adv_lem

Referensi:

• Kode
• Memeluk wajah

adv_sst2

Gunakan perintah berikut untuk memuat dataset ini di TFDS:

ds = tfds.load('huggingface:adv_glue/adv_sst2')

• Deskripsi :

Adversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark
that focuses on the adversarial robustness evaluation of language models. It covers five
natural language understanding tasks from the famous GLUE tasks and is an adversarial
version of GLUE benchmark.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

Membelah	Contoh
'validation'	148

• Fitur :

{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_qqp

Gunakan perintah berikut untuk memuat dataset ini di TFDS:

ds = tfds.load('huggingface:adv_glue/adv_qqp')

• Deskripsi :

Adversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark
that focuses on the adversarial robustness evaluation of language models. It covers five
natural language understanding tasks from the famous GLUE tasks and is an adversarial
version of GLUE benchmark.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

Membelah	Contoh
'validation'	78

• Fitur :

{
    "question1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_mnli

Gunakan perintah berikut untuk memuat dataset ini di TFDS:

ds = tfds.load('huggingface:adv_glue/adv_mnli')

• Deskripsi :

Adversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark
that focuses on the adversarial robustness evaluation of language models. It covers five
natural language understanding tasks from the famous GLUE tasks and is an adversarial
version of GLUE benchmark.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

Membelah	Contoh
'validation'	121

• Fitur :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_mnli_mismatched

Gunakan perintah berikut untuk memuat dataset ini di TFDS:

ds = tfds.load('huggingface:adv_glue/adv_mnli_mismatched')

• Deskripsi :

Adversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark
that focuses on the adversarial robustness evaluation of language models. It covers five
natural language understanding tasks from the famous GLUE tasks and is an adversarial
version of GLUE benchmark.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

Membelah	Contoh
'validation'	162

• Fitur :

{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_qnli

Gunakan perintah berikut untuk memuat dataset ini di TFDS:

ds = tfds.load('huggingface:adv_glue/adv_qnli')

• Deskripsi :

Adversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark
that focuses on the adversarial robustness evaluation of language models. It covers five
natural language understanding tasks from the famous GLUE tasks and is an adversarial
version of GLUE benchmark.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

Membelah	Contoh
'validation'	148

• Fitur :

{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_rte

Gunakan perintah berikut untuk memuat dataset ini di TFDS:

ds = tfds.load('huggingface:adv_glue/adv_rte')

• Deskripsi :

Adversarial GLUE Benchmark (AdvGLUE) is a comprehensive robustness evaluation benchmark
that focuses on the adversarial robustness evaluation of language models. It covers five
natural language understanding tasks from the famous GLUE tasks and is an adversarial
version of GLUE benchmark.

• Lisensi : Tidak ada lisensi yang diketahui
• Versi : 1.0.0
• Perpecahan :

Membelah	Contoh
'validation'	81

• Fitur :

{
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}