Update files from the datasets library (from 1.4.0)

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

README.md

@@ -27,7 +27,7 @@
   - [Citation Information](#citation-information)
   - [Contributions](#contributions)
 
-## [Dataset Description](#dataset-description)
+## Dataset Description
 
 - **Homepage:** [http://www.statmt.org/wmt17/translation-task.html](http://www.statmt.org/wmt17/translation-task.html)
 - **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
@@ -37,7 +37,7 @@
 - **Size of the generated dataset:** 288.10 MB
 - **Total amount of disk used:** 1988.68 MB
 
-### [Dataset Summary](#dataset-summary)
+### Dataset Summary
 
 Translate dataset based on the data from statmt.org.
 
@@ -57,19 +57,19 @@ config = datasets.wmt.WmtConfig(
 builder = datasets.builder("wmt_translate", config=config)
 ```
 
-### [Supported Tasks](#supported-tasks)
+### Supported Tasks
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Languages](#languages)
+### Languages
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Dataset Structure](#dataset-structure)
+## Dataset Structure
 
 We show detailed information for up to 5 configurations of the dataset.
 
-### [Data Instances](#data-instances)
+### Data Instances
 
 #### cs-en
 
@@ -82,62 +82,62 @@ An example of 'train' looks as follows.
 
 ```
 
-### [Data Fields](#data-fields)
+### Data Fields
 
 The data fields are the same among all splits.
 
 #### cs-en
 - `translation`: a multilingual `string` variable, with possible languages including `cs`, `en`.
 
-### [Data Splits Sample Size](#data-splits-sample-size)
+### Data Splits Sample Size
 
 |name | train |validation|test|
 |-----|------:|---------:|---:|
 |cs-en|1018291|      2999|3005|
 
-## [Dataset Creation](#dataset-creation)
+## Dataset Creation
 
-### [Curation Rationale](#curation-rationale)
+### Curation Rationale
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Source Data](#source-data)
+### Source Data
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Annotations](#annotations)
+### Annotations
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Personal and Sensitive Information](#personal-and-sensitive-information)
+### Personal and Sensitive Information
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Considerations for Using the Data](#considerations-for-using-the-data)
+## Considerations for Using the Data
 
-### [Social Impact of Dataset](#social-impact-of-dataset)
+### Social Impact of Dataset
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Discussion of Biases](#discussion-of-biases)
+### Discussion of Biases
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Other Known Limitations](#other-known-limitations)
+### Other Known Limitations
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-## [Additional Information](#additional-information)
+## Additional Information
 
-### [Dataset Curators](#dataset-curators)
+### Dataset Curators
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Licensing Information](#licensing-information)
+### Licensing Information
 
