system HF staff commited on
Commit
5e08fe2
1 Parent(s): da98209

Update files from the datasets library (from 1.4.0)

Browse files

Release notes: https://github.com/huggingface/datasets/releases/tag/1.4.0

Files changed (3) hide show
  1. README.md +21 -21
  2. dataset_infos.json +1 -1
  3. wmt_utils.py +64 -62
README.md CHANGED
@@ -27,7 +27,7 @@
27
  - [Citation Information](#citation-information)
28
  - [Contributions](#contributions)
29
 
30
- ## [Dataset Description](#dataset-description)
31
 
32
  - **Homepage:** [http://www.statmt.org/wmt16/translation-task.html](http://www.statmt.org/wmt16/translation-task.html)
33
  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
@@ -37,7 +37,7 @@
37
  - **Size of the generated dataset:** 283.51 MB
38
  - **Total amount of disk used:** 1895.01 MB
39
 
40
- ### [Dataset Summary](#dataset-summary)
41
 
42
  Translate dataset based on the data from statmt.org.
43
 
@@ -57,19 +57,19 @@ config = datasets.wmt.WmtConfig(
57
  builder = datasets.builder("wmt_translate", config=config)
58
  ```
59
 
60
- ### [Supported Tasks](#supported-tasks)
61
 
62
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
63
 
64
- ### [Languages](#languages)
65
 
66
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
67
 
68
- ## [Dataset Structure](#dataset-structure)
69
 
70
  We show detailed information for up to 5 configurations of the dataset.
71
 
72
- ### [Data Instances](#data-instances)
73
 
74
  #### cs-en
75
 
@@ -82,62 +82,62 @@ An example of 'validation' looks as follows.
82
 
83
  ```
84
 
85
- ### [Data Fields](#data-fields)
86
 
87
  The data fields are the same among all splits.
88
 
89
  #### cs-en
90
  - `translation`: a multilingual `string` variable, with possible languages including `cs`, `en`.
91
 
92
- ### [Data Splits Sample Size](#data-splits-sample-size)
93
 
94
  |name |train |validation|test|
95
  |-----|-----:|---------:|---:|
96
  |cs-en|997240| 2656|2999|
97
 
98
- ## [Dataset Creation](#dataset-creation)
99
 
100
- ### [Curation Rationale](#curation-rationale)
101
 
102
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
103
 
104
- ### [Source Data](#source-data)
105
 
106
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
107
 
108
- ### [Annotations](#annotations)
109
 
110
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
111
 
112
- ### [Personal and Sensitive Information](#personal-and-sensitive-information)
113
 
114
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
115
 
116
- ## [Considerations for Using the Data](#considerations-for-using-the-data)
117
 
118
- ### [Social Impact of Dataset](#social-impact-of-dataset)
119
 
120
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
121
 
122
- ### [Discussion of Biases](#discussion-of-biases)
123
 
124
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
125
 
126
- ### [Other Known Limitations](#other-known-limitations)
127
 
128
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
129
 
130
- ## [Additional Information](#additional-information)
131
 
132
- ### [Dataset Curators](#dataset-curators)
133
 
134
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
135
 
136
- ### [Licensing Information](#licensing-information)
137
 
138
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
139
 
140
- ### [Citation Information](#citation-information)
141
 
142
  ```
143
 
27
  - [Citation Information](#citation-information)
28
  - [Contributions](#contributions)
29
 
30
+ ## Dataset Description
31
 
32
  - **Homepage:** [http://www.statmt.org/wmt16/translation-task.html](http://www.statmt.org/wmt16/translation-task.html)
33
  - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
37
  - **Size of the generated dataset:** 283.51 MB
38
  - **Total amount of disk used:** 1895.01 MB
39
 
40
+ ### Dataset Summary
41
 
42
  Translate dataset based on the data from statmt.org.
43
 
57
  builder = datasets.builder("wmt_translate", config=config)
58
  ```
59
 
60
+ ### Supported Tasks
61
 
62
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
63
 
64
+ ### Languages
65
 
66
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
67
 
68
+ ## Dataset Structure
69
 
70
  We show detailed information for up to 5 configurations of the dataset.
71
 
72
+ ### Data Instances
73
 
74
  #### cs-en
75
 
82
 
83
  ```
84
 
85
+ ### Data Fields
86
 
87
  The data fields are the same among all splits.
88
 
89
  #### cs-en
90
  - `translation`: a multilingual `string` variable, with possible languages including `cs`, `en`.
91
 
92
+ ### Data Splits Sample Size
93
 
94
  |name |train |validation|test|
95
  |-----|-----:|---------:|---:|
96
  |cs-en|997240| 2656|2999|
97
 
98
+ ## Dataset Creation
99
 
100
+ ### Curation Rationale
101
 
102
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
103
 
104
+ ### Source Data
105
 
106
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
107
 
108
+ ### Annotations
109
 
110
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
111
 
112
+ ### Personal and Sensitive Information
113
 
114
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
115
 
116
+ ## Considerations for Using the Data
117
 
118
+ ### Social Impact of Dataset
119
 
120
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
121
 
122
+ ### Discussion of Biases
123
 
124
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
125
 
126
+ ### Other Known Limitations
127
 
128
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
129
 
130
+ ## Additional Information
131
 
132
+ ### Dataset Curators
133
 
134
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
135
 
136
+ ### Licensing Information
137
 
138
  [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
139
 
140
+ ### Citation Information
141
 
142
  ```
143
 
