Referências:
mlsum_de
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/mlsum_de')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_covid' | 5058 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 10695 |
'train' | 220748 |
'validation' | 11392 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
mlsum_es
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/mlsum_es')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_covid' | 1938 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 13366 |
'train' | 259888 |
'validation' | 9977 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"topic": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_es_en_v0
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_es_en_v0')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 19797 |
'train' | 79515 |
'validation' | 8835 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_ru_en_v0
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_ru_en_v0')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 9094 |
'train' | 36898 |
'validation' | 4100 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_tr_en_v0
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_tr_en_v0')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 808 |
'train' | 3193 |
'validation' | 355 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_vi_en_v0
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_vi_en_v0')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 2167 |
'train' | 9206 |
'validation' | 1023 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_arabic_ar
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_arabic_ar')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 5841 |
'train' | 20441 |
'validation' | 2919 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"ar",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"ar",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_chinese_zh
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_chinese_zh')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 3775 |
'train' | 13211 |
'validation' | 1886 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"zh",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"zh",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_czech_cs
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_czech_cs')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 1438 |
'train' | 5033 |
'validation' | 718 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"cs",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"cs",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_dutch_nl
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_dutch_nl')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 6248 |
'train' | 21866 |
'validation' | 3123 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"nl",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"nl",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_english_en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_english_en')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 28614 |
'train' | 99020 |
'validation' | 13823 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"en",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"en",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_french_fr
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_french_fr')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 12731 |
'train' | 44556 |
'validation' | 6364 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"fr",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"fr",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_german_de
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_german_de')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 11669 |
'train' | 40839 |
'validation' | 5833 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"de",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"de",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_hindi_hi
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_hindi_hi')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 1984 |
'train' | 6942 |
'validation' | 991 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"hi",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"hi",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_indonesian_id
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_indonesian_id')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 9497 |
'train' | 33237 |
'validation' | 4747 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"id",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"id",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_italian_it
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_italian_it')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 10189 |
'train' | 35661 |
'validation' | 5093 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"it",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"it",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_japanese_ja
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_japanese_ja')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 2530 |
'train' | 8853 |
'validation' | 1264 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"ja",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"ja",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_korean_ko
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_korean_ko')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 2436 |
'train' | 8524 |
'validation' | 1216 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"ko",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"ko",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_portuguese_pt
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_portuguese_pt')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 16331 |
'train' | 57159 |
'validation' | 8165 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"pt",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"pt",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_russian_ru
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_russian_ru')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 10580 |
'train' | 37028 |
'validation' | 5288 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"ru",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"ru",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_spanish_es
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_spanish_es')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 22632 |
'train' | 79212 |
'validation' | 11316 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"es",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"es",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_thai_th
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_thai_th')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 2950 |
'train' | 10325 |
'validation' | 1475 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"th",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"th",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_turkish_tr
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_turkish_tr')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 900 |
'train' | 3148 |
'validation' | 449 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"tr",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"tr",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
wiki_lingua_vietnamese_vi
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_lingua_vietnamese_vi')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 3917 |
'train' | 13707 |
