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Update files from the datasets library (from 1.4.0)

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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/wmt18/translation-task.html](http://www.statmt.org/wmt18/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:** 1394.65 MB
38
  - **Total amount of disk used:** 3329.99 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|11046024| 3005|2983|
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
  @InProceedings{bojar-EtAl:2018:WMT1,
 
27
  - [Citation Information](#citation-information)
28
  - [Contributions](#contributions)
29
 
30
+ ## Dataset Description
31
 
32
  - **Homepage:** [http://www.statmt.org/wmt18/translation-task.html](http://www.statmt.org/wmt18/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:** 1394.65 MB
38
  - **Total amount of disk used:** 3329.99 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|11046024| 3005|2983|
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
  @InProceedings{bojar-EtAl:2018:WMT1,
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": "@InProceedings{bojar-EtAl:2018:WMT1,\n author = {Bojar, Ond\u000b{r}ej and Federmann, Christian and Fishel, Mark\n and Graham, Yvette and Haddow, Barry and Huck, Matthias and\n Koehn, Philipp and Monz, Christof},\n title = {Findings of the 2018 Conference on Machine Translation (WMT18)},\n booktitle = {Proceedings of the Third Conference on Machine Translation,\n Volume 2: Shared Task Papers},\n month = {October},\n year = {2018},\n address = {Belgium, Brussels},\n publisher = {Association for Computational Linguistics},\n pages = {272--307},\n url = {http://www.aclweb.org/anthology/W18-6401}\n}\n", "homepage": "http://www.statmt.org/wmt18/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt18", "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": 696229, "num_examples": 2983, "dataset_name": "wmt18"}, "train": {"name": "train", "num_bytes": 1461020779, "num_examples": 11046024, "dataset_name": "wmt18"}, "validation": {"name": "validation", "num_bytes": 674430, "num_examples": 3005, "dataset_name": "wmt18"}}, "download_checksums": {"http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz": {"num_bytes": 657632379, "checksum": "0224c7c710c8a063dfd893b0cc0830202d61f4c75c17eb8e31836103d27d96e7"}, "https://s3.amazonaws.com/web-language-models/paracrawl/release1/paracrawl-release1.en-cs.zipporah0-dedup-clean.tgz": {"num_bytes": 299052360, "checksum": "221f88bac9f48ed6ef94bad5490890066f508be00e8f102cf19edf2a1413c350"}, "http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz": {"num_bytes": 918311367, "checksum": "c7a74e2ea01ac6c920123108627e35278d4ccb5701e15428ffa34de86fa3a9e5"}, "http://data.statmt.org/wmt18/translation-task/training-parallel-nc-v13.tgz": {"num_bytes": 113157482, "checksum": "17992b7e919cfb754c60f4e754148bc23b80706ad0ed7b34150831a554b40c91"}, "http://ufal.mff.cuni.cz/czeng/download.php?f=convert_czeng16_to_17.pl.zip": {"num_bytes": 2544381, "checksum": "e66466e00aecd392daaf547275590a9264bbc6aed70118c5c7cfd6946daf24ac"}, "http://data.statmt.org/wmt19/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 2029352930, "dataset_size": 1462391438, "size_in_bytes": 3491744368}}
 
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": "@InProceedings{bojar-EtAl:2018:WMT1,\n author = {Bojar, Ond\u000b{r}ej and Federmann, Christian and Fishel, Mark\n and Graham, Yvette and Haddow, Barry and Huck, Matthias and\n Koehn, Philipp and Monz, Christof},\n title = {Findings of the 2018 Conference on Machine Translation (WMT18)},\n booktitle = {Proceedings of the Third Conference on Machine Translation,\n Volume 2: Shared Task Papers},\n month = {October},\n year = {2018},\n address = {Belgium, Brussels},\n publisher = {Association for Computational Linguistics},\n pages = {272--307},\n url = {http://www.aclweb.org/anthology/W18-6401}\n}\n", "homepage": "http://www.statmt.org/wmt18/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt18", "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": 696229, "num_examples": 2983, "dataset_name": "wmt18"}, "train": {"name": "train", "num_bytes": 1461020779, "num_examples": 11046024, "dataset_name": "wmt18"}, "validation": {"name": "validation", "num_bytes": 674430, "num_examples": 3005, "dataset_name": "wmt18"}}, "download_checksums": {"https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-europarl-v7.tgz": {"num_bytes": 657632379, "checksum": "0224c7c710c8a063dfd893b0cc0830202d61f4c75c17eb8e31836103d27d96e7"}, "https://s3.amazonaws.com/web-language-models/paracrawl/release1/paracrawl-release1.en-cs.zipporah0-dedup-clean.tgz": {"num_bytes": 299052360, "checksum": "221f88bac9f48ed6ef94bad5490890066f508be00e8f102cf19edf2a1413c350"}, "https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-commoncrawl.tgz": {"num_bytes": 918311367, "checksum": "c7a74e2ea01ac6c920123108627e35278d4ccb5701e15428ffa34de86fa3a9e5"}, "https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/training-parallel-nc-v13.tgz": {"num_bytes": 113157482, "checksum": "17992b7e919cfb754c60f4e754148bc23b80706ad0ed7b34150831a554b40c91"}, "http://ufal.mff.cuni.cz/czeng/download.php?f=convert_czeng16_to_17.pl.zip": {"num_bytes": 2544381, "checksum": "e66466e00aecd392daaf547275590a9264bbc6aed70118c5c7cfd6946daf24ac"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 2029352930, "dataset_size": 1462391438, "size_in_bytes": 3491744368}}
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()}}