sentyment140

ds = tfds.load('huggingface:sentiment140/sentiment140')

Sentiment140 consists of Twitter messages with emoticons, which are used as noisy labels for
sentiment classification. For more detailed information please refer to the paper.

{
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "date": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "user": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentiment": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "query": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}