wmt16_translate
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Warning: Manual download required. See instructions below.
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 tfds.translate.wmt.WmtConfig
.
config = tfds.translate.wmt.WmtConfig(
version="0.0.1",
language_pair=("fr", "de"),
subsets={
tfds.Split.TRAIN: ["commoncrawl_frde"],
tfds.Split.VALIDATION: ["euelections_dev2019"],
},
)
builder = tfds.builder("wmt_translate", config=config)
@ InProceedings { bojar - EtAl : 2016 : WMT1 ,
author = { Bojar , Ond
{ r } ej and Chatterjee , Rajen and Federmann , Christian and Graham , Yvette and Haddow , Barry and Huck , Matthias and Jimeno Yepes , Antonio and Koehn , Philipp and Logacheva , Varvara and Monz , Christof and Negri , Matteo and Neveol , Aurelie and Neves , Mariana and Popel , Martin and Post , Matt and Rubino , Raphael and Scarton , Carolina and Specia , Lucia and Turchi , Marco and Verspoor , Karin and Zampieri , Marcos },
title = { Findings of the 2016 Conference on Machine Translation },
booktitle = { Proceedings of the First Conference on Machine Translation },
month = { August },
year = { 2016 },
address = { Berlin , Germany },
publisher = { Association for Computational Linguistics },
pages = { 131 -- 198 },
url = { http : // www . aclweb . org / anthology / W / W16 / W16 - 2301 }
}
wmt16_translate/cs-en (default config)
Split
Examples
'test'
2,999
'train'
52,335,651
'validation'
2,656
Translation ({
'cs' : Text ( shape = (), dtype = string ),
'en' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
cs
Text
string
en
Text
string
wmt16_translate/de-en
Split
Examples
'test'
2,999
'train'
4,548,885
'validation'
2,169
Translation ({
'de' : Text ( shape = (), dtype = string ),
'en' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
de
Text
string
en
Text
string
wmt16_translate/fi-en
Config description : WMT 2016 fi-en translation task dataset.
Download size : 260.51 MiB
Dataset size : 624.31 MiB
Auto-cached
(documentation ):
No
Splits :
Split
Examples
'test'
6,000
'train'
2,073,394
'validation'
1,370
Translation ({
'en' : Text ( shape = (), dtype = string ),
'fi' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
en
Text
string
fi
Text
string
wmt16_translate/ro-en
Config description : WMT 2016 ro-en translation task dataset.
Download size : 273.83 MiB
Dataset size : 194.35 MiB
Auto-cached
(documentation ):
Yes (test, validation), Only when shuffle_files=False
(train)
Splits :
Split
Examples
'test'
1,999
'train'
610,320
'validation'
1,999
Translation ({
'en' : Text ( shape = (), dtype = string ),
'ro' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
en
Text
string
ro
Text
string
wmt16_translate/ru-en
Config description : WMT 2016 ru-en translation task dataset.
Download size : 993.38 MiB
Dataset size : 854.44 MiB
Auto-cached
(documentation ):
No
Splits :
Split
Examples
'test'
2,998
'train'
2,516,162
'validation'
2,818
Translation ({
'en' : Text ( shape = (), dtype = string ),
'ru' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
en
Text
string
ru
Text
string
wmt16_translate/tr-en
Split
Examples
'test'
3,000
'train'
205,756
'validation'
1,001
Translation ({
'en' : Text ( shape = (), dtype = string ),
'tr' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
en
Text
string
tr
Text
string
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2022-12-06 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2022-12-06 UTC."],[],[],null,["# wmt16_translate\n\n\u003cbr /\u003e\n\n| **Warning:** Manual download required. See instructions below.\n\n- **Description**:\n\nTranslate dataset based on the data from statmt.org.\n\nVersions exists for the different years using a combination of multiple data\nsources. The base `wmt_translate` allows you to create your own config to choose\nyour own data/language pair by creating a custom `tfds.translate.wmt.WmtConfig`. \n\n config = tfds.translate.wmt.WmtConfig(\n version=\"0.0.1\",\n language_pair=(\"fr\", \"de\"),\n subsets={\n tfds.Split.TRAIN: [\"commoncrawl_frde\"],\n tfds.Split.VALIDATION: [\"euelections_dev2019\"],\n },\n )\n builder = tfds.builder(\"wmt_translate\", config=config)\n\n- **Additional Documentation** :\n [Explore on Papers With Code\n north_east](https://paperswithcode.com/dataset/wmt-2016)\n\n- **Homepage** :\n \u003chttp://www.statmt.org/wmt16/translation-task.html\u003e\n\n- **Source code** :\n [`tfds.translate.Wmt16Translate`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/translate/wmt16.py)\n\n- **Versions**:\n\n - **`1.0.0`** (default): No release notes.\n- **Manual download instructions** : This dataset requires you to\n download the source data manually into `download_config.manual_dir`\n (defaults to `~/tensorflow_datasets/downloads/manual/`): \n\n Some of the wmt configs here, require a manual download.\n Please look into wmt.py to see the exact path (and file name) that has to\n be downloaded.\n\n- **Figure**\n ([tfds.show_examples](https://www.tensorflow.org/datasets/api_docs/python/tfds/visualization/show_examples)):\n Not supported.