참고자료:
ko
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/en')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
다
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/da')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
드
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/de')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
NL
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/nl')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
세인트
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/sv')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 42490 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
bg
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/bg')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 15986 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
CS
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/cs')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 23187 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
시간
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/hr')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 7944 |
'validation' | 2500 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
pl
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/pl')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 23197 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
sk
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/sk')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 22971 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
sl
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/sl')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 23184 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
예
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/es')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 52785 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
정말로
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/fr')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
그것
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/it')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
태평양 표준시
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/pt')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 52370 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
로
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/ro')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 15921 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
등
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/et')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 23126 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
fi
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/fi')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 42497 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
후
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/hu')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 22664 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
lt
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/lt')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 23188 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
lv
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/lv')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 23208 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
엘자
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/el')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
산
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/mt')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 17521 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
모든 언어
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:multi_eurlex/all_languages')
- 설명 :
MultiEURLEX comprises 65k EU laws in 23 official EU languages (some low-ish resource).
Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU.
As with the English EURLEX, the goal is to predict the relevant EUROVOC concepts (labels);
this is multi-label classification task (given the text, predict multiple labels).
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 5000 |
'train' | 55000 |
'validation' | 5000 |
- 특징 :
{
"celex_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"languages": [
"en",
"da",
"de",
"nl",
"sv",
"bg",
"cs",
"hr",
"pl",
"sk",
"sl",
"es",
"fr",
"it",
"pt",
"ro",
"et",
"fi",
"hu",
"lt",
"lv",
"el",
"mt"
],
"id": null,
"_type": "Translation"
},
"labels": {
"feature": {
"num_classes": 21,
"names": [
"100149",
"100160",
"100148",
"100147",
"100152",
"100143",
"100156",
"100158",
"100154",
"100153",
"100142",
"100145",
"100150",
"100162",
"100159",
"100144",
"100151",
"100157",
"100161",
"100146",
"100155"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}