Referencias:
adv_sst2
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:adv_glue/adv_sst2')
- Descripción :
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.
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'validation' | 148 |
- Características :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
adv_qqp
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:adv_glue/adv_qqp')
- Descripción :
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.
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'validation' | 78 |
- Características :
{
"question1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
adv_mnli
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:adv_glue/adv_mnli')
- Descripción :
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.
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'validation' | 121 |
- Características :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
adv_mnli_mismatched
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:adv_glue/adv_mnli_mismatched')
- Descripción :
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.
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'validation' | 162 |
- Características :
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
adv_qnli
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:adv_glue/adv_qnli')
- Descripción :
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.
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'validation' | 148 |
- Características :
{
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
adv_rte
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:adv_glue/adv_rte')
- Descripción :
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.
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'validation' | 81 |
- Características :
{
"sentence1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}