wmt15_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 : 2015 : WMT ,
author = { Bojar , Ond
{ r } ej and Chatterjee , Rajen and Federmann , Christian and Haddow , Barry and Huck , Matthias and Hokamp , Chris and Koehn , Philipp and Logacheva , Varvara and Monz , Christof and Negri , Matteo and Post , Matt and Scarton , Carolina and Specia , Lucia and Turchi , Marco },
title = { Findings of the 2015 Workshop on Statistical Machine Translation },
booktitle = { Proceedings of the Tenth Workshop on Statistical Machine Translation },
month = { September },
year = { 2015 },
address = { Lisbon , Portugal },
publisher = { Association for Computational Linguistics },
pages = { 1 -- 46 },
url = { http : // aclweb . org / anthology / W15 - 3001 }
}
wmt15_translate/cs-en (default config)
Split
Examples
'test'
2,656
'train'
15,793,126
'validation'
3,003
Translation ({
'cs' : Text ( shape = (), dtype = string ),
'en' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
cs
Text
string
en
Text
string
wmt15_translate/de-en
Split
Examples
'test'
2,169
'train'
4,522,998
'validation'
3,003
Translation ({
'de' : Text ( shape = (), dtype = string ),
'en' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
de
Text
string
en
Text
string
wmt15_translate/fi-en
Split
Examples
'test'
1,370
'train'
2,073,394
'validation'
1,500
Translation ({
'en' : Text ( shape = (), dtype = string ),
'fi' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
en
Text
string
fi
Text
string
wmt15_translate/fr-en
Split
Examples
'test'
1,500
'train'
40,853,298
'validation'
4,503
Translation ({
'en' : Text ( shape = (), dtype = string ),
'fr' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
en
Text
string
fr
Text
string
wmt15_translate/ru-en
Split
Examples
'test'
2,818
'train'
2,495,081
'validation'
3,003
Translation ({
'en' : Text ( shape = (), dtype = string ),
'ru' : Text ( shape = (), dtype = string ),
})
Feature
Class
Shape
Dtype
Description
Translation
en
Text
string
ru
Text
string
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Last updated 2022-12-06 UTC.
[null,null,["Last updated 2022-12-06 UTC."],[],[],null,["# wmt15_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-2015)\n\n- **Homepage** :\n \u003chttp://www.statmt.org/wmt15/translation-task.html\u003e\n\n- **Source code** :\n [`tfds.translate.Wmt15Translate`](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/translate/wmt15.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- **Auto-cached**\n ([documentation](https://www.tensorflow.org/datasets/performances#auto-caching)):\n No\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:2015:WMT,\n author = {Bojar, Ond\n {r}ej and Chatterjee, Rajen and Federmann, Christian and Haddow, Barry and Huck, Matthias and Hokamp, Chris and Koehn, Philipp and Logacheva, Varvara and Monz, Christof and Negri, Matteo and Post, Matt and Scarton, Carolina and Specia, Lucia and Turchi, Marco},\n title = {Findings of the 2015 Workshop on Statistical Machine Translation},\n booktitle = {Proceedings of the Tenth Workshop on Statistical Machine Translation},\n month = {September},\n year = {2015},\n address = {Lisbon, Portugal},\n publisher = {Association for Computational Linguistics},\n pages = {1--46},\n url = {http://aclweb.org/anthology/W15-3001}\n }\n\nwmt15_translate/cs-en (default config)\n--------------------------------------\n\n- **Config description**: WMT 2015 cs-en translation task dataset.\n\n- **Download size** : `1.62 GiB`\n\n- **Dataset size** : `2.89 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|------------|\n| `'test'` | 2,656 |\n| `'train'` | 15,793,126 |\n| `'validation'` | 3,003 |\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\nwmt15_translate/de-en\n---------------------\n\n- **Config description**: WMT 2015 de-en translation task dataset.\n\n- **Download size** : `1.62 GiB`\n\n- **Dataset size** : `1.37 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|-----------|\n| `'test'` | 2,169 |\n| `'train'` | 4,522,998 |\n| `'validation'` | 3,003 |\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\nwmt15_translate/fi-en\n---------------------\n\n- **Config description**: WMT 2015 fi-en translation task dataset.\n\n- **Download size** : `260.51 MiB`\n\n- **Dataset size** : `623.22 MiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|-----------|\n| `'test'` | 1,370 |\n| `'train'` | 2,073,394 |\n| `'validation'` | 1,500 |\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\nwmt15_translate/fr-en\n---------------------\n\n- **Config description**: WMT 2015 fr-en translation task dataset.\n\n- **Download size** : `6.24 GiB`\n\n- **Dataset size** : `14.65 GiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|------------|\n| `'test'` | 1,500 |\n| `'train'` | 40,853,298 |\n| `'validation'` | 4,503 |\n\n- **Feature structure**:\n\n Translation({\n 'en': Text(shape=(), dtype=string),\n 'fr': Text(shape=(), dtype=string),\n })\n\n- **Feature documentation**:\n\n| Feature | Class | Shape | Dtype | Description |\n|---------|-------------|-------|--------|-------------|\n| | Translation | | | |\n| en | Text | | string | |\n| fr | Text | | string | |\n\n- **Supervised keys** (See\n [`as_supervised` doc](https://www.tensorflow.org/datasets/api_docs/python/tfds/load#args)):\n `('fr', 'en')`\n\n- **Examples**\n ([tfds.as_dataframe](https://www.tensorflow.org/datasets/api_docs/python/tfds/as_dataframe)):\n\nDisplay examples... \n\nwmt15_translate/ru-en\n---------------------\n\n- **Config description**: WMT 2015 ru-en translation task dataset.\n\n- **Download size** : `1.02 GiB`\n\n- **Dataset size** : `843.90 MiB`\n\n- **Splits**:\n\n| Split | Examples |\n|----------------|-----------|\n| `'test'` | 2,818 |\n| `'train'` | 2,495,081 |\n| `'validation'` | 3,003 |\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..."]]