参考：
alignments
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/alignments')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'full' |
10834 |
- 特征：
{
"source_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target_id_list": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
multilingual
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/multilingual')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
13510 |
'train' |
7961 |
'validation' |
2672 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
multilingual_with_para
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/multilingual_with_para')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
13510 |
'train' |
7961 |
'validation' |
2672 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_test
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_test')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
19736 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_test
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_test')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'test' |
19736 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_bg
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_bg')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
2344 |
'validation' |
593 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_bg
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_bg')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
2344 |
'validation' |
593 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_hr
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_hr')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
2341 |
'validation' |
538 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_hr
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_hr')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
2341 |
'validation' |
538 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_hu
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_hu')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1731 |
'validation' |
536 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_hu
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_hu')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1731 |
'validation' |
536 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_it
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_it')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1010 |
'validation' |
246 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_it
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_it')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1010 |
'validation' |
246 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_mk
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_mk')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1665 |
'validation' |
410 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_mk
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_mk')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1665 |
'validation' |
410 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_pl
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_pl')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1577 |
'validation' |
394 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_pl
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_pl')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1577 |
'validation' |
394 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_pt
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_pt')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
740 |
'validation' |
184 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_pt
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_pt')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
740 |
'validation' |
184 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_sq
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_sq')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1194 |
'validation' |
311 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_sq
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_sq')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1194 |
'validation' |
311 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_sr
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_sr')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1323 |
'validation' |
314 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_sr
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_sr')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1323 |
'validation' |
314 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_tr
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_tr')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1571 |
'validation' |
393 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_tr
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_tr')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1571 |
'validation' |
393 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_vi
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_vi')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1955 |
'validation' |
488 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}
crosslingual_with_para_vi
使用以下命令在 TFDS 中加载此数据集：
ds = tfds.load('huggingface:exams/crosslingual_with_para_vi')
- 说明：
EXAMS is a benchmark dataset for multilingual and cross-lingual question answering from high school examinations.
It consists of more than 24,000 high-quality high school exam questions in 16 languages,
covering 8 language families and 24 school subjects from Natural Sciences and Social Sciences, among others.
- 许可：CC-BY-SA-4.0
- 版本：1.0.0
- 拆分：
| 拆分 | 样本 |
|---|---|
'train' |
1955 |
'validation' |
488 |
- 特征：
{
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"stem": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"choices": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"para": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
},
"answerKey": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"info": {
"grade": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"subject": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"language": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
}