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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- en
-- es
-- pt
-license:
-- unknown
-multilinguality:
-- multilingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- translation
-task_ids: []
-paperswithcode_id: null
-pretty_name: SciELO
-configs:
-- en-es
-- en-pt
-- en-pt-es
-dataset_info:
-- config_name: en-es
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - es
-  splits:
-  - name: train
-    num_bytes: 71777213
-    num_examples: 177782
-  download_size: 22965217
-  dataset_size: 71777213
-- config_name: en-pt
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - pt
-  splits:
-  - name: train
-    num_bytes: 1032669686
-    num_examples: 2828917
-  download_size: 322726075
-  dataset_size: 1032669686
-- config_name: en-pt-es
-  features:
-  - name: translation
-    dtype:
-      translation:
-        languages:
-        - en
-        - pt
-        - es
-  splits:
-  - name: train
-    num_bytes: 147472132
-    num_examples: 255915
-  download_size: 45556562
-  dataset_size: 147472132
----
-
-# Dataset Card for SciELO
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Homepage:**[SciELO](https://sites.google.com/view/felipe-soares/datasets#h.p_92uSCyAjWSRB)
-- **Repository:**
-- **Paper:** [A Large Parallel Corpus of Full-Text Scientific Articles](https://arxiv.org/abs/1905.01852)
-- **Leaderboard:**
-- **Point of Contact:**
-
-### Dataset Summary
-
-A parallel corpus of full-text scientific articles collected from Scielo database in the following languages:English, Portuguese and Spanish.
-The corpus is sentence aligned for all language pairs, as well as trilingual aligned for a small subset of sentences.
-Alignment was carried out using the Hunalign algorithm.
-
-### Supported Tasks and Leaderboards
-
-The underlying task is machine translation.
-
-### Languages
-
-[More Information Needed]
-
-## Dataset Structure
-
-### Data Instances
-
-[More Information Needed]
-
-### Data Fields
-
-[More Information Needed]
-
-### Data Splits
-
-[More Information Needed]
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-[More Information Needed]
-
-### Licensing Information
-
-[More Information Needed]
-
-### Citation Information
-
-```
-@inproceedings{soares2018large,
-  title={A Large Parallel Corpus of Full-Text Scientific Articles},
-  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},
-  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},
-  year={2018}
-}
-```
-### Contributions
-
-Thanks to [@patil-suraj](https://github.com/patil-suraj) for adding this dataset.

dataset_infos.json

@@ -1 +0,0 @@
-{"en-es": {"description": "A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, as well as trilingual aligned for a small subset of sentences. Alignment was carried out using the Hunalign algorithm.\n", "citation": "@inproceedings{soares2018large,\n  title={A Large Parallel Corpus of Full-Text Scientific Articles},\n  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},\n  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},\n  year={2018}\n}\n", "homepage": "http://www.euromatrixplus.net/multi-un/", "license": "", "features": {"translation": {"languages": ["en", "es"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "scielo", "config_name": "en-es", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 71777213, "num_examples": 177782, "dataset_name": "scielo"}}, "download_checksums": {"https://ndownloader.figstatic.com/files/14019287": {"num_bytes": 22965217, "checksum": "a56de2ee24727b42817a88339913b2741e10c37347b567ae4bf239894c6e1fca"}}, "download_size": 22965217, "post_processing_size": null, "dataset_size": 71777213, "size_in_bytes": 94742430}, "en-pt": {"description": "A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, as well as trilingual aligned for a small subset of sentences. Alignment was carried out using the Hunalign algorithm.\n", "citation": "@inproceedings{soares2018large,\n  title={A Large Parallel Corpus of Full-Text Scientific Articles},\n  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},\n  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},\n  year={2018}\n}\n", "homepage": "http://www.euromatrixplus.net/multi-un/", "license": "", "features": {"translation": {"languages": ["en", "pt"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "scielo", "config_name": "en-pt", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1032669686, "num_examples": 2828917, "dataset_name": "scielo"}}, "download_checksums": {"https://ndownloader.figstatic.com/files/14019308": {"num_bytes": 322726075, "checksum": "d494e3566019f67c56cfa937c6ceb26dcad8f1454e0154c2da192de9bfff6a0c"}}, "download_size": 322726075, "post_processing_size": null, "dataset_size": 1032669686, "size_in_bytes": 1355395761}, "en-pt-es": {"description": "A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, as well as trilingual aligned for a small subset of sentences. Alignment was carried out using the Hunalign algorithm.\n", "citation": "@inproceedings{soares2018large,\n  title={A Large Parallel Corpus of Full-Text Scientific Articles},\n  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},\n  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},\n  year={2018}\n}\n", "homepage": "http://www.euromatrixplus.net/multi-un/", "license": "", "features": {"translation": {"languages": ["en", "pt", "es"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "scielo", "config_name": "en-pt-es", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 147472132, "num_examples": 255915, "dataset_name": "scielo"}}, "download_checksums": {"https://ndownloader.figstatic.com/files/14019293": {"num_bytes": 45556562, "checksum": "ad943502c027e0c8ac804e15529ffab2ceefa919e63127635f67ff31e51da32f"}}, "download_size": 45556562, "post_processing_size": null, "dataset_size": 147472132, "size_in_bytes": 193028694}}

