Update files from the datasets library (from 1.16.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.16.0

README.md

@@ -1,5 +1,12 @@
 ---
+pretty_name: WMT14
 paperswithcode_id: wmt-2014
+multilinguality:
+- translation
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
 ---
 
 # Dataset Card for "wmt14"

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:2014:W14-33,\n  author    = {Bojar, Ondrej  and  Buck, Christian  and  Federmann, Christian  and  Haddow, Barry  and  Koehn, Philipp  and  Leveling, Johannes  and  Monz, Christof  and  Pecina, Pavel  and  Post, Matt  and  Saint-Amand, Herve  and  Soricut, Radu  and  Specia, Lucia  and  Tamchyna, Ale\u000b{s}},\n  title     = {Findings of the 2014 Workshop on Statistical Machine Translation},\n  booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},\n  month     = {June},\n  year      = {2014},\n  address   = {Baltimore, Maryland, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {12--58},\n  url       = {http://www.aclweb.org/anthology/W/W14/W14-3302}\n}\n", "homepage": "http://www.statmt.org/wmt14/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "supervised_keys": {"input": "cs", "output": "en"}, "builder_name": "wmt14", "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": 759321, "num_examples": 3003, "dataset_name": "wmt14"}, "train": {"name": "train", "num_bytes": 281479898, "num_examples": 953621, "dataset_name": "wmt14"}, "validation": {"name": "validation", "num_bytes": 703973, "num_examples": 3000, "dataset_name": "wmt14"}}, "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/wmt14/resolve/main/training-parallel-nc-v9.tgz": {"num_bytes": 80418416, "checksum": "cb8953f292298e6877ae433c98912b927cb0766b303f4540512ddd286c748485"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz": {"num_bytes": 38654961, "checksum": "7a7deccf82ebb05ba508dba5eb21356492224e8f630ec4f992132b029b4b25e7"}}, "download_size": 1695017123, "dataset_size": 282943192, "size_in_bytes": 1977960315}}
+{"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:2014:W14-33,\n  author    = {Bojar, Ondrej  and  Buck, Christian  and  Federmann, Christian  and  Haddow, Barry  and  Koehn, Philipp  and  Leveling, Johannes  and  Monz, Christof  and  Pecina, Pavel  and  Post, Matt  and  Saint-Amand, Herve  and  Soricut, Radu  and  Specia, Lucia  and  Tamchyna, Ale\u000b{s}},\n  title     = {Findings of the 2014 Workshop on Statistical Machine Translation},\n  booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},\n  month     = {June},\n  year      = {2014},\n  address   = {Baltimore, Maryland, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {12--58},\n  url       = {http://www.aclweb.org/anthology/W/W14/W14-3302}\n}\n", "homepage": "http://www.statmt.org/wmt14/translation-task.html", "license": "", "features": {"translation": {"languages": ["cs", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "cs", "output": "en"}, "task_templates": null, "builder_name": "wmt14", "config_name": "cs-en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 280992794, "num_examples": 953621, "dataset_name": "wmt14"}, "validation": {"name": "validation", "num_bytes": 702473, "num_examples": 3000, "dataset_name": "wmt14"}, "test": {"name": "test", "num_bytes": 757817, "num_examples": 3003, "dataset_name": "wmt14"}}, "download_checksums": {"https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-europarl-v7.zip": {"num_bytes": 658092427, "checksum": "5b2d8b32c2396da739b4e731871c597fcc6e75729becd74619d0712eecf7770e"}, "https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-commoncrawl.zip": {"num_bytes": 918734483, "checksum": "5ffe980072ea29adfd84568d099bea366d9f72772b988e670794ae851b4e5627"}, "https://huggingface.co/datasets/wmt/wmt14/resolve/main-zip/training-parallel-nc-v9.zip": {"num_bytes": 80462375, "checksum": "ce199f93ec56ff480137ba29f0819f9a22e70d88be6d7458f112303d67d623d5"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip": {"num_bytes": 38714274, "checksum": "d796e363740fdc4261aa6f5a3d2f8223e3adaee7d737b7724863325b8956dfd1"}}, "download_size": 1696003559, "post_processing_size": null, "dataset_size": 282453084, "size_in_bytes": 1978456643}, "de-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:2014:W14-33,\n  author    = {Bojar, Ondrej  and  Buck, Christian  and  Federmann, Christian  