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hlgd

References:

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:hlgd')
  • Description:
HLGD is a binary classification dataset consisting of 20,056 labeled news headlines pairs indicating
whether the two headlines describe the same underlying world event or not.
  • License: Apache-2.0 License
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 2495
'train' 15492
'validation' 2069
  • Features:
{
    "timeline_id": {
        "num_classes": 10,
        "names": [
            0,
            1,
            2,
            3,
            4,
            5,
            6,
            7,
            8,
            9
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    },
    "headline_a": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "headline_b": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "date_a": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "date_b": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "url_a": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "url_b": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "same_event",
            "different_event"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}