참고자료:
발견
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:discovery/discovery')
- 설명 :
Discourse marker prediction with 174 different markers
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 87000 |
'train' | 1566000 |
'validation' | 87000 |
- 특징 :
{
"sentence1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 174,
"names": [
"[no-conn]",
"absolutely,",
"accordingly",
"actually,",
"additionally",
"admittedly,",
"afterward",
"again,",
"already,",
"also,",
"alternately,",
"alternatively",
"although,",
"altogether,",
"amazingly,",
"and",
"anyway,",
"apparently,",
"arguably,",
"as_a_result,",
"basically,",
"because_of_that",
"because_of_this",
"besides,",
"but",
"by_comparison,",
"by_contrast,",
"by_doing_this,",
"by_then",
"certainly,",
"clearly,",
"coincidentally,",
"collectively,",
"consequently",
"conversely",
"curiously,",
"currently,",
"elsewhere,",
"especially,",
"essentially,",
"eventually,",
"evidently,",
"finally,",
"first,",
"firstly,",
"for_example",
"for_instance",
"fortunately,",
"frankly,",
"frequently,",
"further,",
"furthermore",
"generally,",
"gradually,",
"happily,",
"hence,",
"here,",
"historically,",
"honestly,",
"hopefully,",
"however",
"ideally,",
"immediately,",
"importantly,",
"in_contrast,",
"in_fact,",
"in_other_words",
"in_particular,",
"in_short,",
"in_sum,",
"in_the_end,",
"in_the_meantime,",
"in_turn,",
"incidentally,",
"increasingly,",
"indeed,",
"inevitably,",
"initially,",
"instead,",
"interestingly,",
"ironically,",
"lastly,",
"lately,",
"later,",
"likewise,",
"locally,",
"luckily,",
"maybe,",
"meaning,",
"meantime,",
"meanwhile,",
"moreover",
"mostly,",
"namely,",
"nationally,",
"naturally,",
"nevertheless",
"next,",
"nonetheless",
"normally,",
"notably,",
"now,",
"obviously,",
"occasionally,",
"oddly,",
"often,",
"on_the_contrary,",
"on_the_other_hand",
"once,",
"only,",
"optionally,",
"or,",
"originally,",
"otherwise,",
"overall,",
"particularly,",
"perhaps,",
"personally,",
"plus,",
"preferably,",
"presently,",
"presumably,",
"previously,",
"probably,",
"rather,",
"realistically,",
"really,",
"recently,",
"regardless,",
"remarkably,",
"sadly,",
"second,",
"secondly,",
"separately,",
"seriously,",
"significantly,",
"similarly,",
"simultaneously",
"slowly,",
"so,",
"sometimes,",
"soon,",
"specifically,",
"still,",
"strangely,",
"subsequently,",
"suddenly,",
"supposedly,",
"surely,",
"surprisingly,",
"technically,",
"thankfully,",
"then,",
"theoretically,",
"thereafter,",
"thereby,",
"therefore",
"third,",
"thirdly,",
"this,",
"though,",
"thus,",
"together,",
"traditionally,",
"truly,",
"truthfully,",
"typically,",
"ultimately,",
"undoubtedly,",
"unfortunately,",
"unsurprisingly,",
"usually,",
"well,",
"yet,"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
발견작은
TFDS에 이 데이터세트를 로드하려면 다음 명령어를 사용하세요.
ds = tfds.load('huggingface:discovery/discoverysmall')
- 설명 :
Discourse marker prediction with 174 different markers
- 라이센스 : 알려진 라이센스 없음
- 버전 : 1.0.0
- 분할 :
| 나뉘다 | 예 |
|---|---|
'test' | 869 |
'train' | 15662 |
'validation' | 871 |
- 특징 :
{
"sentence1": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence2": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 174,
"names": [
"[no-conn]",
"absolutely,",
"accordingly",
"actually,",
"additionally",
"admittedly,",
"afterward",
"again,",
"already,",
"also,",
"alternately,",
"alternatively",
"although,",
"altogether,",
"amazingly,",
"and",
"anyway,",
"apparently,",
"arguably,",
"as_a_result,",
"basically,",
"because_of_that",
"because_of_this",
"besides,",
"but",
"by_comparison,",
"by_contrast,",
"by_doing_this,",
"by_then",
"certainly,",
"clearly,",
"coincidentally,",
"collectively,",
"consequently",
"conversely",
"curiously,",
"currently,",
"elsewhere,",
"especially,",
"essentially,",
"eventually,",
"evidently,",
"finally,",
"first,",
"firstly,",
"for_example",
"for_instance",
"fortunately,",
"frankly,",
"frequently,",
"further,",
"furthermore",
"generally,",
"gradually,",
"happily,",
"hence,",
"here,",
"historically,",
"honestly,",
"hopefully,",
"however",
"ideally,",
"immediately,",
"importantly,",
"in_contrast,",
"in_fact,",
"in_other_words",
"in_particular,",
"in_short,",
"in_sum,",
"in_the_end,",
"in_the_meantime,",
"in_turn,",
"incidentally,",
"increasingly,",
"indeed,",
"inevitably,",
"initially,",
"instead,",
"interestingly,",
"ironically,",
"lastly,",
"lately,",
"later,",
"likewise,",
"locally,",
"luckily,",
"maybe,",
"meaning,",
"meantime,",
"meanwhile,",
"moreover",
"mostly,",
"namely,",
"nationally,",
"naturally,",
"nevertheless",
"next,",
"nonetheless",
"normally,",
"notably,",
"now,",
"obviously,",
"occasionally,",
"oddly,",
"often,",
"on_the_contrary,",
"on_the_other_hand",
"once,",
"only,",
"optionally,",
"or,",
"originally,",
"otherwise,",
"overall,",
"particularly,",
"perhaps,",
"personally,",
"plus,",
"preferably,",
"presently,",
"presumably,",
"previously,",
"probably,",
"rather,",
"realistically,",
"really,",
"recently,",
"regardless,",
"remarkably,",
"sadly,",
"second,",
"secondly,",
"separately,",
"seriously,",
"significantly,",
"similarly,",
"simultaneously",
"slowly,",
"so,",
"sometimes,",
"soon,",
"specifically,",
"still,",
"strangely,",
"subsequently,",
"suddenly,",
"supposedly,",
"surely,",
"surprisingly,",
"technically,",
"thankfully,",
"then,",
"theoretically,",
"thereafter,",
"thereby,",
"therefore",
"third,",
"thirdly,",
"this,",
"though,",
"thus,",
"together,",
"traditionally,",
"truly,",
"truthfully,",
"typically,",
"ultimately,",
"undoubtedly,",
"unfortunately,",
"unsurprisingly,",
"usually,",
"well,",
"yet,"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"idx": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}