and  Haddow, Barry  and  Koehn, Philipp  and  Leveling, Johannes  and  Monz, Christof  and  Pecina, Pavel  and  Post, Matt  and  Saint-Amand, Herve  and  Soricut, Radu  and  Specia, Lucia  and  Tamchyna, Ale\u000b{s}},\n  title     = {Findings of the 2014 Workshop on Statistical Machine Translation},\n  booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},\n  month     = {June},\n  year      = {2014},\n  address   = {Baltimore, Maryland, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {12--58},\n  url       = {http://www.aclweb.org/anthology/W/W14/W14-3302}\n}\n", "homepage": "http://www.statmt.org/wmt14/translation-task.html", "license": "", "features": {"translation": {"languages": ["de", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "de", "output": "en"}, "task_templates": null, "builder_name": "wmt14", "config_name": "de-en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1358410408, "num_examples": 4508785, "dataset_name": "wmt14"}, "validation": {"name": "validation", "num_bytes": 736415, "num_examples": 3000, "dataset_name": "wmt14"}, "test": {"name": "test", "num_bytes": 777334, "num_examples": 3003, "dataset_name": "wmt14"}}, "download_checksums": {"https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-europarl-v7.zip": {"num_bytes": 658092427, "checksum": "5b2d8b32c2396da739b4e731871c597fcc6e75729becd74619d0712eecf7770e"}, "https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-commoncrawl.zip": {"num_bytes": 918734483, "checksum": "5ffe980072ea29adfd84568d099bea366d9f72772b988e670794ae851b4e5627"}, "https://huggingface.co/datasets/wmt/wmt14/resolve/main-zip/training-parallel-nc-v9.zip": {"num_bytes": 80462375, "checksum": "ce199f93ec56ff480137ba29f0819f9a22e70d88be6d7458f112303d67d623d5"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip": {"num_bytes": 38714274, "checksum": "d796e363740fdc4261aa6f5a3d2f8223e3adaee7d737b7724863325b8956dfd1"}}, "download_size": 1696003559, "post_processing_size": null, "dataset_size": 1359924157, "size_in_bytes": 3055927716}, "fr-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:2014:W14-33,\n  author    = {Bojar, Ondrej  and  Buck, Christian  and  Federmann, Christian  and  Haddow, Barry  and  Koehn, Philipp  and  Leveling, Johannes  and  Monz, Christof  and  Pecina, Pavel  and  Post, Matt  and  Saint-Amand, Herve  and  Soricut, Radu  and  Specia, Lucia  and  Tamchyna, Ale\u000b{s}},\n  title     = {Findings of the 2014 Workshop on Statistical Machine Translation},\n  booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},\n  month     = {June},\n  year      = {2014},\n  address   = {Baltimore, Maryland, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {12--58},\n  url       = {http://www.aclweb.org/anthology/W/W14/W14-3302}\n}\n", "homepage": "http://www.statmt.org/wmt14/translation-task.html", "license": "", "features": {"translation": {"languages": ["fr", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "fr", "output": "en"}, "task_templates": null, "builder_name": "wmt14", "config_name": "fr-en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 14752554924, "num_examples": 40836715, "dataset_name": "wmt14"}, "validation": {"name": "validation", "num_bytes": 744447, "num_examples": 3000, "dataset_name": "wmt14"}, "test": {"name": "test", "num_bytes": 838857, "num_examples": 3003, "dataset_name": "wmt14"}}, "download_checksums": {"https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-europarl-v7.zip": {"num_bytes": 658092427, "checksum": "5b2d8b32c2396da739b4e731871c597fcc6e75729becd74619d0712eecf7770e"}, "https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-commoncrawl.zip": {"num_bytes": 918734483, "checksum": "5ffe980072ea29adfd84568d099bea366d9f72772b988e670794ae851b4e5627"}, "https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-un.zip": {"num_bytes": 2366237633, "checksum": "74f07002e053c81bc7f73b4fdab58e7987e831338748f264cbda82a8b062d2e2"}, "https://huggingface.co/datasets/wmt/wmt14/resolve/main-zip/training-parallel-nc-v9.zip": {"num_bytes": 80462375, "checksum": "ce199f93ec56ff480137ba29f0819f9a22e70d88be6d7458f112303d67d623d5"}, "https://huggingface.co/datasets/wmt/wmt10/resolve/main-zip/training-giga-fren.zip": {"num_bytes": 2595877717, "checksum": "9439f86523e5dff3f923526dbf6c6929da1786c18dbf64436d2b7564b83aaba3"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip": {"num_bytes": 