Bibliografia:
ynat
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/ynat')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 45678 |
'validation' | 9107 |
- Cechy :
{
"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
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/sts')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 11668 |
'validation' | 519 |
- Cechy :
{
"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"
}
}
}
nie
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/nli')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 24998 |
'validation' | 3000 |
- Cechy :
{
"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"
}
}
nie
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/ner')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 21008 |
'validation' | 5000 |
- Cechy :
{
"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"
}
}
Odnośnie
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/re')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 32470 |
'validation' | 7765 |
- Cechy :
{
"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
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/dp')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 10000 |
'validation' | 2000 |
- Cechy :
{
"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"
}
]
}
pan
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/mrc')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 17554 |
'validation' | 5841 |
- Cechy :
{
"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
Użyj następującego polecenia, aby załadować ten zestaw danych do TFDS:
ds = tfds.load('huggingface:klue/wos')
- Opis :
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.
- Licencja : CC-BY-SA-4.0
- Wersja : 1.0.0
- Podziały :
| Podział | Przykłady |
|---|---|
'train' | 8000 |
'validation' | 1000 |
- Cechy :
{
"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"
}
]
}
]
}