'validation' | 1957 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source_aligned": {
"languages": [
"vi",
"en"
],
"id": null,
"_type": "Translation"
},
"target_aligned": {
"languages": [
"vi",
"en"
],
"id": null,
"_type": "Translation"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
xsum
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/xsum')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_backtranslation' | 500 |
'challenge_test_bfp_02' | 500 |
'challenge_test_bfp_05' | 500 |
'challenge_test_covid' | 401 |
'challenge_test_nopunc' | 500 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 1166 |
'train' | 23206 |
'validation' | 1117 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"xsum_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"document": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
common_gen
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/common_gen')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_scramble' | 500 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 1497 |
'train' | 67389 |
'validation' | 993 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"concept_set_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"concepts": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
cs_restaurants
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/cs_restaurants')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_scramble' | 500 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 842 |
'train' | 3569 |
'validation' | 781 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dialog_act": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dialog_act_delexicalized": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target_delexicalized": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
dardo
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/dart')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 5097 |
'train' | 62659 |
'validation' | 2768 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dart_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"tripleset": [
[
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
],
"subtree_was_extended": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"target_sources": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
e2e_nlg
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/e2e_nlg')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_scramble' | 500 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 4693 |
'train' | 33525 |
'validation' | 4299 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"meaning_representation": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
totto
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/totto')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_scramble' | 500 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 7700 |
'train' | 121153 |
'validation' | 7700 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"totto_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"table_page_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"table_webpage_url": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"table_section_title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"table_section_text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"table": [
[
{
"column_span": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"is_header": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"row_span": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"value": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
]
],
"highlighted_cells": [
[
{
"dtype": "int32",
"id": null,
"_type": "Value"
}
]
],
"example_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_annotations": [
{
"original_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_after_deletion": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"sentence_after_ambiguity": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"final_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
],
"overlap_subset": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
web_nlg_en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/web_nlg_en')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_numbers' | 500 |
'challenge_test_scramble' | 500 |
'challenge_train_sample' | 502 |
'challenge_validation_sample' | 499 |
'test' | 1779 |
'train' | 35426 |
'validation' | 1667 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"webnlg_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
web_nlg_ru
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/web_nlg_ru')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_scramble' | 500 |
'challenge_train_sample' | 501 |
'challenge_validation_sample' | 500 |
'test' | 1102 |
'train' | 14630 |
'validation' | 790 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"category": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"webnlg_id": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
wiki_auto_asset_turk
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/wiki_auto_asset_turk')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_asset_backtranslation' | 359 |
'challenge_test_asset_bfp02' | 359 |
'challenge_test_asset_bfp05' | 359 |
'challenge_test_asset_nopunc' | 359 |
'challenge_test_turk_backtranslation' | 359 |
'challenge_test_turk_bfp02' | 359 |
'challenge_test_turk_bfp05' | 359 |
'challenge_test_turk_nopunc' | 359 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test_asset' | 359 |
'test_turk' | 359 |
'train' | 483801 |
'validation' | 20.000 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
schema_guided_dialog
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:gem/schema_guided_dialog')
- Descrição :
GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation,
both through human annotations and automated Metrics.
GEM aims to:
- measure NLG progress across 13 datasets spanning many NLG tasks and languages.
- provide an in-depth analysis of data and models presented via data statements and challenge sets.
- develop standards for evaluation of generated text using both automated and human metrics.
It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development
by extending existing data or developing datasets for additional languages.
- Licença : CC-BY-SA-4.0
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'challenge_test_backtranslation' | 500 |
'challenge_test_bfp02' | 500 |
'challenge_test_bfp05' | 500 |
'challenge_test_nopunc' | 500 |
'challenge_test_scramble' | 500 |
'challenge_train_sample' | 500 |
'challenge_validation_sample' | 500 |
'test' | 10.000 |
'train' | 164982 |
'validation' | 10.000 |
- Características :
{
"gem_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"gem_parent_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"dialog_acts": [
{
"act": {
"num_classes": 18,
"names": [
"AFFIRM",
"AFFIRM_INTENT",
"CONFIRM",
"GOODBYE",
"INFORM",
"INFORM_COUNT",
"INFORM_INTENT",
"NEGATE",
"NEGATE_INTENT",
"NOTIFY_FAILURE",
"NOTIFY_SUCCESS",
"OFFER",
"OFFER_INTENT",
"REQUEST",
"REQUEST_ALTS",
"REQ_MORE",
"SELECT",
"THANK_YOU"
],
"id": null,
"_type": "ClassLabel"
},
"slot": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"values": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}
],
"context": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
],
"dialog_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"service": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"turn_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"prompt": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"references": [
{
"dtype": "string",
"id": null,
"_type": "Value"
}
]
}