38714274, "checksum": "d796e363740fdc4261aa6f5a3d2f8223e3adaee7d737b7724863325b8956dfd1"}}, "download_size": 6658118909, "post_processing_size": null, "dataset_size": 14754138228, "size_in_bytes": 21412257137}, "hi-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:2014:W14-33,\n  author    = {Bojar, Ondrej  and  Buck, Christian  and  Federmann, Christian  and  Haddow, Barry  and  Koehn, Philipp  and  Leveling, Johannes  and  Monz, Christof  and  Pecina, Pavel  and  Post, Matt  and  Saint-Amand, Herve  and  Soricut, Radu  and  Specia, Lucia  and  Tamchyna, Ale\u000b{s}},\n  title     = {Findings of the 2014 Workshop on Statistical Machine Translation},\n  booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},\n  month     = {June},\n  year      = {2014},\n  address   = {Baltimore, Maryland, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {12--58},\n  url       = {http://www.aclweb.org/anthology/W/W14/W14-3302}\n}\n", "homepage": "http://www.statmt.org/wmt14/translation-task.html", "license": "", "features": {"translation": {"languages": ["hi", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "hi", "output": "en"}, "task_templates": null, "builder_name": "wmt14", "config_name": "hi-en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1936035, "num_examples": 32863, "dataset_name": "wmt14"}, "validation": {"name": "validation", "num_bytes": 181465, "num_examples": 520, "dataset_name": "wmt14"}, "test": {"name": "test", "num_bytes": 1075016, "num_examples": 2507, "dataset_name": "wmt14"}}, "download_checksums": {"https://huggingface.co/datasets/wmt/wmt14/resolve/main-zip/wiki-titles.zip": {"num_bytes": 8165410, "checksum": "72aa3109be74d0ecadc82c1121118878934ca234f260cfd4e4766a25e16fdbb1"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip": {"num_bytes": 38714274, "checksum": "d796e363740fdc4261aa6f5a3d2f8223e3adaee7d737b7724863325b8956dfd1"}}, "download_size": 46879684, "post_processing_size": null, "dataset_size": 3192516, "size_in_bytes": 50072200}, "ru-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:2014:W14-33,\n  author    = {Bojar, Ondrej  and  Buck, Christian  and  Federmann, Christian  and  Haddow, Barry  and  Koehn, Philipp  and  Leveling, Johannes  and  Monz, Christof  and  Pecina, Pavel  and  Post, Matt  and  Saint-Amand, Herve  and  Soricut, Radu  and  Specia, Lucia  and  Tamchyna, Ale\u000b{s}},\n  title     = {Findings of the 2014 Workshop on Statistical Machine Translation},\n  booktitle = {Proceedings of the Ninth Workshop on Statistical Machine Translation},\n  month     = {June},\n  year      = {2014},\n  address   = {Baltimore, Maryland, USA},\n  publisher = {Association for Computational Linguistics},\n  pages     = {12--58},\n  url       = {http://www.aclweb.org/anthology/W/W14/W14-3302}\n}\n", "homepage": "http://www.statmt.org/wmt14/translation-task.html", "license": "", "features": {"translation": {"languages": ["ru", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "ru", "output": "en"}, "task_templates": null, "builder_name": "wmt14", "config_name": "ru-en", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 433210270, "num_examples": 1486965, "dataset_name": "wmt14"}, "validation": {"name": "validation", "num_bytes": 977946, "num_examples": 3000, "dataset_name": "wmt14"}, "test": {"name": "test", "num_bytes": 1087746, "num_examples": 3003, "dataset_name": "wmt14"}}, "download_checksums": {"https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-commoncrawl.zip": {"num_bytes": 918734483, "checksum": "5ffe980072ea29adfd84568d099bea366d9f72772b988e670794ae851b4e5627"}, "https://huggingface.co/datasets/wmt/wmt14/resolve/main-zip/training-parallel-nc-v9.zip": {"num_bytes": 80462375, "checksum": "ce199f93ec56ff480137ba29f0819f9a22e70d88be6d7458f112303d67d623d5"}, "https://huggingface.co/datasets/wmt/wmt15/resolve/main-zip/wiki-titles.zip": {"num_bytes": 9485604, "checksum": "b3134566261b39d830eed345df1be1864039339cfeccf24b1bf86398c9e4a87c"}, "https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip": {"num_bytes": 38714274, "checksum": "d796e363740fdc4261aa6f5a3d2f8223e3adaee7d737b7724863325b8956dfd1"}}, "download_size": 1047396736, "post_processing_size": null, "dataset_size": 435275962, "size_in_bytes": 1482672698}}

