Références :
winogrande_xs
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:winogrande/winogrande_xs')
- Description :
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
- Licence : Aucune licence connue
- Version : 1.1.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1767 |
'train' | 160 |
'validation' | 1267 |
- Caractéristiques :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
winogrande_s
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:winogrande/winogrande_s')
- Description :
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
- Licence : Aucune licence connue
- Version : 1.1.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1767 |
'train' | 640 |
'validation' | 1267 |
- Caractéristiques :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
winogrande_m
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:winogrande/winogrande_m')
- Description :
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
- Licence : Aucune licence connue
- Version : 1.1.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1767 |
'train' | 2558 |
'validation' | 1267 |
- Caractéristiques :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
winogrande_l
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:winogrande/winogrande_l')
- Description :
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
- Licence : Aucune licence connue
- Version : 1.1.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1767 |
'train' | 10234 |
'validation' | 1267 |
- Caractéristiques :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
winogrande_xl
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:winogrande/winogrande_xl')
- Description :
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
- Licence : Aucune licence connue
- Version : 1.1.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1767 |
'train' | 40398 |
'validation' | 1267 |
- Caractéristiques :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
winogrande_debiased
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:winogrande/winogrande_debiased')
- Description :
WinoGrande is a new collection of 44k problems, inspired by Winograd Schema Challenge (Levesque, Davis, and Morgenstern
2011), but adjusted to improve the scale and robustness against the dataset-specific bias. Formulated as a
fill-in-a-blank task with binary options, the goal is to choose the right option for a given sentence which requires
commonsense reasoning.
- Licence : Aucune licence connue
- Version : 1.1.0
- Divisions :
Diviser | Exemples |
---|---|
'test' | 1767 |
'train' | 9248 |
'validation' | 1267 |
- Caractéristiques :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"option2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}