参考：
HDA hindi nli
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:hda_nli_hindi/HDA hindi nli')
- 说明：
This dataset is a recasted version of the Hindi Discourse Analysis Dataset used to train models for Natural Language Inference Tasks in Low-Resource Languages like Hindi.
- 许可：MIT License
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
9970 |
'train' |
31892 |
'validation' |
9460 |
- 特征：
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"not-entailment",
"entailment"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"topic": {
"num_classes": 5,
"names": [
"Argumentative",
"Descriptive",
"Dialogic",
"Informative",
"Narrative"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
hda nli hindi
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:hda_nli_hindi/hda nli hindi')
- 说明：
This dataset is a recasted version of the Hindi Discourse Analysis Dataset used to train models for Natural Language Inference Tasks in Low-Resource Languages like Hindi.
- 许可：MIT License
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
9970 |
'train' |
31892 |
'validation' |
9460 |
- 特征：
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"not-entailment",
"entailment"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"topic": {
"num_classes": 5,
"names": [
"Argumentative",
"Descriptive",
"Dialogic",
"Informative",
"Narrative"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}