Update files from the datasets library (from 1.16.0)

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

README.md

@@ -1,4 +1,5 @@
 ---
+pretty_name: Flores
 annotations_creators:
 - found
 language_creators:

dataset_infos.json

@@ -1 +1 @@
-{"neen": {"description": "Evaluation datasets for low-resource machine translation: Nepali-English and Sinhala-English.\n", "citation": "@misc{guzmn2019new,\n    title={Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English},\n    author={Francisco Guzman and Peng-Jen Chen and Myle Ott and Juan Pino and Guillaume Lample and Philipp Koehn and Vishrav Chaudhary and Marc'Aurelio Ranzato},\n    year={2019},\n    eprint={1902.01382},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/facebookresearch/flores/", "license": "", "features": {"translation": {"languages": ["ne", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "ne", "output": "en"}, "task_templates": null, "builder_name": "flores", "config_name": "neen", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 849380, "num_examples": 2560, "dataset_name": "flores"}, "test": {"name": "test", "num_bytes": 999063, "num_examples": 2836, "dataset_name": "flores"}}, "download_checksums": {"https://github.com/facebookresearch/flores/raw/master/floresv1/data/wikipedia_en_ne_si_test_sets.tgz": {"num_bytes": 1542781, "checksum": "7a0245bb29fd03b46a1129831c183dfba0efc8452a9739d962759f25141aa648"}}, "download_size": 1542781, "post_processing_size": null, "dataset_size": 1848443, "size_in_bytes": 3391224}, "sien": {"description": "Evaluation datasets for low-resource machine translation: Nepali-English and Sinhala-English.\n", "citation": "@misc{guzmn2019new,\n    title={Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English},\n    author={Francisco Guzman and Peng-Jen Chen and Myle Ott and Juan Pino and Guillaume Lample and Philipp Koehn and Vishrav Chaudhary and Marc'Aurelio Ranzato},\n    year={2019},\n    eprint={1902.01382},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/facebookresearch/flores/", "license": "", "features": {"translation": {"languages": ["si", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "si", "output": "en"}, "task_templates": null, "builder_name": "flores", "config_name": "sien", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1031158, "num_examples": 2899, "dataset_name": "flores"}, "test": {"name": "test", "num_bytes": 983563, "num_examples": 2767, "dataset_name": "flores"}}, "download_checksums": {"https://github.com/facebookresearch/flores/raw/master/floresv1/data/wikipedia_en_ne_si_test_sets.tgz": {"num_bytes": 1542781, "checksum": "7a0245bb29fd03b46a1129831c183dfba0efc8452a9739d962759f25141aa648"}}, "download_size": 1542781, "post_processing_size": null, "dataset_size": 2014721, "size_in_bytes": 3557502}}
+{"neen": {"description": "Evaluation datasets for low-resource machine translation: Nepali-English and Sinhala-English.\n", "citation": "@misc{guzmn2019new,\n    title={Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English},\n    author={Francisco Guzman and Peng-Jen Chen and Myle Ott and Juan Pino and Guillaume Lample and Philipp Koehn and Vishrav Chaudhary and Marc'Aurelio Ranzato},\n    year={2019},\n    eprint={1902.01382},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/facebookresearch/flores/", "license": "", "features": {"translation": {"languages": ["ne", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "ne", "output": "en"}, "task_templates": null, "builder_name": "flores", "config_name": "neen", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 849380, "num_examples": 2560, "dataset_name": "flores"}, "test": {"name": "test", "num_bytes": 999063, "num_examples": 2836, "dataset_name": "flores"}}, "download_checksums": {"https://github.com/facebookresearch/flores/raw/main/floresv1/data/wikipedia_en_ne_si_test_sets.tgz": {"num_bytes": 1542781, "checksum": "7a0245bb29fd03b46a1129831c183dfba0efc8452a9739d962759f25141aa648"}}, "download_size": 1542781, "post_processing_size": null, "dataset_size": 1848443, "size_in_bytes": 3391224}, "sien": {"description": "Evaluation datasets for low-resource machine translation: Nepali-English and Sinhala-English.\n", "citation": "@misc{guzmn2019new,\n    title={Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English},\n    author={Francisco Guzman and Peng-Jen Chen and Myle Ott and Juan Pino and Guillaume Lample and Philipp Koehn and Vishrav Chaudhary and Marc'Aurelio Ranzato},\n    year={2019},\n    eprint={1902.01382},\n    archivePrefix={arXiv},\n    primaryClass={cs.CL}\n}\n", "homepage": "https://github.com/facebookresearch/flores/", "license": "", "features": {"translation": {"languages": ["si", "en"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": {"input": "si", "output": "en"}, "task_templates": null, "builder_name": "flores", "config_name": "sien", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 1031158, "num_examples": 2899, "dataset_name": "flores"}, "test": {"name": "test", "num_bytes": 983563, "num_examples": 2767, "dataset_name": "flores"}}, "download_checksums": {"https://github.com/facebookresearch/flores/raw/main/floresv1/data/wikipedia_en_ne_si_test_sets.tgz": {"num_bytes": 1542781, "checksum": "7a0245bb29fd03b46a1129831c183dfba0efc8452a9739d962759f25141aa648"}}, "download_size": 1542781, "post_processing_size": null, "dataset_size": 2014721, "size_in_bytes": 3557502}}

