References:
alleged-violation-prediction
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:ecthr_cases/alleged-violation-prediction')
- Description:
The ECtHR Cases dataset is designed for experimentation of neural judgment prediction and rationale extraction considering ECtHR cases.
- License: CC BY-NC-SA (Creative Commons / Attribution-NonCommercial-ShareAlike)
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1000 |
'train' |
9000 |
'validation' |
1000 |
- Features:
{
"facts": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"labels": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"silver_rationales": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"gold_rationales": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
violation-prediction
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:ecthr_cases/violation-prediction')
- Description:
The ECtHR Cases dataset is designed for experimentation of neural judgment prediction and rationale extraction considering ECtHR cases.
- License: CC BY-NC-SA (Creative Commons / Attribution-NonCommercial-ShareAlike)
- Version: 1.1.0
- Splits:
| Split | Examples |
|---|---|
'test' |
1000 |
'train' |
9000 |
'validation' |
1000 |
- Features:
{
"facts": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"labels": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"silver_rationales": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}