dataset_infos.json CHANGED
@@ -1 +1 @@
1
- {"cs-en": {"description": "Translate 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 `datasets.translate.wmt.WmtConfig`.\n\n```\nconfig = datasets.wmt.WmtConfig(\n version=\"0.0.1\",\n language_pair=(\"fr\", \"de\"),\n subsets={\n datasets.Split.TRAIN: [\"commoncrawl_frde\"],\n datasets.Split.VALIDATION: [\"euelections_dev2019\"],\n },\n)\nbuilder = datasets.builder(\"wmt_translate\", config=config)\n```\n\n", "citation": "\n@InProceedings{bojar-EtAl:2016:WMT1,\n author = {Bojar, Ond\u000b{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", "homepage": "http://www.statmt.org/wmt16/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt16", "config_name": "cs-en", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 707870, "num_examples": 2999, "dataset_name": "wmt16"}, "train": {"name": "train", "num_bytes": 296006386, "num_examples": 997240, "dataset_name": "wmt16"}, "validation": {"name": "validation", "num_bytes": 572203, "num_examples": 2656, "dataset_name": "wmt16"}}, "download_checksums": {"http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz": {"num_bytes": 657632379, "checksum": "0224c7c710c8a063dfd893b0cc0830202d61f4c75c17eb8e31836103d27d96e7"}, "http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz": {"num_bytes": 918311367, "checksum": "c7a74e2ea01ac6c920123108627e35278d4ccb5701e15428ffa34de86fa3a9e5"}, "http://data.statmt.org/wmt16/translation-task/training-parallel-nc-v11.tgz": {"num_bytes": 75178032, "checksum": "cfe8ab047e05043476e498ee765c98e939c7b7d6d294e856344c84476b619d6a"}, "http://data.statmt.org/wmt19/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 1689776739, "dataset_size": 297286459, "size_in_bytes": 1987063198}}
1
+ {"cs-en": {"description": "Translate 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 `datasets.translate.wmt.WmtConfig`.\n\n```\nconfig = datasets.wmt.WmtConfig(\n version=\"0.0.1\",\n language_pair=(\"fr\", \"de\"),\n subsets={\n datasets.Split.TRAIN: [\"commoncrawl_frde\"],\n datasets.Split.VALIDATION: [\"euelections_dev2019\"],\n },\n)\nbuilder = datasets.builder(\"wmt_translate\", config=config)\n```\n\n", "citation": "\n@InProceedings{bojar-EtAl:2016:WMT1,\n author = {Bojar, Ond\u000b{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", "homepage": "http://www.statmt.org/wmt16/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt16", "config_name": "cs-en", "version": {"version_str": "1.0.0", "description": null, "datasets_version_to_prepare": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 707870, "num_examples": 2999, "dataset_name": "wmt16"}, "train": {"name": "train", "num_bytes": 296006386, "num_examples": 997240, "dataset_name": "wmt16"}, "validation": {"name": "validation", "num_bytes": 572203, "num_examples": 2656, "dataset_name": "wmt16"}}, "download_checksums": {"https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-europarl-v7.tgz": {"num_bytes": 657632379, "checksum": "0224c7c710c8a063dfd893b0cc0830202d61f4c75c17eb8e31836103d27d96e7"}, "https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-commoncrawl.tgz": {"num_bytes": 918311367, "checksum": "c7a74e2ea01ac6c920123108627e35278d4ccb5701e15428ffa34de86fa3a9e5"}, "https://huggingface.co/datasets/wmt/wmt16/resolve/main/translation-task/training-parallel-nc-v11.tgz": {"num_bytes": 75178032, "checksum": "cfe8ab047e05043476e498ee765c98e939c7b7d6d294e856344c84476b619d6a"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 1689776739, "dataset_size": 297286459, "size_in_bytes": 1987063198}}
wmt_utils.py CHANGED
@@ -23,7 +23,6 @@ import functools
23
  import glob
24
  import gzip
25
  import itertools
26
- import logging
27
  import os
28
  import re
29
  import xml.etree.cElementTree as ElementTree
@@ -34,6 +33,9 @@ import six
34
  import datasets
35
 
36
 
 
 
 
37
  _DESCRIPTION = """\
38
  Translate dataset based on the data from statmt.org.
39
 