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scielo.py

@@ -1,121 +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.
-"""Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO"""
-
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{soares2018large,
-  title={A Large Parallel Corpus of Full-Text Scientific Articles},
-  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},
-  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},
-  year={2018}
-}
-"""
-
-
-_DESCRIPTION = """\
-A parallel corpus of full-text scientific articles collected from Scielo database in the following languages: \
-English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, \
-as well as trilingual aligned for a small subset of sentences. Alignment was carried out using the Hunalign algorithm.
-"""
-
-
-_HOMEPAGE = "https://sites.google.com/view/felipe-soares/datasets#h.p_92uSCyAjWSRB"
-
-_LANGUAGES = ["en-es", "en-pt", "en-pt-es"]
-
-_URLS = {
-    "en-es": "https://ndownloader.figstatic.com/files/14019287",
-    "en-pt": "https://ndownloader.figstatic.com/files/14019308",
-    "en-pt-es": "https://ndownloader.figstatic.com/files/14019293",
-}
-
-
-class Scielo(datasets.GeneratorBasedBuilder):
-    """Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO"""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="en-es", version=datasets.Version("1.0.0"), description="English-Spanish"),
-        datasets.BuilderConfig(name="en-pt", version=datasets.Version("1.0.0"), description="English-Portuguese"),
-        datasets.BuilderConfig(
-            name="en-pt-es", version=datasets.Version("1.0.0"), description="English-Portuguese-Spanish"
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {"translation": datasets.features.Translation(languages=tuple(self.config.name.split("-")))}
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        archive = dl_manager.download(_URLS[self.config.name])
-        lang_pair = self.config.name.split("-")
-        fname = self.config.name.replace("-", "_")
-
-        if self.config.name == "en-pt-es":
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={
-                        "source_file": f"{fname}.en",
-                        "target_file": f"{fname}.pt",
-                        "target_file_2": f"{fname}.es",
-                        "files": dl_manager.iter_archive(archive),
-                    },
-                ),
-            ]
-
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "source_file": f"{fname}.{lang_pair[0]}",
-                    "target_file": f"{fname}.{lang_pair[1]}",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, source_file, target_file, files, target_file_2=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")
-            elif self.config.name == "en-pt-es" and path == target_file_2:
-                target_sentences_2 = f.read().decode("utf-8").split("\n")
-
-        if self.config.name == "en-pt-es":
-            source, target, target_2 = tuple(self.config.name.split("-"))
-            for idx, (l1, l2, l3) in enumerate(zip(source_sentences, target_sentences, target_sentences_2)):
-                result = {"translation": {source: l1, target: l2, target_2: l3}}
-                yield idx, result
-        else:
-            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