References:
cs-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt14/cs-en')
- Description:
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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
3003 |
'train' |
953621 |
'validation' |
3000 |
- Features:
{
"translation": {
"languages": [
"cs",
"en"
],
"id": null,
"_type": "Translation"
}
}
de-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt14/de-en')
- Description:
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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
3003 |
'train' |
4508785 |
'validation' |
3000 |
- Features:
{
"translation": {
"languages": [
"de",
"en"
],
"id": null,
"_type": "Translation"
}
}
fr-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt14/fr-en')
- Description:
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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
3003 |
'train' |
40836715 |
'validation' |
3000 |
- Features:
{
"translation": {
"languages": [
"fr",
"en"
],
"id": null,
"_type": "Translation"
}
}
hi-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt14/hi-en')
- Description:
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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
2507 |
'train' |
32863 |
'validation' |
520 |
- Features:
{
"translation": {
"languages": [
"hi",
"en"
],
"id": null,
"_type": "Translation"
}
}
ru-en
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:wmt14/ru-en')
- Description:
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)
- License: No known license
- Version: 1.0.0
- Splits:
Split | Examples |
---|---|
'test' |
3003 |
'train' |
1486965 |
'validation' |
3000 |
- Features:
{
"translation": {
"languages": [
"ru",
"en"
],
"id": null,
"_type": "Translation"
}
}