AfriSenti-Twitter / dataset_infos.json
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First commit
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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": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 3,
"names": [
"positive",
"negative",
"neutral"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
},
"post_processed": null,
"supervised_keys": {
"input": "tweet",
"output": "label"
},
"task_templates": [
{
"task": "text-classification",
"text_column": "tweet",
"label_column": "label",
"labels": [
"positive",
"negative",
"neutral"
]
}
],
"builder_name": "AfriSenti",
"config_name": "default",
"version": {
"version_str": "0.0.0",
"description": null,
"major": 0,
"minor": 0,
"patch": 0
},
"download_size": 2069616,
"post_processing_size": null,
"dataset_size": 2173417,
"size_in_bytes": 4243033
}
}