Datasets:
File size: 1,583 Bytes
aa64c61 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
{
"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": "text",
"output": "label"
},
"task_templates": [
{
"task": "text-classification",
"text_column": "text",
"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
}
} |