dummy/cs-en/1.0.0/dummy_data.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4ff6b16c27e76fefe543e636f655065163a43fdbece6584a5e2ca85be812b2f5
-size 4364
+oid sha256:2378379d166d875de3a4b6229e742982f2a667388a37101d747db77b599459fa
+size 6748

wmt_utils.py

@@ -96,7 +96,7 @@ class SubDataset:
     def _inject_language(self, src, strings):
         """Injects languages into (potentially) template strings."""
         if src not in self.sources:
-            raise ValueError("Invalid source for '{0}': {1}".format(self.name, src))
+            raise ValueError(f"Invalid source for '{self.name}': {src}")
 
         def _format_string(s):
             if "{0}" in s and "{1}" and "{src}" in s:
@@ -127,7 +127,7 @@ _TRAIN_SUBSETS = [
         name="commoncrawl",
         target="en",  # fr-de pair in commoncrawl_frde
         sources={"cs", "de", "es", "fr", "ru"},
-        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-commoncrawl.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-commoncrawl.zip",
         path=("commoncrawl.{src}-en.{src}", "commoncrawl.{src}-en.en"),
     ),
     SubDataset(
@@ -184,14 +184,14 @@ _TRAIN_SUBSETS = [
         name="dcep_v1",
         target="en",
         sources={"lv"},
-        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/dcep.lv-en.v1.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main-zip/translation-task/dcep.lv-en.v1.zip",
         path=("dcep.en-lv/dcep.lv", "dcep.en-lv/dcep.en"),
     ),
     SubDataset(
         name="europarl_v7",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-europarl-v7.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-europarl-v7.zip",
         path=("training/europarl-v7.{src}-en.{src}", "training/europarl-v7.{src}-en.en"),
     ),
     SubDataset(
@@ -208,14 +208,14 @@ _TRAIN_SUBSETS = [
         name="europarl_v8_18",
         target="en",
         sources={"et", "fi"},
-        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/training-parallel-ep-v8.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main-zip/translation-task/training-parallel-ep-v8.zip",
         path=("training/europarl-v8.{src}-en.{src}", "training/europarl-v8.{src}-en.en"),
     ),
     SubDataset(
         name="europarl_v8_16",
         target="en",
         sources={"fi", "ro"},
-        url="https://huggingface.co/datasets/wmt/wmt16/resolve/main/translation-task/training-parallel-ep-v8.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt16/resolve/main-zip/translation-task/training-parallel-ep-v8.zip",
         path=("training-parallel-ep-v8/europarl-v8.{src}-en.{src}", "training-parallel-ep-v8/europarl-v8.{src}-en.en"),
     ),
     SubDataset(
@@ -229,7 +229,7 @@ _TRAIN_SUBSETS = [
         name="gigafren",
         target="en",
         sources={"fr"},
-        url="https://huggingface.co/datasets/wmt/wmt10/resolve/main/training-giga-fren.tar",
+        url="https://huggingface.co/datasets/wmt/wmt10/resolve/main-zip/training-giga-fren.zip",
         path=("giga-fren.release2.fixed.fr.gz", "giga-fren.release2.fixed.en.gz"),
     ),
     SubDataset(
@@ -244,35 +244,35 @@ _TRAIN_SUBSETS = [
         name="leta_v1",
         target="en",
         sources={"lv"},
-        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/leta.v1.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main-zip/translation-task/leta.v1.zip",
         path=("LETA-lv-en/leta.lv", "LETA-lv-en/leta.en"),
     ),
     SubDataset(
         name="multiun",
         target="en",
         sources={"es", "fr"},
-        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main/training-parallel-un.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt13/resolve/main-zip/training-parallel-un.zip",
         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="https://huggingface.co/datasets/wmt/wmt14/resolve/main/training-parallel-nc-v9.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt14/resolve/main-zip/training-parallel-nc-v9.zip",
         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="https://huggingface.co/datasets/wmt/wmt15/resolve/main/training-parallel-nc-v10.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main-zip/training-parallel-nc-v10.zip",
         path=("news-commentary-v10.{src}-en.{src}", "news-commentary-v10.{src}-en.en"),
     ),
     SubDataset(
         name="newscommentary_v11",
         target="en",
         sources={"cs", "de", "ru"},
-        url="https://huggingface.co/datasets/wmt/wmt16/resolve/main/translation-task/training-parallel-nc-v11.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt16/resolve/main-zip/translation-task/training-parallel-nc-v11.zip",
         path=(
             "training-parallel-nc-v11/news-commentary-v11.{src}-en.{src}",
             "training-parallel-nc-v11/news-commentary-v11.{src}-en.en",
@@ -282,14 +282,14 @@ _TRAIN_SUBSETS = [