@@ -128,7 +130,7 @@ _TRAIN_SUBSETS = [
128
  name="commoncrawl",
129
  target="en", # fr-de pair in commoncrawl_frde
130
  sources={"cs", "de", "es", "fr", "ru"},
131
- url="http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz",
132
  path=("commoncrawl.{src}-en.{src}", "commoncrawl.{src}-en.en"),
133
  ),
134
  SubDataset(
@@ -136,8 +138,8 @@ _TRAIN_SUBSETS = [
136
  target="de",
137
  sources={"fr"},
138
  url=(
139
- "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/commoncrawl.fr.gz",
140
- "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/commoncrawl.de.gz",
141
  ),
142
  path=("", ""),
143
  ),
@@ -185,14 +187,14 @@ _TRAIN_SUBSETS = [
185
  name="dcep_v1",
186
  target="en",
187
  sources={"lv"},
188
- url="http://data.statmt.org/wmt17/translation-task/dcep.lv-en.v1.tgz",
189
  path=("dcep.en-lv/dcep.lv", "dcep.en-lv/dcep.en"),
190
  ),
191
  SubDataset(
192
  name="europarl_v7",
193
  target="en",
194
  sources={"cs", "de", "es", "fr"},
195
- url="http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz",
196
  path=("training/europarl-v7.{src}-en.{src}", "training/europarl-v7.{src}-en.en"),
197
  ),
198
  SubDataset(
@@ -200,8 +202,8 @@ _TRAIN_SUBSETS = [
200
  target="de",
201
  sources={"fr"},
202
  url=(
203
- "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/europarl-v7.fr.gz",
204
- "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/europarl-v7.de.gz",
205
  ),
206
  path=("", ""),
207
  ),
@@ -209,28 +211,28 @@ _TRAIN_SUBSETS = [
209
  name="europarl_v8_18",
210
  target="en",
211
  sources={"et", "fi"},
212
- url="http://data.statmt.org/wmt18/translation-task/training-parallel-ep-v8.tgz",
213
  path=("training/europarl-v8.{src}-en.{src}", "training/europarl-v8.{src}-en.en"),
214
  ),
215
  SubDataset(
216
  name="europarl_v8_16",
217
  target="en",
218
  sources={"fi", "ro"},
219
- url="http://data.statmt.org/wmt16/translation-task/training-parallel-ep-v8.tgz",
220
  path=("training-parallel-ep-v8/europarl-v8.{src}-en.{src}", "training-parallel-ep-v8/europarl-v8.{src}-en.en"),
221
  ),
222
  SubDataset(
223
  name="europarl_v9",
224
  target="en",
225
  sources={"cs", "de", "fi", "lt"},
226
- url="http://www.statmt.org/europarl/v9/training/europarl-v9.{src}-en.tsv.gz",
227
  path="",
228
  ),
229
  SubDataset(
230
  name="gigafren",
231
  target="en",
232
  sources={"fr"},
233
- url="http://www.statmt.org/wmt10/training-giga-fren.tar",
234
  path=("giga-fren.release2.fixed.fr.gz", "giga-fren.release2.fixed.en.gz"),
235
  ),
236
  SubDataset(
@@ -245,35 +247,35 @@ _TRAIN_SUBSETS = [
245
  name="leta_v1",
246
  target="en",
247
  sources={"lv"},
248
- url="http://data.statmt.org/wmt17/translation-task/leta.v1.tgz",
249
  path=("LETA-lv-en/leta.lv", "LETA-lv-en/leta.en"),
250
  ),
251
  SubDataset(
252
  name="multiun",
253
  target="en",
254
  sources={"es", "fr"},
255
- url="http://www.statmt.org/wmt13/training-parallel-un.tgz",
256
  path=("un/undoc.2000.{src}-en.{src}", "un/undoc.2000.{src}-en.en"),
257
  ),
258
  SubDataset(
259
  name="newscommentary_v9",
260
  target="en",
261
  sources={"cs", "de", "fr", "ru"},
262
- url="http://www.statmt.org/wmt14/training-parallel-nc-v9.tgz",
263
  path=("training/news-commentary-v9.{src}-en.{src}", "training/news-commentary-v9.{src}-en.en"),
264
  ),
265
  SubDataset(
266
  name="newscommentary_v10",
267
  target="en",
268
  sources={"cs", "de", "fr", "ru"},
269
- url="http://www.statmt.org/wmt15/training-parallel-nc-v10.tgz",
270
  path=("news-commentary-v10.{src}-en.{src}", "news-commentary-v10.{src}-en.en"),
271
  ),
272
  SubDataset(
273
  name="newscommentary_v11",
274
  target="en",
275
  sources={"cs", "de", "ru"},
276
- url="http://data.statmt.org/wmt16/translation-task/training-parallel-nc-v11.tgz",
277
  path=(
278
  "training-parallel-nc-v11/news-commentary-v11.{src}-en.{src}",
279
  "training-parallel-nc-v11/news-commentary-v11.{src}-en.en",
@@ -283,14 +285,14 @@ _TRAIN_SUBSETS = [
283
  name="newscommentary_v12",
284
  target="en",
285
  sources={"cs", "de", "ru", "zh"},
286
- url="http://data.statmt.org/wmt17/translation-task/training-parallel-nc-v12.tgz",
287
  path=("training/news-commentary-v12.{src}-en.{src}", "training/news-commentary-v12.{src}-en.en"),
288
  ),
289
  SubDataset(
290
  name="newscommentary_v13",
291
  target="en",
292
  sources={"cs", "de", "ru", "zh"},
293
- url="http://data.statmt.org/wmt18/translation-task/training-parallel-nc-v13.tgz",
294
  path=(
295
  "training-parallel-nc-v13/news-commentary-v13.{src}-en.{src}",
296
  "training-parallel-nc-v13/news-commentary-v13.{src}-en.en",
@@ -314,7 +316,7 @@ _TRAIN_SUBSETS = [
314
  name="onlinebooks_v1",
315
  target="en",
316
  sources={"lv"},
317
- url="http://data.statmt.org/wmt17/translation-task/books.lv-en.v1.tgz",
318
  path=("farewell/farewell.lv", "farewell/farewell.en"),
319
  ),
320
  SubDataset(
@@ -349,8 +351,8 @@ _TRAIN_SUBSETS = [
349
  target="de",
350
  sources={"fr"},
351
  url=(
352
- "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/de-fr.bicleaner07.de.gz",
353
- "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/de-fr.bicleaner07.fr.gz",
354
  ),
355
  path=("", ""),
356
  ),
@@ -358,7 +360,7 @@ _TRAIN_SUBSETS = [
358
  name="rapid_2016",
359
  target="en",
360
  sources={"de", "et", "fi"},
361
- url="http://data.statmt.org/wmt18/translation-task/rapid2016.tgz",
362
  path=("rapid2016.{0}-{1}.{src}", "rapid2016.{0}-{1}.en"),
363
  ),
364
  SubDataset(
@@ -379,28 +381,28 @@ _TRAIN_SUBSETS = [
379
  name="setimes_2",
380
  target="en",
381
  sources={"ro", "tr"},
382
- url="http://opus.nlpl.eu/download.php?f=SETIMES/v2/tmx/en-{src}.tmx.gz",
383
  path="",
384
  ),
385
  SubDataset(
386
  name="uncorpus_v1",
387
  target="en",
388
  sources={"ru", "zh"},
389
- url="https://storage.googleapis.com/tfdataset-data/downloadataset/uncorpus/UNv1.0.en-{src}.tar.gz",
390
  path=("en-{src}/UNv1.0.en-{src}.{src}", "en-{src}/UNv1.0.en-{src}.en"),
391
  ),
392
  SubDataset(
393
  name="wikiheadlines_fi",
394
  target="en",
395
  sources={"fi"},
396
- url="http://www.statmt.org/wmt15/wiki-titles.tgz",
397
  path="wiki/fi-en/titles.fi-en",
398
  ),
399
  SubDataset(
400
  name="wikiheadlines_hi",
401
  target="en",
402
  sources={"hi"},
403
- url="http://www.statmt.org/wmt14/wiki-titles.tgz",
404
  path="wiki/hi-en/wiki-titles.hi-en",
405
  ),
406
  SubDataset(
@@ -408,14 +410,14 @@ _TRAIN_SUBSETS = [
408
  name="wikiheadlines_ru",
409
  target="en",
410
  sources={"ru"},
411
- url="http://www.statmt.org/wmt15/wiki-titles.tgz",
412
  path="wiki/ru-en/wiki.ru-en",
413
  ),
414
  SubDataset(
415
  name="wikititles_v1",
416
  target="en",
417
  sources={"cs", "de", "fi", "gu", "kk", "lt", "ru", "zh"},
418
- url="http://data.statmt.org/wikititles/v1/wikititles-v1.{src}-en.tsv.gz",
