Referências:
cs-en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/cs-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 2983 |
'train' | 11046024 |
'validation' | 3005 |
- Características :
{
"translation": {
"languages": [
"cs",
"en"
],
"id": null,
"_type": "Translation"
}
}
de-en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/de-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 2998 |
'train' | 42271874 |
'validation' | 3004 |
- Características :
{
"translation": {
"languages": [
"de",
"en"
],
"id": null,
"_type": "Translation"
}
}
et-pt
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/et-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 2000 |
'train' | 2175873 |
'validation' | 2000 |
- Características :
{
"translation": {
"languages": [
"et",
"en"
],
"id": null,
"_type": "Translation"
}
}
fi-en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/fi-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 3000 |
'train' | 3280600 |
'validation' | 6004 |
- Características :
{
"translation": {
"languages": [
"fi",
"en"
],
"id": null,
"_type": "Translation"
}
}
kk-pt
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/kk-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 0 |
'train' | 0 |
'validation' | 0 |
- Características :
{
"translation": {
"languages": [
"kk",
"en"
],
"id": null,
"_type": "Translation"
}
}
ru-en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/ru-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 3000 |
'train' | 36858512 |
'validation' | 3001 |
- Características :
{
"translation": {
"languages": [
"ru",
"en"
],
"id": null,
"_type": "Translation"
}
}
tr-en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/tr-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 3000 |
'train' | 205756 |
'validation' | 3007 |
- Características :
{
"translation": {
"languages": [
"tr",
"en"
],
"id": null,
"_type": "Translation"
}
}
zh-en
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:wmt18/zh-en')
- Descrição :
Translate dataset based on the data from statmt.org.
Versions exists for the different years using a combination of multiple data
sources. The base `wmt_translate` allows you to create your own config to choose
your own data/language pair by creating a custom `datasets.translate.wmt.WmtConfig`.
config = datasets.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
datasets.Split.TRAIN: ["commoncrawl_frde"],
datasets.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = datasets.builder("wmt_translate", config=config)
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 3981 |
'train' | 25160346 |
'validation' | 2001 |
- Características :
{
"translation": {
"languages": [
"zh",
"en"
],
"id": null,
"_type": "Translation"
}
}