\n\n- **Citation**:\n\n @InProceedings{bojar-EtAl:2016:WMT1,\n author = {Bojar, Ond\n {r}ej and Chatterjee, Rajen and Federmann, Christian and Graham, Yvette and Haddow, Barry and Huck, Matthias and Jimeno Yepes, Antonio and Koehn, Philipp and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Neveol, Aurelie and Neves, Mariana and Popel, Martin and Post, Matt and Rubino, Raphael and Scarton, Carolina and Specia, Lucia and Turchi, Marco and Verspoor, Karin and Zampieri, Marcos},\n title = {Findings of the 2016 Conference on Machine Translation},\n booktitle = {Proceedings of the First Conference on Machine Translation},\n month = {August},\n year = {2016},\n address = {Berlin, Germany},\n publisher = {Association for Computational Linguistics},\n pages = {131--198},\n url = {http://www.aclweb.org/anthology/W/W16/W16-2301}\n }\n\nwmt16_translate/cs-en (default config)\n--------------------------------------\n\n- **Config description**: WMT 2016 cs-en translation task dataset.\n\n- **Download size** : `1.57 GiB`\n\n- **Dataset size** : `7.56 GiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|------------|\n| `'test'` | 2,999 |\n| `'train'` | 52,335,651 |\n| `'validation'` | 2,656 |\n\n- **Feature structure**:\n\n Translation({\n 'cs': Text(shape=(), dtype=string),\n 'en': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|-------------|-------|--------|-------------|\n| | Translation | | | |\n| cs | Text | | string | |\n| en | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('cs', 'en')`\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nwmt16_translate/de-en\n---------------------\n\n- **Config description**: WMT 2016 de-en translation task dataset.\n\n- **Download size** : `1.57 GiB`\n\n- **Dataset size** : `1.38 GiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|-----------|\n| `'test'` | 2,999 |\n| `'train'` | 4,548,885 |\n| `'validation'` | 2,169 |\n\n- **Feature structure**:\n\n Translation({\n 'de': Text(shape=(), dtype=string),\n 'en': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|-------------|-------|--------|-------------|\n| | Translation | | | |\n| de | Text | | string | |\n| en | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('de', 'en')`\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nwmt16_translate/fi-en\n---------------------\n\n- **Config description**: WMT 2016 fi-en translation task dataset.\n\n- **Download size** : `260.51 MiB`\n\n- **Dataset size** : `624.31 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|-----------|\n| `'test'` | 6,000 |\n| `'train'` | 2,073,394 |\n| `'validation'` | 1,370 |\n\n- **Feature structure**:\n\n Translation({\n 'en': Text(shape=(), dtype=string),\n 'fi': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|-------------|-------|--------|-------------|\n| | Translation | | | |\n| en | Text | | string | |\n| fi | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('fi', 'en')`\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nwmt16_translate/ro-en\n---------------------\n\n- **Config description**: WMT 2016 ro-en translation task dataset.\n\n- **Download size** : `273.83 MiB`\n\n- **Dataset size** : `194.35 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes (test, validation), Only when `shuffle_files=False` (train)\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'test'` | 1,999 |\n| `'train'` | 610,320 |\n| `'validation'` | 1,999 |\n\n- **Feature structure**:\n\n Translation({\n 'en': Text(shape=(), dtype=string),\n 'ro': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|-------------|-------|--------|-------------|\n| | Translation | | | |\n| en | Text | | string | |\n| ro | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('ro', 'en')`\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nwmt16_translate/ru-en\n---------------------\n\n- **Config description**: WMT 2016 ru-en translation task dataset.\n\n- **Download size** : `993.38 MiB`\n\n- **Dataset size** : `854.44 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|-----------|\n| `'test'` | 2,998 |\n| `'train'` | 2,516,162 |\n| `'validation'` | 2,818 |\n\n- **Feature structure**:\n\n Translation({\n 'en': Text(shape=(), dtype=string),\n 'ru': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|-------------|-------|--------|-------------|\n| | Translation | | | |\n| en | Text | | string | |\n| ru | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('ru', 'en')`\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nwmt16_translate/tr-en\n---------------------\n\n- **Config description**: WMT 2016 tr-en translation task dataset.\n\n- **Download size** : `59.32 MiB`\n\n- **Dataset size** : `63.21 MiB`\n\n- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n Yes\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|----------|\n| `'test'` | 3,000 |\n| `'train'` | 205,756 |\n| `'validation'` | 1,001 |\n\n- **Feature structure**:\n\n Translation({\n 'en': Text(shape=(), dtype=string),\n 'tr': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|-------------|-------|--------|-------------|\n| | Translation | | | |\n| en | Text | | string | |\n| tr | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('tr', 'en')`\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples..."]]