419
  path="",
420
  ),
421
  SubDataset(
@@ -443,175 +445,175 @@ _DEV_SUBSETS = [
443
  name="euelections_dev2019",
444
  target="de",
445
  sources={"fr"},
446
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
447
  path=("dev/euelections_dev2019.fr-de.src.fr", "dev/euelections_dev2019.fr-de.tgt.de"),
448
  ),
449
  SubDataset(
450
  name="newsdev2014",
451
  target="en",
452
  sources={"hi"},
453
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
454
  path=("dev/newsdev2014.hi", "dev/newsdev2014.en"),
455
  ),
456
  SubDataset(
457
  name="newsdev2015",
458
  target="en",
459
  sources={"fi"},
460
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
461
  path=("dev/newsdev2015-fien-src.{src}.sgm", "dev/newsdev2015-fien-ref.en.sgm"),
462
  ),
463
  SubDataset(
464
  name="newsdiscussdev2015",
465
  target="en",
466
  sources={"ro", "tr"},
467
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
468
  path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
469
  ),
470
  SubDataset(
471
  name="newsdev2016",
472
  target="en",
473
  sources={"ro", "tr"},
474
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
475
  path=("dev/newsdev2016-{src}en-src.{src}.sgm", "dev/newsdev2016-{src}en-ref.en.sgm"),
476
  ),
477
  SubDataset(
478
  name="newsdev2017",
479
  target="en",
480
  sources={"lv", "zh"},
481
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
482
  path=("dev/newsdev2017-{src}en-src.{src}.sgm", "dev/newsdev2017-{src}en-ref.en.sgm"),
483
  ),
484
  SubDataset(
485
  name="newsdev2018",
486
  target="en",
487
  sources={"et"},
488
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
489
  path=("dev/newsdev2018-{src}en-src.{src}.sgm", "dev/newsdev2018-{src}en-ref.en.sgm"),
490
  ),
491
  SubDataset(
492
  name="newsdev2019",
493
  target="en",
494
  sources={"gu", "kk", "lt"},
495
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
496
  path=("dev/newsdev2019-{src}en-src.{src}.sgm", "dev/newsdev2019-{src}en-ref.en.sgm"),
497
  ),
498
  SubDataset(
499
  name="newsdiscussdev2015",
500
  target="en",
501
  sources={"fr"},
502
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
503
  path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
504
  ),
505
  SubDataset(
506
  name="newsdiscusstest2015",
507
  target="en",
508
  sources={"fr"},
509
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
510
  path=("dev/newsdiscusstest2015-{src}en-src.{src}.sgm", "dev/newsdiscusstest2015-{src}en-ref.en.sgm"),
511
  ),
512
  SubDataset(
513
  name="newssyscomb2009",
514
  target="en",
515
  sources={"cs", "de", "es", "fr"},
516
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
517
  path=("dev/newssyscomb2009.{src}", "dev/newssyscomb2009.en"),
518
  ),
519
  SubDataset(
520
  name="newstest2008",
521
  target="en",
522
  sources={"cs", "de", "es", "fr", "hu"},
523
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
524
  path=("dev/news-test2008.{src}", "dev/news-test2008.en"),
525
  ),
526
  SubDataset(
527
  name="newstest2009",
528
  target="en",
529
  sources={"cs", "de", "es", "fr"},
530
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
531
  path=("dev/newstest2009.{src}", "dev/newstest2009.en"),
532
  ),
533
  SubDataset(
534
  name="newstest2010",
535
  target="en",
536
  sources={"cs", "de", "es", "fr"},
537
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
538
  path=("dev/newstest2010.{src}", "dev/newstest2010.en"),
539
  ),
540
  SubDataset(
541
  name="newstest2011",
542
  target="en",
543
  sources={"cs", "de", "es", "fr"},
544
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
545
  path=("dev/newstest2011.{src}", "dev/newstest2011.en"),
546
  ),
547
  SubDataset(
548
  name="newstest2012",
549
  target="en",
550
  sources={"cs", "de", "es", "fr", "ru"},
551
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
552
  path=("dev/newstest2012.{src}", "dev/newstest2012.en"),
553
  ),
554
  SubDataset(
555
  name="newstest2013",
556
  target="en",
557
  sources={"cs", "de", "es", "fr", "ru"},
558
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
559
  path=("dev/newstest2013.{src}", "dev/newstest2013.en"),
560
  ),
561
  SubDataset(
562
  name="newstest2014",
563
  target="en",
564
  sources={"cs", "de", "es", "fr", "hi", "ru"},
565
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
566
  path=("dev/newstest2014-{src}en-src.{src}.sgm", "dev/newstest2014-{src}en-ref.en.sgm"),
567
  ),
568
  SubDataset(
569
  name="newstest2015",
570
  target="en",
571
  sources={"cs", "de", "fi", "ru"},
572
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
573
  path=("dev/newstest2015-{src}en-src.{src}.sgm", "dev/newstest2015-{src}en-ref.en.sgm"),
574
  ),
575
  SubDataset(
576
  name="newsdiscusstest2015",
577
  target="en",
578
  sources={"fr"},
579
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
580
  path=("dev/newsdiscusstest2015-{src}en-src.{src}.sgm", "dev/newsdiscusstest2015-{src}en-ref.en.sgm"),
581
  ),
582
  SubDataset(
583
  name="newstest2016",
584
  target="en",
585
  sources={"cs", "de", "fi", "ro", "ru", "tr"},
586
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
587
  path=("dev/newstest2016-{src}en-src.{src}.sgm", "dev/newstest2016-{src}en-ref.en.sgm"),
588
  ),
589
  SubDataset(
590
  name="newstestB2016",
591
  target="en",
592
  sources={"fi"},
593
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
594
  path=("dev/newstestB2016-enfi-ref.{src}.sgm", "dev/newstestB2016-enfi-src.en.sgm"),
595
  ),
596
  SubDataset(
597
  name="newstest2017",
598
  target="en",
599
  sources={"cs", "de", "fi", "lv", "ru", "tr", "zh"},
600
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
601
  path=("dev/newstest2017-{src}en-src.{src}.sgm", "dev/newstest2017-{src}en-ref.en.sgm"),
602
  ),
603
  SubDataset(
604
  name="newstestB2017",
605
  target="en",
606
  sources={"fi"},
607
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
608
  path=("dev/newstestB2017-fien-src.fi.sgm", "dev/newstestB2017-fien-ref.en.sgm"),
609
  ),
610
  SubDataset(
611
  name="newstest2018",
612
  target="en",
613
  sources={"cs", "de", "et", "fi", "ru", "tr", "zh"},
614
- url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
615
  path=("dev/newstest2018-{src}en-src.{src}.sgm", "dev/newstest2018-{src}en-ref.en.sgm"),
616
  ),
617
  ]
@@ -693,10 +695,10 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
693
  for ss_name in ss_names:
694
  dataset = DATASET_MAP[ss_name]
695
  if dataset.target != target or source not in dataset.sources:
696
- logging.info("Skipping sub-dataset that does not include language pair: %s", ss_name)
697
  else:
698
  filtered_subsets[split].append(ss_name)
699
- logging.info("Using sub-datasets: %s", filtered_subsets)
700
  return filtered_subsets
701
 