         name="newscommentary_v12",
         target="en",
         sources={"cs", "de", "ru", "zh"},
-        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/training-parallel-nc-v12.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main-zip/translation-task/training-parallel-nc-v12.zip",
         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="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/training-parallel-nc-v13.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main-zip/translation-task/training-parallel-nc-v13.zip",
         path=(
             "training-parallel-nc-v13/news-commentary-v13.{src}-en.{src}",
             "training-parallel-nc-v13/news-commentary-v13.{src}-en.en",
@@ -313,14 +313,14 @@ _TRAIN_SUBSETS = [
         name="onlinebooks_v1",
         target="en",
         sources={"lv"},
-        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main/translation-task/books.lv-en.v1.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt17/resolve/main-zip/translation-task/books.lv-en.v1.zip",
         path=("farewell/farewell.lv", "farewell/farewell.en"),
     ),
     SubDataset(
         name="paracrawl_v1",
         target="en",
         sources={"cs", "de", "et", "fi", "ru"},
-        url="https://s3.amazonaws.com/web-language-models/paracrawl/release1/paracrawl-release1.en-{src}.zipporah0-dedup-clean.tgz",
+        url="https://s3.amazonaws.com/web-language-models/paracrawl/release1/paracrawl-release1.en-{src}.zipporah0-dedup-clean.tgz",  # TODO(QL): use gzip for streaming
         path=(
             "paracrawl-release1.en-{src}.zipporah0-dedup-clean.{src}",
             "paracrawl-release1.en-{src}.zipporah0-dedup-clean.en",
@@ -330,7 +330,7 @@ _TRAIN_SUBSETS = [
         name="paracrawl_v1_ru",
         target="en",
         sources={"ru"},
-        url="https://s3.amazonaws.com/web-language-models/paracrawl/release1/paracrawl-release1.en-ru.zipporah0-dedup-clean.tgz",
+        url="https://s3.amazonaws.com/web-language-models/paracrawl/release1/paracrawl-release1.en-ru.zipporah0-dedup-clean.tgz",  # TODO(QL): use gzip for streaming
         path=(
             "paracrawl-release1.en-ru.zipporah0-dedup-clean.ru",
             "paracrawl-release1.en-ru.zipporah0-dedup-clean.en",
@@ -357,7 +357,7 @@ _TRAIN_SUBSETS = [
         name="rapid_2016",
         target="en",
         sources={"de", "et", "fi"},
-        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main/translation-task/rapid2016.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt18/resolve/main-zip/translation-task/rapid2016.zip",
         path=("rapid2016.{0}-{1}.{src}", "rapid2016.{0}-{1}.en"),
     ),
     SubDataset(
@@ -385,21 +385,21 @@ _TRAIN_SUBSETS = [
         name="uncorpus_v1",
         target="en",
         sources={"ru", "zh"},
-        url="https://huggingface.co/datasets/wmt/uncorpus/resolve/main/UNv1.0.en-{src}.tar.gz",
+        url="https://huggingface.co/datasets/wmt/uncorpus/resolve/main-zip/UNv1.0.en-{src}.zip",
         path=("en-{src}/UNv1.0.en-{src}.{src}", "en-{src}/UNv1.0.en-{src}.en"),
     ),
     SubDataset(
         name="wikiheadlines_fi",
         target="en",
         sources={"fi"},
-        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/wiki-titles.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main-zip/wiki-titles.zip",
         path="wiki/fi-en/titles.fi-en",
     ),
     SubDataset(
         name="wikiheadlines_hi",
         target="en",
         sources={"hi"},
-        url="https://huggingface.co/datasets/wmt/wmt14/resolve/main/wiki-titles.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt14/resolve/main-zip/wiki-titles.zip",
         path="wiki/hi-en/wiki-titles.hi-en",
     ),
     SubDataset(
@@ -407,7 +407,7 @@ _TRAIN_SUBSETS = [
         name="wikiheadlines_ru",
         target="en",
         sources={"ru"},
-        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main/wiki-titles.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt15/resolve/main-zip/wiki-titles.zip",
         path="wiki/ru-en/wiki.ru-en",
     ),
     SubDataset(
@@ -431,7 +431,7 @@ _TRAIN_SUBSETS = [
         name=ss,
         target="en",
         sources={"zh"},
-        url="ftp://cwmt-wmt:cwmt-wmt@datasets.nju.edu.cn/parallel/%s.zip" % ss,
+        url="http://www.hackcha.cn/cwmt_data//%s.zip" % ss,
         path=("%s/*_c[hn].txt" % ss, "%s/*_en.txt" % ss),
     )
     for ss in CWMT_SUBSET_NAMES
@@ -442,175 +442,175 @@ _DEV_SUBSETS = [
         name="euelections_dev2019",
         target="de",
         sources={"fr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/euelections_dev2019.fr-de.src.fr", "dev/euelections_dev2019.fr-de.tgt.de"),
     ),
     SubDataset(
         name="newsdev2014",
         target="en",
         sources={"hi"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newsdev2014.hi", "dev/newsdev2014.en"),