 [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
 
-### [Citation Information](#citation-information)
+### Citation Information
 
 ```
 

dataset_infos.json

@@ -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:2017:WMT1,\n  author    = {Bojar, Ond\u000b{r}ej  and  Chatterjee, Rajen  and  Federmann, Christian  and  Graham, Yvette  and  Haddow, Barry  and  Huang, Shujian  and  Huck, Matthias  and  Koehn, Philipp  and  Liu, Qun  and  Logacheva, Varvara  and  Monz, Christof  and  Negri, Matteo  and  Post, Matt  and  Rubino, Raphael  and  Specia, Lucia  and  Turchi, Marco},\n  title     = {Findings of the 2017 Conference on Machine Translation (WMT17)},\n  booktitle = {Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers},\n  month     = {September},\n  year      = {2017},\n  address   = {Copenhagen, Denmark},\n  publisher = {Association for Computational Linguistics},\n  pages     = {169--214},\n  url       = {http://www.aclweb.org/anthology/W17-4717}\n}\n", "homepage": "http://www.statmt.org/wmt17/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt17", "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": 674430, "num_examples": 3005, "dataset_name": "wmt17"}, "train": {"name": "train", "num_bytes": 300709796, "num_examples": 1018291, "dataset_name": "wmt17"}, "validation": {"name": "validation", "num_bytes": 707870, "num_examples": 2999, "dataset_name": "wmt17"}}, "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/wmt17/translation-task/training-parallel-nc-v12.tgz": {"num_bytes": 168591139, "checksum": "2b45f30ef1d550d302fd17dd3a5cbe19134ccc4c2cf50c2dae534aee600101a2"}, "http://data.statmt.org/wmt19/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 1783189846, "dataset_size": 302092096, "size_in_bytes": 2085281942}}
+{"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:2017:WMT1,\n  author    = {Bojar, Ond\u000b{r}ej  and  Chatterjee, Rajen  and  Federmann, Christian  and  Graham, Yvette  and  Haddow, Barry  and  Huang, Shujian  and  Huck, Matthias  and  Koehn, Philipp  and  Liu, Qun  and  Logacheva, Varvara  and  Monz, Christof  and  Negri, Matteo  and  Post, Matt  and  Rubino, Raphael  and  Specia, Lucia  and  Turchi, Marco},\n  title     = {Findings of the 2017 Conference on Machine Translation (WMT17)},\n  booktitle = {Proceedings of the Second Conference on Machine Translation, Volume 2: Shared Task Papers},\n  month     = {September},\n  year      = {2017},\n  address   = {Copenhagen, Denmark},\n  publisher = {Association for Computational Linguistics},\n  pages     = {169--214},\n  url       = {http://www.aclweb.org/anthology/W17-4717}\n}\n", "homepage": "http://www.statmt.org/wmt17/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt17", "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": 674430, "num_examples": 3005, "dataset_name": "wmt17"}, "train": {"name": "train", "num_bytes": 300709796, "num_examples": 1018291, "dataset_name": "wmt17"}, "validation": {"name": "validation", "num_bytes": 707870, "num_examples": 2999, "dataset_name": "wmt17"}}, "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/wmt17/resolve/main/translation-task/training-parallel-nc-v12.tgz": {"num_bytes": 168591139, "checksum": "2b45f30ef1d550d302fd17dd3a5cbe19134ccc4c2cf50c2dae534aee600101a2"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 1783189846, "dataset_size": 302092096, "size_in_bytes": 2085281942}}

wmt_utils.py

@@ -23,7 +23,6 @@ import functools
 import glob
 import gzip
 import itertools
-import logging
 import os
 import re
 import xml.etree.cElementTree as ElementTree
@@ -34,6 +33,9 @@ import six
 import datasets
 
 
+logger = datasets.logging.get_logger(__name__)
+
+
 _DESCRIPTION = """\
 Translate dataset based on the data from statmt.org.
 
@@ -128,7 +130,7 @@ _TRAIN_SUBSETS = [
         name="commoncrawl",
         target="en",  # fr-de pair in commoncrawl_frde
         sources={"cs", "de", "es", "fr", "ru"},
-        url="http://www.statmt.org/wmt13/training-parallel-commoncrawl.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-commoncrawl.tgz",
         path=("commoncrawl.{src}-en.{src}", "commoncrawl.{src}-en.en"),
     ),
     SubDataset(
@@ -136,8 +138,8 @@ _TRAIN_SUBSETS = [
         target="de",
         sources={"fr"},
         url=(
-            "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/commoncrawl.fr.gz",