702
  def _info(self):
@@ -731,7 +733,7 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
731
  if dataset.get_manual_dl_files(source):
732
  # TODO(PVP): following two lines skip configs that are incomplete for now
733
  # +++++++++++++++++++++
734
- logging.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
735
  continue
736
  # +++++++++++++++++++++
737
 
@@ -786,11 +788,11 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
786
  dataset = DATASET_MAP[ss_name]
787
  source, _ = self.config.language_pair
788
  if dataset.get_manual_dl_files(source):
789
- logging.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
790
  continue
791
  # +++++++++++++++++++++
792
 
793
- logging.info("Generating examples from: %s", ss_name)
794
  dataset = DATASET_MAP[ss_name]
795
  extract_dirs = extraction_map[ss_name]
796
  files = _get_local_paths(dataset, extract_dirs)
@@ -962,7 +964,7 @@ def _parse_tsv(path, language_pair=None):
962
  for j, line in enumerate(f):
963
  cols = line.split("\t")
964
  if len(cols) != 2:
965
- logging.warning("Skipping line %d in TSV (%s) with %d != 2 columns.", j, path, len(cols))
966
  continue
967
  s1, s2 = cols
968
  yield j, {l1: s1.strip(), l2: s2.strip()}
@@ -986,7 +988,7 @@ def _parse_czeng(*paths, **kwargs):
986
  re_block = re.compile(r"^[^-]+-b(\d+)-\d\d[tde]")
987
  with open(filter_path, encoding="utf-8") as f:
988
  bad_blocks = {blk for blk in re.search(r"qw{([\s\d]*)}", f.read()).groups()[0].split()}
989
- logging.info("Loaded %d bad blocks to filter from CzEng v1.6 to make v1.7.", len(bad_blocks))
990
 
991
  for path in paths:
992
  for gz_path in sorted(glob.glob(path)):
@@ -1013,6 +1015,6 @@ def _parse_hindencorp(path):
1013
  for line_id, line in enumerate(f):
1014
  split_line = line.split("\t")
1015
  if len(split_line) != 5:
1016
- logging.warning("Skipping invalid HindEnCorp line: %s", line)
1017
  continue
1018
  yield line_id, {"translation": {"en": split_line[3].strip(), "hi": split_line[4].strip()}}
23
  import glob
24
  import gzip
25
  import itertools
 
26
  import os
27
  import re
28
  import xml.etree.cElementTree as ElementTree
33
  import datasets
34
 
