Datasets:
| { | |
| "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 | |
| } | |
| } |