-            "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/commoncrawl.de.gz",
+            "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/commoncrawl.fr.gz",
+            "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/commoncrawl.de.gz",
         ),
         path=("", ""),
     ),
@@ -185,14 +187,14 @@ _TRAIN_SUBSETS = [
         name="dcep_v1",
         target="en",
         sources={"lv"},
-        url="http://data.statmt.org/wmt17/translation-task/dcep.lv-en.v1.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/dcep.lv-en.v1.tgz",
         path=("dcep.en-lv/dcep.lv", "dcep.en-lv/dcep.en"),
     ),
     SubDataset(
         name="europarl_v7",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="http://www.statmt.org/wmt13/training-parallel-europarl-v7.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-europarl-v7.tgz",
         path=("training/europarl-v7.{src}-en.{src}", "training/europarl-v7.{src}-en.en"),
     ),
     SubDataset(
@@ -200,8 +202,8 @@ _TRAIN_SUBSETS = [
         target="de",
         sources={"fr"},
         url=(
-            "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/europarl-v7.fr.gz",
-            "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/europarl-v7.de.gz",
+            "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/europarl-v7.fr.gz",
+            "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/europarl-v7.de.gz",
         ),
         path=("", ""),
     ),
@@ -209,28 +211,28 @@ _TRAIN_SUBSETS = [
         name="europarl_v8_18",
         target="en",
         sources={"et", "fi"},
-        url="http://data.statmt.org/wmt18/translation-task/training-parallel-ep-v8.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/training-parallel-ep-v8.tgz",
         path=("training/europarl-v8.{src}-en.{src}", "training/europarl-v8.{src}-en.en"),
     ),
     SubDataset(
         name="europarl_v8_16",
         target="en",
         sources={"fi", "ro"},
-        url="http://data.statmt.org/wmt16/translation-task/training-parallel-ep-v8.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt16/resolve/main/translation-task/training-parallel-ep-v8.tgz",
         path=("training-parallel-ep-v8/europarl-v8.{src}-en.{src}", "training-parallel-ep-v8/europarl-v8.{src}-en.en"),
     ),
     SubDataset(
         name="europarl_v9",
         target="en",
         sources={"cs", "de", "fi", "lt"},
-        url="http://www.statmt.org/europarl/v9/training/europarl-v9.{src}-en.tsv.gz",
+        url="https://huggingface.co/datasets/wmt/europarl/resolve/main/v9/training/europarl-v9.{src}-en.tsv.gz",
         path="",
     ),
     SubDataset(
         name="gigafren",
         target="en",
         sources={"fr"},
-        url="http://www.statmt.org/wmt10/training-giga-fren.tar",
+        url="https://huggingface.co/datasets/wmt/wmt10/resolve/main/training-giga-fren.tar",
         path=("giga-fren.release2.fixed.fr.gz", "giga-fren.release2.fixed.en.gz"),
     ),
     SubDataset(
@@ -245,35 +247,35 @@ _TRAIN_SUBSETS = [
         name="leta_v1",
         target="en",
         sources={"lv"},
-        url="http://data.statmt.org/wmt17/translation-task/leta.v1.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/leta.v1.tgz",
         path=("LETA-lv-en/leta.lv", "LETA-lv-en/leta.en"),
     ),
     SubDataset(
         name="multiun",
         target="en",
         sources={"es", "fr"},
-        url="http://www.statmt.org/wmt13/training-parallel-un.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-un.tgz",
         path=("un/undoc.2000.{src}-en.{src}", "un/undoc.2000.{src}-en.en"),
     ),
     SubDataset(
         name="newscommentary_v9",
         target="en",
         sources={"cs", "de", "fr", "ru"},
-        url="http://www.statmt.org/wmt14/training-parallel-nc-v9.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt14/resolve/main/training-parallel-nc-v9.tgz",
         path=("training/news-commentary-v9.{src}-en.{src}", "training/news-commentary-v9.{src}-en.en"),
     ),
     SubDataset(
         name="newscommentary_v10",
         target="en",
         sources={"cs", "de", "fr", "ru"},
-        url="http://www.statmt.org/wmt15/training-parallel-nc-v10.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/training-parallel-nc-v10.tgz",
         path=("news-commentary-v10.{src}-en.{src}", "news-commentary-v10.{src}-en.en"),
     ),
     SubDataset(
