参考：
plain_text
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:hans/plain_text')
- 说明：
The HANS dataset is an NLI evaluation set that tests specific hypotheses about invalid heuristics that NLI models are likely to learn.
- 许可：无已知许可
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
30000 |
'validation' |
30000 |
- 特征：
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"entailment",
"non-entailment"
],
"id": null,
"_type": "ClassLabel"
},
"parse_premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"parse_hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"binary_parse_premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"binary_parse_hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"heuristic": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"subcase": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"template": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}