     ),
     SubDataset(
         name="newsdev2015",
         target="en",
         sources={"fi"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newsdev2015-fien-src.{src}.sgm", "dev/newsdev2015-fien-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscussdev2015",
         target="en",
         sources={"ro", "tr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdev2016",
         target="en",
         sources={"ro", "tr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newsdev2016-{src}en-src.{src}.sgm", "dev/newsdev2016-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdev2017",
         target="en",
         sources={"lv", "zh"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newsdev2017-{src}en-src.{src}.sgm", "dev/newsdev2017-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdev2018",
         target="en",
         sources={"et"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         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="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newsdev2019-{src}en-src.{src}.sgm", "dev/newsdev2019-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscussdev2015",
         target="en",
         sources={"fr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newsdiscussdev2015-{src}en-src.{src}.sgm", "dev/newsdiscussdev2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscusstest2015",
         target="en",
         sources={"fr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         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="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newssyscomb2009.{src}", "dev/newssyscomb2009.en"),
     ),
     SubDataset(
         name="newstest2008",
         target="en",
         sources={"cs", "de", "es", "fr", "hu"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/news-test2008.{src}", "dev/news-test2008.en"),
     ),
     SubDataset(
         name="newstest2009",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2009.{src}", "dev/newstest2009.en"),
     ),
     SubDataset(
         name="newstest2010",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2010.{src}", "dev/newstest2010.en"),
     ),
     SubDataset(
         name="newstest2011",
         target="en",
         sources={"cs", "de", "es", "fr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2011.{src}", "dev/newstest2011.en"),
     ),
     SubDataset(
         name="newstest2012",
         target="en",
         sources={"cs", "de", "es", "fr", "ru"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2012.{src}", "dev/newstest2012.en"),
     ),
     SubDataset(
         name="newstest2013",
         target="en",
         sources={"cs", "de", "es", "fr", "ru"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2013.{src}", "dev/newstest2013.en"),
     ),
     SubDataset(
         name="newstest2014",
         target="en",
         sources={"cs", "de", "es", "fr", "hi", "ru"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         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="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2015-{src}en-src.{src}.sgm", "dev/newstest2015-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newsdiscusstest2015",
         target="en",
         sources={"fr"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         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="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2016-{src}en-src.{src}.sgm", "dev/newstest2016-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newstestB2016",
         target="en",
         sources={"fi"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         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="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2017-{src}en-src.{src}.sgm", "dev/newstest2017-{src}en-ref.en.sgm"),
     ),
     SubDataset(
         name="newstestB2017",
         target="en",
         sources={"fi"},
-        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         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="https://huggingface.co/datasets/wmt/wmt19/resolve/main/translation-task/dev.tgz",
+        url="https://huggingface.co/datasets/wmt/wmt19/resolve/main-zip/translation-task/dev.zip",
         path=("dev/newstest2018-{src}en-src.{src}.sgm", "dev/newstest2018-{src}en-ref.en.sgm"),
     ),
 ]
@@ -658,9 +658,7 @@ class WmtConfig(datasets.BuilderConfig):
         # TODO(PVP): remove when manual dir works
         # +++++++++++++++++++++
         if language_pair[1] in ["cs", "hi", "ru"]:
-            assert NotImplementedError(
-                "The dataset for {}-en is currently not fully supported.".format(language_pair[1])
-            )
+            assert NotImplementedError(f"The dataset for {language_pair[1]}-en is currently not fully supported.")
         # +++++++++++++++++++++
 
