pindai

ds = tfds.load('huggingface:scan/simple')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/addprim_jump')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/addprim_turn_left')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/filler_num0')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/filler_num1')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/filler_num2')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/filler_num3')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/length')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/template_around_right')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/template_jump_around_right')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/template_opposite_right')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}

ds = tfds.load('huggingface:scan/template_right')

SCAN tasks with various splits.

SCAN is a set of simple language-driven navigation tasks for studying
compositional learning and zero-shot generalization.

See https://github.com/brendenlake/SCAN for a description of the splits.

Example usage:
data = datasets.load_dataset('scan/length')

{
    "commands": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "actions": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}