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
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README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+languages:
+  en-to-ku
+  - en
+  - ku
+  en-to-tr
+  - en
+  - tr
+  ku-to-tr
+  - ku
+  - tr
+licenses:
+- unknown
+multilinguality:
+- translation
+size_categories:
+- 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:** [Bianet](http://opus.nlpl.eu/Bianet.php)
+- **Repository:**
+- **Paper:** [Ataman, D. (2018) Bianet: A Parallel News Corpus in Turkish, Kurdish and English. In Proceedings of the LREC 2018 Workshop MLP-Moment. pp. 14-17. pdf](http://lrec-conf.org/workshops/lrec2018/W19/pdf/6_W19.pdf)
+- **Leaderboard:**
+- **Point of Contact:**
+
+### Dataset Summary
+
+A parallel news corpus in Turkish, Kurdish and English;
+Bianet collects 3,214 Turkish articles with their sentence-aligned Kurdish or English translations from the Bianet online newspaper.
+
+3 languages, 3 bitexts
+total number of files: 6
+total number of tokens: 2.25M
+total number of sentence fragments: 0.14M
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### 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
+
+CC-BY-SA-4.0
+
+### Citation Information
+
+@InProceedings{ATAMAN18.6,
+  author = {Duygu Ataman},
+  title = {Bianet: A Parallel News Corpus in Turkish, Kurdish and English},
+  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
+  year = {2018},
+  month = {may},
+  date = {7-12},
+  location = {Miyazaki, Japan},
+  editor = {Jinhua Du and Mihael Arcan and Qun Liu and Hitoshi Isahara},
+  publisher = {European Language Resources Association (ELRA)},
+  address = {Paris, France},
+  isbn = {979-10-95546-15-3},
+  language = {english}
+  }

bianet.py

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+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# 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.
+"""Bianet: A parallel news corpus in Turkish, Kurdish and English"""
+
+from __future__ import absolute_import, division, print_function
+
+import os
+
+import datasets
+
+
+_CITATION = """\
+@InProceedings{ATAMAN18.6,
+  author = {Duygu Ataman},
+  title = {Bianet: A Parallel News Corpus in Turkish, Kurdish and English},
+  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
+  year = {2018},
+  month = {may},
+  date = {7-12},
+  location = {Miyazaki, Japan},
+  editor = {Jinhua Du and Mihael Arcan and Qun Liu and Hitoshi Isahara},
+  publisher = {European Language Resources Association (ELRA)},
+  address = {Paris, France},
+  isbn = {979-10-95546-15-3},
+  language = {english}
+  }"""
+
+_HOMEPAGE = "http://opus.nlpl.eu/Bianet.php"
+
+
+_LICENSE = "CC-BY-SA-4.0"
+
+_VALID_LANGUAGE_PAIRS = {
+    ("en", "ku"): "http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/en-ku.txt.zip",
+    ("en", "tr"): "http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/en-tr.txt.zip",
+    ("ku", "tr"): "http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/ku-tr.txt.zip",
+}
+
+_VERSION = "1.0.0"
+
+_DESCRIPTION = """\
+A parallel news corpus in Turkish, Kurdish and English.
+Bianet collects 3,214 Turkish articles with their sentence-aligned Kurdish or English translations from the Bianet online newspaper.
+3 languages, 3 bitexts
+total number of files: 6
+total number of tokens: 2.25M
+total number of sentence fragments: 0.14M
+"""
+
+_BASE_NAME = "Bianet.{}-{}.{}"
+
+
+class BianetConfig(datasets.BuilderConfig):
+    """BuilderConfig for Bianet: A parallel news corpus in Turkish, Kurdish and English"""
+
+    def __init__(self, language_pair=(None, None), **kwargs):
+        """BuilderConfig for Bianet: A parallel news corpus in Turkish, Kurdish and English.
+        The first language in `language_pair` should consist of two strings joined by
+        an underscore (e.g. "en-tr").
+        Args:
+          language_pair: pair of languages that will be used for translation.
+          **kwargs: keyword arguments forwarded to super.
+        """
+        name = "%s_to_%s" % (language_pair[0], language_pair[1])
+
+        description = ("Translation dataset from %s to %s or %s to %s.") % (
+            language_pair[0],
+            language_pair[1],
+            language_pair[1],
+            language_pair[0],
+        )
+        super(BianetConfig, self).__init__(
+            name=name, description=description, version=datasets.Version(_VERSION, ""), **kwargs
+        )
+
+        # Validate language pair.
+        assert language_pair in _VALID_LANGUAGE_PAIRS, (
+            "Config language pair (%s, " "%s) not supported"
+        ) % language_pair
+
+        self.language_pair = language_pair
+
+
+class Bianet(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        BianetConfig(
+            language_pair=pair,
+        )
+        for pair in _VALID_LANGUAGE_PAIRS.keys()
+    ]
+
+    BUILDER_CONFIG_CLASS = BianetConfig
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "translation": datasets.Translation(languages=tuple(self.config.language_pair)),
+                },
+            ),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        download_url = _VALID_LANGUAGE_PAIRS.get(tuple(self.config.language_pair))
+        path = dl_manager.download_and_extract(download_url)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"datapath": path},
+            )
+        ]
+
+    def _generate_examples(self, datapath):
+        lang1, lang2 = self.config.language_pair
+        lang1_file = _BASE_NAME.format(lang1, lang2, lang1)
+        lang2_file = _BASE_NAME.format(lang1, lang2, lang2)
+        lang1_path = os.path.join(datapath, lang1_file)
+        lang2_path = os.path.join(datapath, lang2_file)
+
+        with open(lang1_path, encoding="utf-8") as f1, open(lang2_path, encoding="utf-8") as f2:
+            for sentence_counter, (x, y) in enumerate(zip(f1, f2)):
+                x = x.strip()
+                y = y.strip()
+                result = (
+                    sentence_counter,
+                    {
+                        "id": str(sentence_counter),
+                        "translation": {lang1: x, lang2: y},
+                    },
+                )
+                yield result