 
@@ -730,7 +728,7 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
             if dataset.get_manual_dl_files(source):
                 # TODO(PVP): following two lines skip configs that are incomplete for now
                 # +++++++++++++++++++++
-                logger.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
+                logger.info(f"Skipping {dataset.name} for now. Incomplete dataset for {self.config.name}")
                 continue
                 # +++++++++++++++++++++
 
@@ -741,9 +739,7 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
                 ]
                 assert all(
                     os.path.exists(path) for path in manual_paths
-                ), "For {0}, you must manually download the following file(s) from {1} and place them in {2}: {3}".format(
-                    dataset.name, dataset.get_url(source), dl_manager.manual_dir, ", ".join(manual_dl_files)
-                )
+                ), f"For {dataset.name}, you must manually download the following file(s) from {dataset.get_url(source)} and place them in {dl_manager.manual_dir}: {', '.join(manual_dl_files)}"
 
                 # set manual path for correct subset
                 manual_paths_dict[ss_name] = manual_paths
@@ -779,20 +775,31 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
                 for ex_dir, rel_path in zip(extract_dirs, rel_paths)
             ]
 
+        def _get_filenames(dataset):
+            rel_paths = dataset.get_path(source)
+            urls = dataset.get_url(source)
+            if len(urls) == 1:
+                urls = urls * len(rel_paths)
+            return [rel_path if rel_path else os.path.basename(url) for url, rel_path in zip(urls, rel_paths)]
+
         for ss_name in split_subsets:
             # TODO(PVP) remove following five lines when manual data works
             # +++++++++++++++++++++
             dataset = DATASET_MAP[ss_name]
             source, _ = self.config.language_pair
             if dataset.get_manual_dl_files(source):
-                logger.info("Skipping {} for now. Incomplete dataset for {}".format(dataset.name, self.config.name))
+                logger.info(f"Skipping {dataset.name} for now. Incomplete dataset for {self.config.name}")
                 continue
             # +++++++++++++++++++++
 
             logger.info("Generating examples from: %s", ss_name)
+            print("Generating examples from: %s", ss_name)
             dataset = DATASET_MAP[ss_name]
             extract_dirs = extraction_map[ss_name]
             files = _get_local_paths(dataset, extract_dirs)
+            filenames = _get_filenames(dataset)
+
+            sub_generator_args = tuple(files)
 
             if ss_name.startswith("czeng"):
                 if ss_name.endswith("16pre"):
@@ -809,8 +816,9 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
                     sub_generator = _parse_frde_bitext
                 else:
                     sub_generator = _parse_parallel_sentences
+                    sub_generator_args += tuple(filenames)
             elif len(files) == 1:
-                fname = files[0]
+                fname = filenames[0]
                 # Note: Due to formatting used by `download_manager`, the file
                 # extension may not be at the end of the file path.
                 if ".tsv" in fname:
@@ -830,28 +838,33 @@ class Wmt(ABC, datasets.GeneratorBasedBuilder):
             else:
                 raise ValueError("Invalid number of files: %d" % len(files))
 
-            for sub_key, ex in sub_generator(*files):
+            for sub_key, ex in sub_generator(*sub_generator_args):
                 if not all(ex.values()):
                     continue
                 # TODO(adarob): Add subset feature.
                 # ex["subset"] = subset
-                key = "{}/{}".format(ss_name, sub_key)
+                key = f"{ss_name}/{sub_key}"
                 if with_translation is True:
                     ex = {"translation": ex}
                 yield key, ex
 
 
-def _parse_parallel_sentences(f1, f2):
+def _parse_parallel_sentences(f1, f2, filename1, filename2):
     """Returns examples from parallel SGML or text files, which may be gzipped."""
 
