Convert dataset to Parquet (#3)

- Convert dataset to Parquet (3cde639d097ad06a5ab73e715b4a682317388511)
- Delete loading script (d1a454f7336d33b8d6133979138f175a927d4ea6)
- Delete legacy dataset_infos.json (190b813af59de781d1fb39fb989141134bf91a49)

README.md

@@ -23,6 +23,7 @@ tags:
 - dissertation-abstracts-translation
 - theses-translation
 dataset_info:
+  config_name: en-pt
   features:
   - name: translation
     dtype:
@@ -30,13 +31,18 @@ dataset_info:
         languages:
         - en
         - pt
-  config_name: en-pt
   splits:
   - name: train
-    num_bytes: 472484364
+    num_bytes: 472483436
     num_examples: 1157610
-  download_size: 162229298
-  dataset_size: 472484364
+  download_size: 285468020
+  dataset_size: 472483436
+configs:
+- config_name: en-pt
+  data_files:
+  - split: train
+    path: en-pt/train-*
+  default: true
 ---
 
 # Dataset Card for CAPES

capes.py

@@ -1,98 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-"""Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES"""
-
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{soares2018parallel,
-  title={A Parallel Corpus of Theses and Dissertations Abstracts},
-  author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},
-  booktitle={International Conference on Computational Processing of the Portuguese Language},
-  pages={345--352},
-  year={2018},
-  organization={Springer}
-}
-"""
-
-
-_DESCRIPTION = """\
-A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the \
-CAPES website (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) - Brazil. \
-The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were \
-collected and aligned using the Hunalign algorithm.
-"""
-
-
-_HOMEPAGE = "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6"
-
-_URL = "https://ndownloader.figstatic.com/files/14015837"
-
-
-class Capes(datasets.GeneratorBasedBuilder):
-    """Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="en-pt",
-            version=datasets.Version("1.0.0"),
-            description="Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES",
-        )
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=self.config.name.split("-"))}
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        archive = dl_manager.download(_URL)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "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, src_files, tgt_files):
-        source, target = tuple(self.config.name.split("-"))
-        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 +0,0 @@
-{"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}}

en-pt/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c8f2e5cacec1504c02b08b453f7cdddaeb652772c9800359ea2fccec46d52cfc
+size 285468020