Update files from the datasets library (from 1.16.0)

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

README.md

@@ -19,9 +19,10 @@ task_categories:
 task_ids:
 - machine-translation
 paperswithcode_id: capes
+pretty_name: CAPES
 ---
 
-# Dataset Card for [Dataset Name]
+# Dataset Card for CAPES
 
 ## Table of Contents
 - [Dataset Description](#dataset-description)

capes.py

@@ -15,8 +15,6 @@
 """Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES"""
 
 
-import os
-
 import datasets
 
 
@@ -71,31 +69,30 @@ class Capes(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URL)
+        archive = dl_manager.download(_URL)
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "source_file": os.path.join(data_dir, "en_pt.en"),
-                    "target_file": os.path.join(data_dir, "en_pt.pt"),
+                    "source_file": "en_pt.en",
+                    "target_file": "en_pt.pt",
+                    "src_files": dl_manager.iter_archive(archive),
+                    "tgt_files": dl_manager.iter_archive(archive),
                 },
             ),
         ]
 
-    def _generate_examples(self, source_file, target_file):
-        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")
-
-        assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
-            len(source_sentences),
-            len(target_sentences),
-            source_file,
-            target_file,
-        )
-
+    def _generate_examples(self, source_file, target_file, src_files, tgt_files):
         source, target = tuple(self.config.name.split("-"))
-        for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
-            result = {"translation": {source: l1, target: l2}}
-            yield idx, result
+        for src_path, src_f in src_files:
+            if src_path == source_file:
+                for tgt_path, tgt_f in tgt_files:
+                    if tgt_path == target_file:
+                        for idx, (l1, l2) in enumerate(zip(src_f, tgt_f)):
+                            l1 = l1.decode("utf-8").strip()
+                            l2 = l2.decode("utf-8").strip()
+                            if l1 and l2:
+                                result = {"translation": {source: l1, target: l2}}
+                                yield idx, result
+                        break
+                break

dataset_infos.json

@@ -1 +1 @@
-{"en-pt": {"description": "A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the CAPES website (Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior) - Brazil. The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were collected and aligned using the Hunalign algorithm.\n", "citation": "@inproceedings{soares2018parallel,\n  title={A Parallel Corpus of Theses and Dissertations Abstracts},\n  author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},\n  booktitle={International Conference on Computational Processing of the Portuguese Language},\n  pages={345--352},\n  year={2018},\n  organization={Springer}\n}\n", "homepage": "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6", "license": "", "features": {"translation": {"languages": ["en", "pt"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "capes", "config_name": "en-pt", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 472484376, "num_examples": 1157611, "dataset_name": "capes"}}, "download_checksums": {"https://ndownloader.figstatic.com/files/14015837": {"num_bytes": 162229298, "checksum": "08e5739e78cd5b68ca6b29507f2a746fd3a5fbdec8dde2700a4141030d21e143"}}, "download_size": 162229298, "post_processing_size": null, "dataset_size": 472484376, "size_in_bytes": 634713674}}
+{"en-pt": {"description": "A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the CAPES website (Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior) - Brazil. The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were collected and aligned using the Hunalign algorithm.\n", "citation": "@inproceedings{soares2018parallel,\n  title={A Parallel Corpus of Theses and Dissertations Abstracts},\n  author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},\n  booktitle={International Conference on Computational Processing of the Portuguese Language},\n  pages={345--352},\n  year={2018},\n  organization={Springer}\n}\n", "homepage": "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6", "license": "", "features": {"translation": {"languages": ["en", "pt"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "capes", "config_name": "en-pt", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 472484364, "num_examples": 1157610, "dataset_name": "capes"}}, "download_checksums": {"https://ndownloader.figstatic.com/files/14015837": {"num_bytes": 162229298, "checksum": "08e5739e78cd5b68ca6b29507f2a746fd3a5fbdec8dde2700a4141030d21e143"}}, "download_size": 162229298, "post_processing_size": null, "dataset_size": 472484364, "size_in_bytes": 634713662}}