Les références:
de
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:swiss_judgment_prediction/de')
- Description :
Swiss-Judgment-Prediction is a multilingual, diachronic dataset of 85K Swiss Federal Supreme Court (FSCS) cases annotated with
the respective binarized judgment outcome (approval/dismissal), posing a challenging text classification task.
We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case,
to promote robustness and fairness studies on the critical area of legal NLP.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 9725 |
'train' | 35458 |
'validation' | 4705 |
- Caractéristiques :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"year": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"dismissal",
"approval"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"region": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"canton": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"legal area": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
fr
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:swiss_judgment_prediction/fr')
- Description :
Swiss-Judgment-Prediction is a multilingual, diachronic dataset of 85K Swiss Federal Supreme Court (FSCS) cases annotated with
the respective binarized judgment outcome (approval/dismissal), posing a challenging text classification task.
We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case,
to promote robustness and fairness studies on the critical area of legal NLP.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 6820 |
'train' | 21179 |
'validation' | 3095 |
- Caractéristiques :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"year": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"dismissal",
"approval"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"region": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"canton": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"legal area": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
il
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:swiss_judgment_prediction/it')
- Description :
Swiss-Judgment-Prediction is a multilingual, diachronic dataset of 85K Swiss Federal Supreme Court (FSCS) cases annotated with
the respective binarized judgment outcome (approval/dismissal), posing a challenging text classification task.
We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case,
to promote robustness and fairness studies on the critical area of legal NLP.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 812 |
'train' | 3072 |
'validation' | 408 |
- Caractéristiques :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"year": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"dismissal",
"approval"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"region": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"canton": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"legal area": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
toutes les langues
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:swiss_judgment_prediction/all_languages')
- Description :
Swiss-Judgment-Prediction is a multilingual, diachronic dataset of 85K Swiss Federal Supreme Court (FSCS) cases annotated with
the respective binarized judgment outcome (approval/dismissal), posing a challenging text classification task.
We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case,
to promote robustness and fairness studies on the critical area of legal NLP.
- Licence : Aucune licence connue
- Version : 1.0.0
- Divisions :
| Diviser | Exemples |
|---|---|
'test' | 17357 |
'train' | 59709 |
'validation' | 8208 |
- Caractéristiques :
{
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"year": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"dismissal",
"approval"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"region": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"canton": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"legal area": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}