dataset_infos.json

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+{"en_to_ku": {"description": "A parallel news corpus in Turkish, Kurdish and English.\nBianet collects 3,214 Turkish articles with their sentence-aligned Kurdish or English translations from the Bianet online newspaper.\n3 languages, 3 bitexts\ntotal number of files: 6\ntotal number of tokens: 2.25M\ntotal number of sentence fragments: 0.14M\n", "citation": "Ataman, D. (2018) Bianet: A Parallel News Corpus in Turkish, Kurdish and English. In Proceedings of the LREC 2018 Workshop MLP-Moment. pp. 14-17. pdf", "homepage": "http://opus.nlpl.eu/Bianet.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["en", "ku"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "bianet", "config_name": "en_to_ku", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 1800806, "num_examples": 6402, "dataset_name": "bianet"}}, "download_checksums": {"http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/en-ku.txt.zip": {"num_bytes": 622420, "checksum": "04238f916be585e426318eb486ecaa00c9800bdd219bd47216bbe1cb732bcde5"}}, "download_size": 622420, "post_processing_size": null, "dataset_size": 1800806, "size_in_bytes": 2423226}, "en_to_tr": {"description": "A parallel news corpus in Turkish, Kurdish and English.\nBianet collects 3,214 Turkish articles with their sentence-aligned Kurdish or English translations from the Bianet online newspaper.\n3 languages, 3 bitexts\ntotal number of files: 6\ntotal number of tokens: 2.25M\ntotal number of sentence fragments: 0.14M\n", "citation": "Ataman, D. (2018) Bianet: A Parallel News Corpus in Turkish, Kurdish and English. In Proceedings of the LREC 2018 Workshop MLP-Moment. pp. 14-17. pdf", "homepage": "http://opus.nlpl.eu/Bianet.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["en", "tr"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "bianet", "config_name": "en_to_tr", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 10231043, "num_examples": 34770, "dataset_name": "bianet"}}, "download_checksums": {"http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/en-tr.txt.zip": {"num_bytes": 3544116, "checksum": "08f0857457438be03e4e6f6359cac99522fe43d99daa92d49cec0d90fa0c68d4"}}, "download_size": 3544116, "post_processing_size": null, "dataset_size": 10231043, "size_in_bytes": 13775159}, "ku_to_tr": {"description": "A parallel news corpus in Turkish, Kurdish and English.\nBianet collects 3,214 Turkish articles with their sentence-aligned Kurdish or English translations from the Bianet online newspaper.\n3 languages, 3 bitexts\ntotal number of files: 6\ntotal number of tokens: 2.25M\ntotal number of sentence fragments: 0.14M\n", "citation": "Ataman, D. (2018) Bianet: A Parallel News Corpus in Turkish, Kurdish and English. In Proceedings of the LREC 2018 Workshop MLP-Moment. pp. 14-17. pdf", "homepage": "http://opus.nlpl.eu/Bianet.php", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "translation": {"languages": ["ku", "tr"], "id": null, "_type": "Translation"}}, "post_processed": null, "supervised_keys": null, "builder_name": "bianet", "config_name": "ku_to_tr", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2086550, "num_examples": 7325, "dataset_name": "bianet"}}, "download_checksums": {"http://opus.nlpl.eu/download.php?f=Bianet/v1/moses/ku-tr.txt.zip": {"num_bytes": 725227, "checksum": "daf8ecaf9af71b1466d95703ffd335a8cc28578afb82e2d305eaaa56b1e2a12a"}}, "download_size": 725227, "post_processing_size": null, "dataset_size": 2086550, "size_in_bytes": 2811777}}

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