35
 
36
+ logger = datasets.logging.get_logger(__name__)
37
+
38
+
39
  _DESCRIPTION = """\
40
  Translate dataset based on the data from statmt.org.
41
 
130
  name="commoncrawl",
131
  target="en", # fr-de pair in commoncrawl_frde
132
  sources={"cs", "de", "es", "fr", "ru"},
133
+ url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-commoncrawl.tgz",
134
  path=("commoncrawl.{src}-en.{src}", "commoncrawl.{src}-en.en"),
135
  ),
136
  SubDataset(
138
  target="de",
139
  sources={"fr"},
140
  url=(
141
+ "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/commoncrawl.fr.gz",
142
+ "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/commoncrawl.de.gz",
143
  ),
144
  path=("", ""),
145
  ),
187
  name="dcep_v1",
188
  target="en",
189
  sources={"lv"},
190
+ url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/dcep.lv-en.v1.tgz",
191
  path=("dcep.en-lv/dcep.lv", "dcep.en-lv/dcep.en"),
192
  ),
193
  SubDataset(
194
  name="europarl_v7",
195
  target="en",
196
  sources={"cs", "de", "es", "fr"},
197
+ url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-europarl-v7.tgz",
198
  path=("training/europarl-v7.{src}-en.{src}", "training/europarl-v7.{src}-en.en"),
199
  ),
200
  SubDataset(
202
  target="de",
203
  sources={"fr"},
204
  url=(
205
+ "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/europarl-v7.fr.gz",
206
+ "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/europarl-v7.de.gz",
207
  ),
208
  path=("", ""),
209
  ),
211
  name="europarl_v8_18",
212
  target="en",
213
  sources={"et", "fi"},
214
+ url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/training-parallel-ep-v8.tgz",
215
  path=("training/europarl-v8.{src}-en.{src}", "training/europarl-v8.{src}-en.en"),
216
  ),
217
  SubDataset(
218
  name="europarl_v8_16",
219
  target="en",
220
  sources={"fi", "ro"},
221
+ url="https://huggingface.co/datasets/wmt/wmt16/resolve/main/translation-task/training-parallel-ep-v8.tgz",
222
  path=("training-parallel-ep-v8/europarl-v8.{src}-en.{src}", "training-parallel-ep-v8/europarl-v8.{src}-en.en"),
223
  ),
224
  SubDataset(
225
  name="europarl_v9",
226
  target="en",
227
  sources={"cs", "de", "fi", "lt"},
228
+ url="https://huggingface.co/datasets/wmt/europarl/resolve/main/v9/training/europarl-v9.{src}-en.tsv.gz",
229
  path="",
230
  ),
231
  SubDataset(
232
  name="gigafren",
233
  target="en",
234
  sources={"fr"},
235
+ url="https://huggingface.co/datasets/wmt/wmt10/resolve/main/training-giga-fren.tar",
236
  path=("giga-fren.release2.fixed.fr.gz", "giga-fren.release2.fixed.en.gz"),
237
  ),
238
  SubDataset(
247
  name="leta_v1",
248
  target="en",
249
  sources={"lv"},
250
+ url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/leta.v1.tgz",
251
  path=("LETA-lv-en/leta.lv", "LETA-lv-en/leta.en"),
252
  ),
253
  SubDataset(
254
  name="multiun",
255
  target="en",
256
  sources={"es", "fr"},
257
+ url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-un.tgz",
258
  path=("un/undoc.2000.{src}-en.{src}", "un/undoc.2000.{src}-en.en"),
259
  ),
260
  SubDataset(
261
  name="newscommentary_v9",
262
  target="en",
263
  sources={"cs", "de", "fr", "ru"},
264
+ url="https://huggingface.co/datasets/wmt/wmt14/resolve/main/training-parallel-nc-v9.tgz",
265
  path=("training/news-commentary-v9.{src}-en.{src}", "training/news-commentary-v9.{src}-en.en"),
266
  ),
267
  SubDataset(
268
  name="newscommentary_v10",
269
  target="en",
270
  sources={"cs", "de", "fr", "ru"},
271
+ url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/training-parallel-nc-v10.tgz",
272
  path=("news-commentary-v10.{src}-en.{src}", "news-commentary-v10.{src}-en.en"),
273
  ),
274
  SubDataset(
275
  name="newscommentary_v11",
276
  target="en",
277
  sources={"cs", "de", "ru"},
278
+ url="https://huggingface.co/datasets/wmt/wmt16/resolve/main/translation-task/training-parallel-nc-v11.tgz",
279
  path=(
280
  "training-parallel-nc-v11/news-commentary-v11.{src}-en.{src}",
281
  "training-parallel-nc-v11/news-commentary-v11.{src}-en.en",
285
  name="newscommentary_v12",
286
  target="en",
287
  sources={"cs", "de", "ru", "zh"},
288
+ url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/training-parallel-nc-v12.tgz",
289
  path=("training/news-commentary-v12.{src}-en.{src}", "training/news-commentary-v12.{src}-en.en"),
290
  ),
291
  SubDataset(
292
  name="newscommentary_v13",
293
  target="en",
294
  sources={"cs", "de", "ru", "zh"},
295
+ url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/training-parallel-nc-v13.tgz",
296
  path=(
297
  "training-parallel-nc-v13/news-commentary-v13.{src}-en.{src}",
298
  "training-parallel-nc-v13/news-commentary-v13.{src}-en.en",
316
  name="onlinebooks_v1",
317
  target="en",
318
  sources={"lv"},
319
+ url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/books.lv-en.v1.tgz",
320
  path=("farewell/farewell.lv", "farewell/farewell.en"),
321
  ),
322
  SubDataset(
351
  target="de",
352
  sources={"fr"},
353
  url=(
354
+ "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/de-fr.bicleaner07.de.gz",
355
+ "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/de-fr.bicleaner07.fr.gz",
356
  ),
357
  path=("", ""),
358
  ),
360
  name="rapid_2016",
361
  target="en",
362
  sources={"de", "et", "fi"},
363
+ url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/rapid2016.tgz",
364
  path=("rapid2016.{0}-{1}.{src}", "rapid2016.{0}-{1}.en"),
365
  ),
366
  SubDataset(
381
  name="setimes_2",
382
  target="en",
383
  sources={"ro", "tr"},
384
+ url="https://opus.nlpl.eu/download.php?f=SETIMES/v2/tmx/en-{src}.tmx.gz",
385
  path="",
386
  ),
387
  SubDataset(
388
  name="uncorpus_v1",
389
  target="en",
390
  sources={"ru", "zh"},
391
+ url="https://huggingface.co/datasets/wmt/uncorpus/resolve/main/UNv1.0.en-{src}.tar.gz",
392
  path=("en-{src}/UNv1.0.en-{src}.{src}", "en-{src}/UNv1.0.en-{src}.en"),
393
  ),
394
  SubDataset(
395
  name="wikiheadlines_fi",
396
  target="en",
397
  sources={"fi"},
398
+ url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/wiki-titles.tgz",
399
  path="wiki/fi-en/titles.fi-en",
400
  ),
401
  SubDataset(
402
  name="wikiheadlines_hi",
403
  target="en",
404
  sources={"hi"},
405
+ url="https://huggingface.co/datasets/wmt/wmt14/resolve/main/wiki-titles.tgz",
406
  path="wiki/hi-en/wiki-titles.hi-en",
407
  ),
408
  SubDataset(
410
  name="wikiheadlines_ru",
411
  target="en",
412
  sources={"ru"},
413
+ url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/wiki-titles.tgz",
414
  path="wiki/ru-en/wiki.ru-en",
415
  ),
416
  SubDataset(
417
  name="wikititles_v1",
418
  target="en",
419
  sources={"cs", "de", "fi", "gu", "kk", "lt", "ru", "zh"},
420
