Referensi:
ynat
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/ynat')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 45678 |
'validation' | 9107 |
- Fitur :
{
"guid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 7,
"names": [
"IT\uacfc\ud559",
"\uacbd\uc81c",
"\uc0ac\ud68c",
"\uc0dd\ud65c\ubb38\ud654",
"\uc138\uacc4",
"\uc2a4\ud3ec\uce20",
"\uc815\uce58"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
st
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/sts')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 11668 |
'validation' | 519 |
- Fitur :
{
"guid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"label": {
"dtype": "float64",
"id": null,
"_type": "Value"
},
"real-label": {
"dtype": "float64",
"id": null,
"_type": "Value"
},
"binary-label": {
"num_classes": 2,
"names": [
"negative",
"positive"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
}
tidak
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/nli')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 24998 |
'validation' | 3000 |
- Fitur :
{
"guid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"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"
}
}
tidak
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/ner')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 21008 |
'validation' | 5000 |
- Fitur :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"tokens": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"ner_tags": {
"feature": {
"num_classes": 13,
"names": [
"B-DT",
"I-DT",
"B-LC",
"I-LC",
"B-OG",
"I-OG",
"B-PS",
"I-PS",
"B-QT",
"I-QT",
"B-TI",
"I-TI",
"O"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
ulang
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/re')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 32470 |
'validation' | 7765 |
- Fitur :
{
"guid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"subject_entity": {
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"start_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"type": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"object_entity": {
"word": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"start_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"end_idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"type": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"label": {
"num_classes": 30,
"names": [
"no_relation",
"org:dissolved",
"org:founded",
"org:place_of_headquarters",
"org:alternate_names",
"org:member_of",
"org:members",
"org:political/religious_affiliation",
"org:product",
"org:founded_by",
"org:top_members/employees",
"org:number_of_employees/members",
"per:date_of_birth",
"per:date_of_death",
"per:place_of_birth",
"per:place_of_death",
"per:place_of_residence",
"per:origin",
"per:employee_of",
"per:schools_attended",
"per:alternate_names",
"per:parents",
"per:children",
"per:siblings",
"per:spouse",
"per:other_family",
"per:colleagues",
"per:product",
"per:religion",
"per:title"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
dp
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/dp')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 10.000 |
'validation' | 2000 |
- Fitur :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"index": [
{
"dtype": "int32",
"id": null,
"_type": "Value"
}
],
"word_form": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"lemma": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"pos": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"head": [
{
"dtype": "int32",
"id": null,
"_type": "Value"
}
],
"deprel": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
mrc
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/mrc')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 17554 |
'validation' | 5841 |
- Fitur :
{
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"news_category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"guid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"is_impossible": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"question_type": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"answer_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
wos
Gunakan perintah berikut untuk memuat kumpulan data ini di TFDS:
ds = tfds.load('huggingface:klue/wos')
- Keterangan :
KLUE (Korean Language Understanding Evaluation)
Korean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language
understanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible
to anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain
unambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics
for every task, thus establishing fair comparison across Korean language models.
- Lisensi : CC-BY-SA-4.0
- Versi : 1.0.0
- Perpecahan :
Membelah | Contoh |
---|---|
'train' | 8000 |
'validation' | 1000 |
- Fitur :
{
"guid": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"domains": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"dialogue": [
{
"role": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"state": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
]
}