adv_colla

Riferimenti:

adv_sst2

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:adv_glue/adv_sst2')
  • Descrizione :
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.
  • Licenza : nessuna licenza nota
  • Versione : 1.0.0
  • Spaccature :
Diviso Esempi
'validation' 148
  • Caratteristiche :
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_qqp

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:adv_glue/adv_qqp')
  • Descrizione :
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.
  • Licenza : nessuna licenza nota
  • Versione : 1.0.0
  • Spaccature :
Diviso Esempi
'validation' 78
  • Caratteristiche :
{
    "question1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "question2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_mnli

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:adv_glue/adv_mnli')
  • Descrizione :
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.
  • Licenza : nessuna licenza nota
  • Versione : 1.0.0
  • Spaccature :
Diviso Esempi
'validation' 121
  • Caratteristiche :
{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_mnli_mismatched

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:adv_glue/adv_mnli_mismatched')
  • Descrizione :
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.
  • Licenza : nessuna licenza nota
  • Versione : 1.0.0
  • Spaccature :
Diviso Esempi
'validation' 162
  • Caratteristiche :
{
    "premise": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hypothesis": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_qnli

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:adv_glue/adv_qnli')
  • Descrizione :
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.
  • Licenza : nessuna licenza nota
  • Versione : 1.0.0
  • Spaccature :
Diviso Esempi
'validation' 148
  • Caratteristiche :
{
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

adv_rte

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:adv_glue/adv_rte')
  • Descrizione :
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.
  • Licenza : nessuna licenza nota
  • Versione : 1.0.0
  • Spaccature :
Diviso Esempi
'validation' 81
  • Caratteristiche :
{
    "sentence1": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence2": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "idx": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}