{ "default": { "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", "citation": " ", "homepage": "https://github.com/hausanlp/NaijaSenti", "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": "NaijaSenti", "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 } }