+ url="https://huggingface.co/datasets/wmt/wikititles/resolve/main/v1/wikititles-v1.{src}-en.tsv.gz",
421
  path="",
422
  ),
423
  SubDataset(
445
  name="euelections_dev2019",
446
  target="de",
447
  sources={"fr"},
448
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
449
  path=("dev/euelections_dev2019.fr-de.src.fr", "dev/euelections_dev2019.fr-de.tgt.de"),
450
  ),
451
  SubDataset(
452
  name="newsdev2014",
453
  target="en",
454
  sources={"hi"},
455
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
456
  path=("dev/newsdev2014.hi", "dev/newsdev2014.en"),
457
  ),
458
  SubDataset(
459
  name="newsdev2015",
460
  target="en",
461
  sources={"fi"},
462
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
463
  path=("dev/newsdev2015-fien-src.{src}.sgm", "dev/newsdev2015-fien-ref.en.sgm"),
464
  ),
465
  SubDataset(
466
  name="newsdiscussdev2015",
467
  target="en",
468
  sources={"ro", "tr"},
469
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
470
  path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
471
  ),
472
  SubDataset(
473
  name="newsdev2016",
474
  target="en",
475
  sources={"ro", "tr"},
476
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
477
  path=("dev/newsdev2016-{src}en-src.{src}.sgm", "dev/newsdev2016-{src}en-ref.en.sgm"),
478
  ),
479
  SubDataset(
480
  name="newsdev2017",
481
  target="en",
482
  sources={"lv", "zh"},
483
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
484
  path=("dev/newsdev2017-{src}en-src.{src}.sgm", "dev/newsdev2017-{src}en-ref.en.sgm"),
485
  ),
486
  SubDataset(
487
  name="newsdev2018",
488
  target="en",
489
  sources={"et"},
490
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
491
  path=("dev/newsdev2018-{src}en-src.{src}.sgm", "dev/newsdev2018-{src}en-ref.en.sgm"),
492
  ),
493
  SubDataset(
494
  name="newsdev2019",
495
  target="en",
496
  sources={"gu", "kk", "lt"},
497
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
498
  path=("dev/newsdev2019-{src}en-src.{src}.sgm", "dev/newsdev2019-{src}en-ref.en.sgm"),
499
  ),
500
  SubDataset(
501
  name="newsdiscussdev2015",
502
  target="en",
503
  sources={"fr"},
504
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
505
  path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
506
  ),
507
  SubDataset(
508
  name="newsdiscusstest2015",
509
  target="en",
510
  sources={"fr"},
511
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
512
  path=("dev/newsdiscusstest2015-{src}en-src.{src}.sgm", "dev/newsdiscusstest2015-{src}en-ref.en.sgm"),
513
  ),
514
  SubDataset(
515
  name="newssyscomb2009",
516
  target="en",
517
  sources={"cs", "de", "es", "fr"},
518
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
519
  path=("dev/newssyscomb2009.{src}", "dev/newssyscomb2009.en"),
520
  ),
521
  SubDataset(
522
  name="newstest2008",
523
  target="en",
524
  sources={"cs", "de", "es", "fr", "hu"},
525
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
526
  path=("dev/news-test2008.{src}", "dev/news-test2008.en"),
527
  ),
528
  SubDataset(
529
  name="newstest2009",
530
  target="en",
531
  sources={"cs", "de", "es", "fr"},
532
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
533
  path=("dev/newstest2009.{src}", "dev/newstest2009.en"),
534
  ),
535
  SubDataset(
536
  name="newstest2010",
537
  target="en",
538
  sources={"cs", "de", "es", "fr"},
539
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
540
  path=("dev/newstest2010.{src}", "dev/newstest2010.en"),
541
  ),
542
  SubDataset(
543
  name="newstest2011",
544
  target="en",
545
  sources={"cs", "de", "es", "fr"},
546
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
547
  path=("dev/newstest2011.{src}", "dev/newstest2011.en"),
548
  ),
549
  SubDataset(
550
  name="newstest2012",
551
  target="en",
552
  sources={"cs", "de", "es", "fr", "ru"},
553
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
554
  path=("dev/newstest2012.{src}", "dev/newstest2012.en"),
555
  ),
556
  SubDataset(
557
  name="newstest2013",
558
  target="en",
559
  sources={"cs", "de", "es", "fr", "ru"},
560
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
561
  path=("dev/newstest2013.{src}", "dev/newstest2013.en"),
562
  ),
563
  SubDataset(
564
  name="newstest2014",
565
  target="en",
566
  sources={"cs", "de", "es", "fr", "hi", "ru"},
567
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
568
  path=("dev/newstest2014-{src}en-src.{src}.sgm", "dev/newstest2014-{src}en-ref.en.sgm"),
569
  ),
570
  SubDataset(
571
  name="newstest2015",
572
  target="en",
573
  sources={"cs", "de", "fi", "ru"},
574
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
575
  path=("dev/newstest2015-{src}en-src.{src}.sgm", "dev/newstest2015-{src}en-ref.en.sgm"),
576
  ),
577
  SubDataset(
578
  name="newsdiscusstest2015",
579
  target="en",
580
  sources={"fr"},
581
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
582
  path=("dev/newsdiscusstest2015-{src}en-src.{src}.sgm", "dev/newsdiscusstest2015-{src}en-ref.en.sgm"),
583
  ),
584
  SubDataset(
585
  name="newstest2016",
586
  target="en",
587
  sources={"cs", "de", "fi", "ro", "ru", "tr"},
588
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
589
  path=("dev/newstest2016-{src}en-src.{src}.sgm", "dev/newstest2016-{src}en-ref.en.sgm"),
590
  ),
591
  SubDataset(
592
  name="newstestB2016",
593
  target="en",
594
  sources={"fi"},
595
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
596
  path=("dev/newstestB2016-enfi-ref.{src}.sgm", "dev/newstestB2016-enfi-src.en.sgm"),
597
  ),
598
  SubDataset(
599
  name="newstest2017",
600
  target="en",
601
  sources={"cs", "de", "fi", "lv", "ru", "tr", "zh"},
602
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
603
  path=("dev/newstest2017-{src}en-src.{src}.sgm", "dev/newstest2017-{src}en-ref.en.sgm"),
604
  ),
605
  SubDataset(
606
  name="newstestB2017",
607
  target="en",
608
  sources={"fi"},
609
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
610
  path=("dev/newstestB2017-fien-src.fi.sgm", "dev/newstestB2017-fien-ref.en.sgm"),
611
  ),
612
  SubDataset(
613
  name="newstest2018",
614
  target="en",
615
  sources={"cs", "de", "et", "fi", "ru", "tr", "zh"},
616
+ url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
617
  path=("dev/newstest2018-{src}en-src.{src}.sgm", "dev/newstest2018-{src}en-ref.en.sgm"),
618
  ),
619
  ]
695
  for ss_name in ss_names:
696
  dataset = DATASET_MAP[ss_name]
697
  if dataset.target != target or source not in dataset.sources:
698
+ logger.info("Skipping sub-dataset that does not include language pair: %s", ss_name)
699
  else:
700
  filtered_subsets[split].append(ss_name)
701
+ logger.info("Using sub-datasets: %s", filtered_subsets)
702
  return filtered_subsets
703
 
