参考：
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:circa')
- 说明：
The Circa (meaning ‘approximately’) dataset aims to help machine learning systems
to solve the problem of interpreting indirect answers to polar questions.
The dataset contains pairs of yes/no questions and indirect answers, together with
annotations for the interpretation of the answer. The data is collected in 10
different social conversational situations (eg. food preferences of a friend).
Note: There might be missing labels in the dataset and we have replaced them with -1.
The original dataset contains no train/dev/test splits.
- 许可：Creative Commons Attribution 4.0 License
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
34268 |
- 特征：
{
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question-X": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"canquestion-X": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer-Y": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"judgements": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"goldstandard1": {
"num_classes": 8,
"names": [
"Yes",
"No",
"In the middle, neither yes nor no",
"Probably yes / sometimes yes",
"Probably no",
"Yes, subject to some conditions",
"Other",
"I am not sure how X will interpret Y\u2019s answer"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"goldstandard2": {
"num_classes": 5,
"names": [
"Yes",
"No",
"In the middle, neither yes nor no",
"Yes, subject to some conditions",
"Other"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}