cakar

Referensi:

• Kode
• wajah berpelukan

berlabel_final

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

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

• Keterangan :

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.

• Lisensi : Kumpulan data dapat digunakan secara bebas untuk tujuan apa pun, meskipun pengakuan terhadap Google LLC ("Google") sebagai sumber data akan dihargai. Kumpulan data disediakan "APA ADANYA" tanpa jaminan apa pun, tersurat maupun tersirat. Google melepaskan tanggung jawab apa pun atas segala kerusakan, langsung atau tidak langsung, yang diakibatkan oleh penggunaan kumpulan data.
• Versi : 1.1.0
• Perpecahan :

• Fitur :

{
    "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"
    }
}

berlabel_swap

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

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

• Keterangan :

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.

• Lisensi : Kumpulan data dapat digunakan secara bebas untuk tujuan apa pun, meskipun pengakuan terhadap Google LLC ("Google") sebagai sumber data akan dihargai. Kumpulan data disediakan "APA ADANYA" tanpa jaminan apa pun, tersurat maupun tersirat. Google melepaskan tanggung jawab apa pun atas segala kerusakan, langsung atau tidak langsung, yang diakibatkan oleh penggunaan kumpulan data.
• Versi : 1.1.0
• Perpecahan :

• Fitur :

{
    "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"
    }
}

tidak berlabel_final

Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:

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

• Keterangan :

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.

• Lisensi : Kumpulan data dapat digunakan secara bebas untuk tujuan apa pun, meskipun pengakuan terhadap Google LLC ("Google") sebagai sumber data akan dihargai. Kumpulan data disediakan "APA ADANYA" tanpa jaminan apa pun, tersurat maupun tersirat. Google melepaskan tanggung jawab apa pun atas segala kerusakan, langsung atau tidak langsung, yang diakibatkan oleh penggunaan kumpulan data.
• Versi : 1.1.0
• Perpecahan :

• Fitur :

{
    "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"
    }
}