patas

Referencias:

• Código
• abrazando cara

etiquetado_final

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:paws/labeled_final')

• Descripción :

PAWS: Paraphrase Adversaries from Word Scrambling

This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature
the importance of modeling structure, context, and word order information for the problem
of paraphrase identification. The dataset has two subsets, one based on Wikipedia and the
other one based on the Quora Question Pairs (QQP) dataset.

For further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling
(https://arxiv.org/abs/1904.01130)

PAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original
data and then running our scripts to produce the data and attach the labels.

Note: There might be some missing or wrong labels in the dataset and we have replaced them with -1.

• Licencia : el conjunto de datos se puede utilizar libremente para cualquier propósito, aunque se agradecería el reconocimiento de Google LLC ("Google") como fuente de datos. El conjunto de datos se proporciona "TAL CUAL" sin ninguna garantía, expresa o implícita. Google renuncia a toda responsabilidad por cualquier daño, directo o indirecto, resultante del uso del conjunto de datos.
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "0",
            "1"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

intercambio_etiquetas

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:paws/labeled_swap')

• Descripción :

PAWS: Paraphrase Adversaries from Word Scrambling

This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature
the importance of modeling structure, context, and word order information for the problem
of paraphrase identification. The dataset has two subsets, one based on Wikipedia and the
other one based on the Quora Question Pairs (QQP) dataset.

For further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling
(https://arxiv.org/abs/1904.01130)

PAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original
data and then running our scripts to produce the data and attach the labels.

Note: There might be some missing or wrong labels in the dataset and we have replaced them with -1.

• Licencia : el conjunto de datos se puede utilizar libremente para cualquier propósito, aunque se agradecería el reconocimiento de Google LLC ("Google") como fuente de datos. El conjunto de datos se proporciona "TAL CUAL" sin ninguna garantía, expresa o implícita. Google renuncia a toda responsabilidad por cualquier daño, directo o indirecto, resultante del uso del conjunto de datos.
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "0",
            "1"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}

sin etiquetar_final

Utilice el siguiente comando para cargar este conjunto de datos en TFDS:

ds = tfds.load('huggingface:paws/unlabeled_final')

• Descripción :

PAWS: Paraphrase Adversaries from Word Scrambling

This dataset contains 108,463 human-labeled and 656k noisily labeled pairs that feature
the importance of modeling structure, context, and word order information for the problem
of paraphrase identification. The dataset has two subsets, one based on Wikipedia and the
other one based on the Quora Question Pairs (QQP) dataset.

For further details, see the accompanying paper: PAWS: Paraphrase Adversaries from Word Scrambling
(https://arxiv.org/abs/1904.01130)

PAWS-QQP is not available due to license of QQP. It must be reconstructed by downloading the original
data and then running our scripts to produce the data and attach the labels.

Note: There might be some missing or wrong labels in the dataset and we have replaced them with -1.

• Licencia : el conjunto de datos se puede utilizar libremente para cualquier propósito, aunque se agradecería el reconocimiento de Google LLC ("Google") como fuente de datos. El conjunto de datos se proporciona "TAL CUAL" sin ninguna garantía, expresa o implícita. Google renuncia a toda responsabilidad por cualquier daño, directo o indirecto, resultante del uso del conjunto de datos.
• Versión : 1.1.0
• Divisiones :

• Características :

{
    "id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "label": {
        "num_classes": 2,
        "names": [
            "0",
            "1"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}