Update files from the datasets library (from 1.2.0)

Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
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+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+  en-es:
+  - en
+  - es
+  en-pt:
+  - en
+  - pt
+  en-pt-es:
+  - en
+  - pt
+  - es
+licenses:
+- unknown
+multilinguality:
+- multilingual
+size_categories:
+- 100K<n<1M
+source_datasets:
+- original
+task_categories:
+- conditional-text-generation
+task_ids:
+- machine-translation
+---
+
+# Dataset Card for [Dataset Name]
+
+## Table of Contents
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-instances)
+  - [Data Splits](#data-instances)
+- [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)
+
+## 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}
+}
+```

dataset_infos.json

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+{"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}}

dummy/en-es/1.0.0/dummy_data.zip

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dummy/en-pt-es/1.0.0/dummy_data.zip

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dummy/en-pt/1.0.0/dummy_data.zip

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+size 579

scielo.py

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+# 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"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+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."""
+        data_dir = dl_manager.download_and_extract(_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": os.path.join(data_dir, f"{fname}.en"),
+                        "target_file": os.path.join(data_dir, f"{fname}.pt"),
+                        "target_file_2": os.path.join(data_dir, f"{fname}.es"),
+                    },
+                ),
+            ]
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "source_file": os.path.join(data_dir, f"{fname}.{lang_pair[0]}"),
+                    "target_file": os.path.join(data_dir, f"{fname}.{lang_pair[1]}"),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, source_file, target_file, target_file_2=None):
+        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")
+
+        if self.config.name == "en-pt-es":
+            with open(target_file_2, encoding="utf-8") as f:
+                target_2_sentences = f.read().split("\n")
+
+            source, target, target_2 = tuple(self.config.name.split("-"))
+            for idx, (l1, l2, l3) in enumerate(zip(source_sentences, target_sentences, target_2_sentences)):
+                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