         name="newscommentary_v11",
         target="en",
         sources={"cs", "de", "ru"},
-        url="http://data.statmt.org/wmt16/translation-task/training-parallel-nc-v11.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt16/resolve/main/translation-task/training-parallel-nc-v11.tgz",
         path=(
             "training-parallel-nc-v11/news-commentary-v11.{src}-en.{src}",
             "training-parallel-nc-v11/news-commentary-v11.{src}-en.en",
@@ -283,14 +285,14 @@ _TRAIN_SUBSETS = [
         name="newscommentary_v12",
         target="en",
         sources={"cs", "de", "ru", "zh"},
-        url="http://data.statmt.org/wmt17/translation-task/training-parallel-nc-v12.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/training-parallel-nc-v12.tgz",
         path=("training/news-commentary-v12.{src}-en.{src}", "training/news-commentary-v12.{src}-en.en"),
     ),
     SubDataset(
         name="newscommentary_v13",
         target="en",
         sources={"cs", "de", "ru", "zh"},
-        url="http://data.statmt.org/wmt18/translation-task/training-parallel-nc-v13.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/training-parallel-nc-v13.tgz",
         path=(
             "training-parallel-nc-v13/news-commentary-v13.{src}-en.{src}",
             "training-parallel-nc-v13/news-commentary-v13.{src}-en.en",
@@ -314,7 +316,7 @@ _TRAIN_SUBSETS = [
         name="onlinebooks_v1",
         target="en",
         sources={"lv"},
-        url="http://data.statmt.org/wmt17/translation-task/books.lv-en.v1.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/books.lv-en.v1.tgz",
         path=("farewell/farewell.lv", "farewell/farewell.en"),
     ),
     SubDataset(
@@ -349,8 +351,8 @@ _TRAIN_SUBSETS = [
         target="de",
         sources={"fr"},
         url=(
-            "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/de-fr.bicleaner07.de.gz",
-            "http://data.statmt.org/wmt19/translation-task/fr-de/bitexts/de-fr.bicleaner07.fr.gz",
+            "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/de-fr.bicleaner07.de.gz",
+            "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/fr-de/bitexts/de-fr.bicleaner07.fr.gz",
         ),
         path=("", ""),
     ),
@@ -358,7 +360,7 @@ _TRAIN_SUBSETS = [
         name="rapid_2016",
         target="en",
         sources={"de", "et", "fi"},
-        url="http://data.statmt.org/wmt18/translation-task/rapid2016.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/rapid2016.tgz",
         path=("rapid2016.{0}-{1}.{src}", "rapid2016.{0}-{1}.en"),
     ),
     SubDataset(
@@ -379,28 +381,28 @@ _TRAIN_SUBSETS = [
         name="setimes_2",
         target="en",
         sources={"ro", "tr"},
-        url="http://opus.nlpl.eu/download.php?f=SETIMES/v2/tmx/en-{src}.tmx.gz",
+        url="https://opus.nlpl.eu/download.php?f=SETIMES/v2/tmx/en-{src}.tmx.gz",
         path="",
     ),
     SubDataset(
         name="uncorpus_v1",
         target="en",
         sources={"ru", "zh"},
-        url="https://storage.googleapis.com/tfdataset-data/downloadataset/uncorpus/UNv1.0.en-{src}.tar.gz",
+        url="https://huggingface.co/datasets/wmt/uncorpus/resolve/main/UNv1.0.en-{src}.tar.gz",
         path=("en-{src}/UNv1.0.en-{src}.{src}", "en-{src}/UNv1.0.en-{src}.en"),
     ),
     SubDataset(
         name="wikiheadlines_fi",
         target="en",
         sources={"fi"},
-        url="http://www.statmt.org/wmt15/wiki-titles.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/wiki-titles.tgz",
         path="wiki/fi-en/titles.fi-en",
     ),
     SubDataset(
         name="wikiheadlines_hi",
         target="en",
         sources={"hi"},
-        url="http://www.statmt.org/wmt14/wiki-titles.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt14/resolve/main/wiki-titles.tgz",
         path="wiki/hi-en/wiki-titles.hi-en",
     ),
     SubDataset(
@@ -408,14 +410,14 @@ _TRAIN_SUBSETS = [
         name="wikiheadlines_ru",
         target="en",
         sources={"ru"},
-        url="http://www.statmt.org/wmt15/wiki-titles.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/wiki-titles.tgz",
         path="wiki/ru-en/wiki.ru-en",
     ),
     SubDataset(
         name="wikititles_v1",
         target="en",
         sources={"cs", "de", "fi", "gu", "kk", "lt", "ru", "zh"},
-        url="http://data.statmt.org/wikititles/v1/wikititles-v1.{src}-en.tsv.gz",
