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ds = tfds.load('huggingface:limit')

Motion recognition is one of the basic cognitive capabilities of many life forms, yet identifying motion of physical entities in natural language have not been explored extensively and empirically. Literal-Motion-in-Text (LiMiT) dataset, is a large human-annotated collection of English text sentences describing physical occurrence of motion, with annotated physical entities in motion.

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "motion": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "motion_entities": [
        {
            "entity": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "start_index": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        }
    ]
}