Referências:
de
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:swiss_judgment_prediction/de')
- Descrição :
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.
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 9725 |
'train' | 35458 |
'validation' | 4705 |
- Características :
{
"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
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:swiss_judgment_prediction/fr')
- Descrição :
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.
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 6820 |
'train' | 21179 |
'validation' | 3095 |
- Características :
{
"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"
}
}
isto
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:swiss_judgment_prediction/it')
- Descrição :
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.
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 812 |
'train' | 3072 |
'validation' | 408 |
- Características :
{
"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"
}
}
todas as línguas
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:swiss_judgment_prediction/all_languages')
- Descrição :
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.
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 17357 |
'train' | 59709 |
'validation' | 8208 |
- Características :
{
"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"
}
}