+        url="https://huggingface.co/datasets/wmt/wikititles/resolve/main/v1/wikititles-v1.{src}-en.tsv.gz",
         path="",
     ),
     SubDataset(
@@ -443,175 +445,175 @@ _DEV_SUBSETS = [
         name="euelections_dev2019",
         target="de",
         sources={"fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/euelections_dev2019.fr-de.src.fr", "dev/euelections_dev2019.fr-de.tgt.de"),
     ),
     SubDataset(
         name="newsdev2014",
         target="en",
         sources={"hi"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdev2014.hi", "dev/newsdev2014.en"),
     ),
     SubDataset(
         name="newsdev2015",
         target="en",
         sources={"fi"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdev2015-fien-src.{src}.sgm", "dev/newsdev2015-fien-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscussdev2015",
         target="en",
         sources={"ro", "tr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdev2016",
         target="en",
         sources={"ro", "tr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdev2016-{src}en-src.{src}.sgm", "dev/newsdev2016-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdev2017",
         target="en",
         sources={"lv", "zh"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdev2017-{src}en-src.{src}.sgm", "dev/newsdev2017-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdev2018",
         target="en",
         sources={"et"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdev2018-{src}en-src.{src}.sgm", "dev/newsdev2018-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdev2019",
         target="en",
         sources={"gu", "kk", "lt"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdev2019-{src}en-src.{src}.sgm", "dev/newsdev2019-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscussdev2015",
         target="en",
         sources={"fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscusstest2015",
         target="en",
         sources={"fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdiscusstest2015-{src}en-src.{src}.sgm", "dev/newsdiscusstest2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newssyscomb2009",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newssyscomb2009.{src}", "dev/newssyscomb2009.en"),
     ),
     SubDataset(
         name="newstest2008",
         target="en",
         sources={"cs", "de", "es", "fr", "hu"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/news-test2008.{src}", "dev/news-test2008.en"),
     ),
     SubDataset(
         name="newstest2009",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2009.{src}", "dev/newstest2009.en"),
     ),
     SubDataset(
         name="newstest2010",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2010.{src}", "dev/newstest2010.en"),
     ),
     SubDataset(
         name="newstest2011",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2011.{src}", "dev/newstest2011.en"),
     ),
     SubDataset(
         name="newstest2012",
         target="en",
         sources={"cs", "de", "es", "fr", "ru"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2012.{src}", "dev/newstest2012.en"),
     ),
     SubDataset(
         name="newstest2013",
         target="en",
         sources={"cs", "de", "es", "fr", "ru"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2013.{src}", "dev/newstest2013.en"),
     ),
     SubDataset(
         name="newstest2014",
         target="en",
         sources={"cs", "de", "es", "fr", "hi", "ru"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2014-{src}en-src.{src}.sgm", "dev/newstest2014-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newstest2015",
         target="en",
         sources={"cs", "de", "fi", "ru"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2015-{src}en-src.{src}.sgm", "dev/newstest2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscusstest2015",
         target="en",
         sources={"fr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newsdiscusstest2015-{src}en-src.{src}.sgm", "dev/newsdiscusstest2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newstest2016",
         target="en",
         sources={"cs", "de", "fi", "ro", "ru", "tr"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2016-{src}en-src.{src}.sgm", "dev/newstest2016-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newstestB2016",
         target="en",
