Datasets:
Commit
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Parent(s):
Update files from the datasets library (from 1.2.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.2.0
- .gitattributes +27 -0
- README.md +150 -0
- capes.py +102 -0
- dataset_infos.json +1 -0
- dummy/en-pt/1.0.0/dummy_data.zip +3 -0
.gitattributes
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README.md
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---
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annotations_creators:
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- found
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language_creators:
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- found
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languages:
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- en
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- pt
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licenses:
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- unknown
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multilinguality:
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- multilingual
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size_categories:
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- n>1M
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source_datasets:
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- original
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task_categories:
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- conditional-text-generation
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task_ids:
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- machine-translation
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---
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# Dataset Card for [Dataset Name]
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:**[Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES](https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6)
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the
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CAPES website (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) - Brazil.
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The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were
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collected and aligned using the Hunalign algorithm.
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### Supported Tasks and Leaderboards
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The underlying task is machine translation.
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### Languages
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[More Information Needed]
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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```
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@inproceedings{soares2018parallel,
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title={A Parallel Corpus of Theses and Dissertations Abstracts},
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author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},
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booktitle={International Conference on Computational Processing of the Portuguese Language},
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pages={345--352},
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year={2018},
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organization={Springer}
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}
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```
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capes.py
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# coding=utf-8
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# Copyright 2020 The HuggingFace Datasets Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES"""
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from __future__ import absolute_import, division, print_function
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import os
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import datasets
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_CITATION = """\
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@inproceedings{soares2018parallel,
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title={A Parallel Corpus of Theses and Dissertations Abstracts},
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author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},
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booktitle={International Conference on Computational Processing of the Portuguese Language},
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pages={345--352},
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year={2018},
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organization={Springer}
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}
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"""
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_DESCRIPTION = """\
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A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the \
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CAPES website (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) - Brazil. \
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The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were \
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collected and aligned using the Hunalign algorithm.
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"""
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_HOMEPAGE = "https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6"
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_URL = "https://ndownloader.figstatic.com/files/14015837"
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class Capes(datasets.GeneratorBasedBuilder):
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"""Capes: Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES"""
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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datasets.BuilderConfig(
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name="en-pt",
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version=datasets.Version("1.0.0"),
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description="Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES",
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)
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]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))}
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),
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supervised_keys=None,
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homepage=_HOMEPAGE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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"""Returns SplitGenerators."""
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data_dir = dl_manager.download_and_extract(_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"source_file": os.path.join(data_dir, "en_pt.en"),
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"target_file": os.path.join(data_dir, "en_pt.pt"),
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},
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),
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]
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def _generate_examples(self, source_file, target_file):
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with open(source_file, encoding="utf-8") as f:
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source_sentences = f.read().split("\n")
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with open(target_file, encoding="utf-8") as f:
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target_sentences = f.read().split("\n")
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assert len(target_sentences) == len(source_sentences), "Sizes do not match: %d vs %d for %s vs %s." % (
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len(source_sentences),
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len(target_sentences),
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source_file,
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target_file,
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)
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source, target = tuple(self.config.name.split("-"))
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for idx, (l1, l2) in enumerate(zip(source_sentences, target_sentences)):
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result = {"translation": {source: l1, target: l2}}
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yield idx, result
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dataset_infos.json
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{"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}}
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dummy/en-pt/1.0.0/dummy_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d8a4bc399d058434e2ebeb63ba0ed453ed8de42e95a0e1bc83d40e653351ab6
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size 1811
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