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winogrande

References:

winogrande_xs

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:winogrande/winogrande_xs')
  • Description:
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
  • License: No known license
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1767
'train' 160
'validation' 1267
  • Features:
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

winogrande_s

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:winogrande/winogrande_s')
  • Description:
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
  • License: No known license
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1767
'train' 640
'validation' 1267
  • Features:
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

winogrande_m

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:winogrande/winogrande_m')
  • Description:
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
  • License: No known license
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1767
'train' 2558
'validation' 1267
  • Features:
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

winogrande_l

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:winogrande/winogrande_l')
  • Description:
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
  • License: No known license
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1767
'train' 10234
'validation' 1267
  • Features:
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

winogrande_xl

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:winogrande/winogrande_xl')
  • Description:
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
  • License: No known license
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1767
'train' 40398
'validation' 1267
  • Features:
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

winogrande_debiased

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:winogrande/winogrande_debiased')
  • Description:
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
 2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
  • License: No known license
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1767
'train' 9248
'validation' 1267
  • Features:
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "option2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "answer": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}