         sources={"fi"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstestB2016-enfi-ref.{src}.sgm", "dev/newstestB2016-enfi-src.en.sgm"),
     ),
     SubDataset(
         name="newstest2017",
         target="en",
         sources={"cs", "de", "fi", "lv", "ru", "tr", "zh"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2017-{src}en-src.{src}.sgm", "dev/newstest2017-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newstestB2017",
         target="en",
         sources={"fi"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstestB2017-fien-src.fi.sgm", "dev/newstestB2017-fien-ref.en.sgm"),
     ),
     SubDataset(
         name="newstest2018",
         target="en",
         sources={"cs", "de", "et", "fi", "ru", "tr", "zh"},
-        url="http://data.statmt.org/wmt19/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
         path=("dev/newstest2018-{src}en-src.{src}.sgm", "dev/newstest2018-{src}en-ref.en.sgm"),
     ),
 ]
@@ -693,10 +695,10 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
             for ss_name in ss_names:
                 dataset = DATASET_MAP[ss_name]
                 if dataset.target != target or source not in dataset.sources:
-                    logging.info("Skipping sub-dataset that does not include language pair: %s", ss_name)
+                    logger.info("Skipping sub-dataset that does not include language pair: %s", ss_name)
                 else:
                     filtered_subsets[split].append(ss_name)
-        logging.info("Using sub-datasets: %s", filtered_subsets)
+        logger.info("Using sub-datasets: %s", filtered_subsets)
         return filtered_subsets
 
     def _info(self):
@@ -731,7 +733,7 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
             if dataset.get_manual_dl_files(source):
                 # TODO(PVP): following two lines skip configs that are incomplete for now
                 # +++++++++++++++++++++
-                logging.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
+                logger.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
                 continue
                 # +++++++++++++++++++++
 
@@ -786,11 +788,11 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
             dataset = DATASET_MAP[ss_name]
             source, _ = self.config.language_pair
             if dataset.get_manual_dl_files(source):
-                logging.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
+                logger.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
                 continue
             # +++++++++++++++++++++
 
-            logging.info("Generating examples from: %s", ss_name)
+            logger.info("Generating examples from: %s", ss_name)
             dataset = DATASET_MAP[ss_name]
             extract_dirs = extraction_map[ss_name]
             files = _get_local_paths(dataset, extract_dirs)
@@ -962,7 +964,7 @@ def _parse_tsv(path, language_pair=None):
         for j, line in enumerate(f):
             cols = line.split("\t")
             if len(cols) != 2:
-                logging.warning("Skipping line %d in TSV (%s) with %d != 2 columns.", j, path, len(cols))
+                logger.warning("Skipping line %d in TSV (%s) with %d != 2 columns.", j, path, len(cols))
                 continue
             s1, s2 = cols
             yield j, {l1: s1.strip(), l2: s2.strip()}
@@ -986,7 +988,7 @@ def _parse_czeng(*paths, **kwargs):
         re_block = re.compile(r"^[^-]+-b(\d+)-\d\d[tde]")
         with open(filter_path, encoding="utf-8") as f:
             bad_blocks = {blk for blk in re.search(r"qw{([\s\d]*)}", f.read()).groups()[0].split()}
-        logging.info("Loaded %d bad blocks to filter from CzEng v1.6 to make v1.7.", len(bad_blocks))
+        logger.info("Loaded %d bad blocks to filter from CzEng v1.6 to make v1.7.", len(bad_blocks))
 
     for path in paths:
         for gz_path in sorted(glob.glob(path)):
@@ -1013,6 +1015,6 @@ def _parse_hindencorp(path):
         for line_id, line in enumerate(f):
             split_line = line.split("\t")
             if len(split_line) != 5:
-                logging.warning("Skipping invalid HindEnCorp line: %s", line)
+                logger.warning("Skipping invalid HindEnCorp line: %s", line)
                 continue
             yield line_id, {"translation": {"en": split_line[3].strip(), "hi": split_line[4].strip()}}