emosi

ds = tfds.load('huggingface:emo/emo2019')

In this dataset, given a textual dialogue i.e. an utterance along with two previous turns of context, the goal was to infer the underlying emotion of the utterance by choosing from four emotion classes - Happy, Sad, Angry and Others.

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 4,
        "names": [
            "others",
            "happy",
            "sad",
            "angry"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}