-    def _parse_text(path):
+    def _parse_text(path, original_filename):
         """Returns the sentences from a single text file, which may be gzipped."""
-        split_path = path.split(".")
+        split_path = original_filename.split(".")
 
         if split_path[-1] == "gz":
             lang = split_path[-2]
-            with open(path, "rb") as f, gzip.GzipFile(fileobj=f) as g:
-                return g.read().decode("utf-8").split("\n"), lang
+
+            def gen():
+                with open(path, "rb") as f, gzip.GzipFile(fileobj=f) as g:
+                    for line in g:
+                        yield line.decode("utf-8").rstrip()
+
+            return gen(), lang
 
         if split_path[-1] == "txt":
             # CWMT
@@ -859,25 +872,32 @@ def _parse_parallel_sentences(f1, f2):
             lang = "zh" if lang in ("ch", "cn") else lang
         else:
             lang = split_path[-1]
-        with open(path, "rb") as f:
-            return f.read().decode("utf-8").split("\n"), lang
 
-    def _parse_sgm(path):
+        def gen():
+            with open(path, "rb") as f:
+                for line in f:
+                    yield line.decode("utf-8").rstrip()
+
+        return gen(), lang
+
+    def _parse_sgm(path, original_filename):
         """Returns sentences from a single SGML file."""
-        lang = path.split(".")[-2]
-        sentences = []
+        lang = original_filename.split(".")[-2]
         # Note: We can't use the XML parser since some of the files are badly
         # formatted.
         seg_re = re.compile(r"<seg id=\"\d+\">(.*)</seg>")
-        with open(path, encoding="utf-8") as f:
-            for line in f:
-                seg_match = re.match(seg_re, line)
-                if seg_match:
-                    assert len(seg_match.groups()) == 1
-                    sentences.append(seg_match.groups()[0])
-        return sentences, lang
 
-    parse_file = _parse_sgm if f1.endswith(".sgm") else _parse_text
+        def gen():
+            with open(path, encoding="utf-8") as f:
+                for line in f:
+                    seg_match = re.match(seg_re, line)
+                    if seg_match:
+                        assert len(seg_match.groups()) == 1
+                        yield seg_match.groups()[0]
+
+        return gen(), lang
+
+    parse_file = _parse_sgm if os.path.basename(f1).endswith(".sgm") else _parse_text
 
     # Some datasets (e.g., CWMT) contain multiple parallel files specified with
     # a wildcard. We sort both sets to align them and parse them one by one.
@@ -893,34 +913,19 @@ def _parse_parallel_sentences(f1, f2):
     )
 
     for f_id, (f1_i, f2_i) in enumerate(zip(sorted(f1_files), sorted(f2_files))):
-        l1_sentences, l1 = parse_file(f1_i)
-        l2_sentences, l2 = parse_file(f2_i)
-
-        assert len(l1_sentences) == len(l2_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
-            len(l1_sentences),
-            len(l2_sentences),
-            f1_i,
-            f2_i,
-        )
+        l1_sentences, l1 = parse_file(f1_i, filename1)
+        l2_sentences, l2 = parse_file(f2_i, filename2)
 
         for line_id, (s1, s2) in enumerate(zip(l1_sentences, l2_sentences)):
-            key = "{}/{}".format(f_id, line_id)
+            key = f"{f_id}/{line_id}"
             yield key, {l1: s1, l2: s2}
 
 
 def _parse_frde_bitext(fr_path, de_path):
-    with open(fr_path, encoding="utf-8") as f:
-        fr_sentences = f.read().split("\n")
-    with open(de_path, encoding="utf-8") as f:
-        de_sentences = f.read().split("\n")
-    assert len(fr_sentences) == len(de_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
-        len(fr_sentences),
-        len(de_sentences),
-        fr_path,
-        de_path,
-    )
-    for line_id, (s1, s2) in enumerate(zip(fr_sentences, de_sentences)):
-        yield line_id, {"fr": s1, "de": s2}
+    with open(fr_path, encoding="utf-8") as fr_f:
+        with open(de_path, encoding="utf-8") as de_f:
+            for line_id, (s1, s2) in enumerate(zip(fr_f, de_f)):
+                yield line_id, {"fr": s1.rstrip(), "de": s2.rstrip()}
 
 
 def _parse_tmx(path):
@@ -997,7 +1002,7 @@ def _parse_czeng(*paths, **kwargs):
                         block_match = re.match(re_block, id_)
                         if block_match and block_match.groups()[0] in bad_blocks:
                             continue
-                    sub_key = "{}/{}".format(filename, line_id)
+                    sub_key = f"{filename}/{line_id}"
                     yield sub_key, {
                         "cs": cs.strip(),
                         "en": en.strip(),