flores.py

@@ -37,7 +37,7 @@ _CITATION = """\
 }
 """
 
-_DATA_URL = "https://github.com/facebookresearch/flores/raw/master/floresv1/data/wikipedia_en_ne_si_test_sets.tgz"
+_DATA_URL = "https://github.com/facebookresearch/flores/raw/main/floresv1/data/wikipedia_en_ne_si_test_sets.tgz"
 
 # Tuple that describes a single pair of files with matching translations.
 # language_to_file is the map from language (2 letter string: example 'en')
@@ -102,17 +102,18 @@ class Flores(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        dl_dir = dl_manager.download_and_extract(_DATA_URL)
+        archive = dl_manager.download(_DATA_URL)
 
         source, target = self.config.language_pair
         non_en = source if target == "en" else target
-        path_tmpl = "{dl_dir}/wikipedia_en_ne_si_test_sets/wikipedia.{split}.{non_en}-en." "{lang}"
+        path_tmpl = "wikipedia_en_ne_si_test_sets/wikipedia.{split}.{non_en}-en." "{lang}"
 
         files = {}
         for split in ("dev", "devtest"):
             files[split] = {
-                "source_file": path_tmpl.format(dl_dir=dl_dir, split=split, non_en=non_en, lang=source),
-                "target_file": path_tmpl.format(dl_dir=dl_dir, split=split, non_en=non_en, lang=target),
+                "source_file": path_tmpl.format(split=split, non_en=non_en, lang=source),
+                "target_file": path_tmpl.format(split=split, non_en=non_en, lang=target),
+                "files": dl_manager.iter_archive(archive),
             }
 
         return [
@@ -120,12 +121,16 @@ class Flores(datasets.GeneratorBasedBuilder):
             datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=files["devtest"]),
         ]
 
-    def _generate_examples(self, source_file, target_file):
+    def _generate_examples(self, files, source_file, target_file):
         """This function returns the examples in the raw (text) form."""
-        with open(source_file, encoding="utf-8") as f:
-            source_sentences = f.read().split("\n")
-        with open(target_file, encoding="utf-8") as f:
-            target_sentences = f.read().split("\n")
+        source_sentences, target_sentences = None, None
+        for path, f in files:
+            if path == source_file:
+                source_sentences = f.read().decode("utf-8").split("\n")
+            elif path == target_file:
+                target_sentences = f.read().decode("utf-8").split("\n")
+            if source_sentences is not None and target_sentences is not None:
+                break
 
         assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
             len(source_sentences),