704
  def _info(self):
733
  if dataset.get_manual_dl_files(source):
734
  # TODO(PVP): following two lines skip configs that are incomplete for now
735
  # +++++++++++++++++++++
736
+ logger.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
737
  continue
738
  # +++++++++++++++++++++
739
 
788
  dataset = DATASET_MAP[ss_name]
789
  source, _ = self.config.language_pair
790
  if dataset.get_manual_dl_files(source):
791
+ logger.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
792
  continue
793
  # +++++++++++++++++++++
794
 
795
+ logger.info("Generating examples from: %s", ss_name)
796
  dataset = DATASET_MAP[ss_name]
797
  extract_dirs = extraction_map[ss_name]
798
  files = _get_local_paths(dataset, extract_dirs)
964
  for j, line in enumerate(f):
965
  cols = line.split("\t")
966
  if len(cols) != 2:
967
+ logger.warning("Skipping line %d in TSV (%s) with %d != 2 columns.", j, path, len(cols))
968
  continue
969
  s1, s2 = cols
970
  yield j, {l1: s1.strip(), l2: s2.strip()}
988
  re_block = re.compile(r"^[^-]+-b(\d+)-\d\d[tde]")
989
  with open(filter_path, encoding="utf-8") as f:
990
  bad_blocks = {blk for blk in re.search(r"qw{([\s\d]*)}", f.read()).groups()[0].split()}
991
+ logger.info("Loaded %d bad blocks to filter from CzEng v1.6 to make v1.7.", len(bad_blocks))
992
 
993
  for path in paths:
994
  for gz_path in sorted(glob.glob(path)):
1015
  for line_id, line in enumerate(f):
1016
  split_line = line.split("\t")
1017
  if len(split_line) != 5:
1018
+ logger.warning("Skipping invalid HindEnCorp line: %s", line)
1019
  continue
1020
  yield line_id, {"translation": {"en": split_line[3].strip(), "hi": split_line[4].strip()}}