References:
nli
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kor_nlu/nli')
- Description:
The dataset contains data for bechmarking korean models on NLI and STS
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
4954 |
'train' |
550146 |
'validation' |
1570 |
- Features:
{
"premise": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"hypothesis": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 3,
"names": [
"entailment",
"neutral",
"contradiction"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
sts
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:kor_nlu/sts')
- Description:
The dataset contains data for bechmarking korean models on NLI and STS
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
1379 |
'train' |
5703 |
'validation' |
1471 |
- Features:
{
"genre": {
"num_classes": 4,
"names": [
"main-news",
"main-captions",
"main-forum",
"main-forums"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"filename": {
"num_classes": 9,
"names": [
"images",
"MSRpar",
"MSRvid",
"headlines",
"deft-forum",
"deft-news",
"track5.en-en",
"answers-forums",
"answer-answer"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"year": {
"num_classes": 7,
"names": [
"2017",
"2016",
"2013",
"2012train",
"2014",
"2015",
"2012test"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"score": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"sentence1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}