti is the largest sentiment analysis benchmark for under-represented languages---covering 110,000+ annotated tweets in 14 African languages (Amharic, Algerian Arabic, Hausa, Igbo, Kinyarwanda, Moroccan Arabic, Mozambican Portuguese, Nigerian Pidgin, Oromo, Swahili, Tigrinya, Twi, Xitsonga, and Yoruba) from four language families (Afro-Asiatic, English Creole, Indo-European and Niger-Congo).\n",
"citation": " ",
"homepage": "https://github.com/afrisenti-semeval/afrisent-semeval-2023",
"license": "",
"features": {
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"supervised_keys": {
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{
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"labels": [
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"negative",
"neutral"
]
}
],
"builder_name": "AfriSenti",
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} |