Convert dataset to Parquet (#1)

- Convert dataset to Parquet (3ef0b39da3649ece9b105c5d77d80de1d3934d0c)
- Add en_to_tr data files (24a3e76610e2c031cc9acaee85423e42a4f547ca)
- Add ku_to_tr data files (09dc4042a1b6a1f5968ed0cfc87143c54f75f31e)
- Delete loading script (8b476680a986ecc2a2bbfb8ed4347f90c162e9e2)
- Delete legacy dataset_infos.json (b6865e3797324fb032757efeffe8f311c879f9a2)

README.md

@@ -21,6 +21,13 @@ task_categories:
 task_ids: []
 paperswithcode_id: bianet
 pretty_name: Bianet
+config_names:
+- en-to-ku
+- en-to-tr
+- en_to_ku
+- en_to_tr
+- ku-to-tr
+- ku_to_tr
 dataset_info:
 - config_name: en_to_ku
   features:
@@ -34,10 +41,10 @@ dataset_info:
         - ku
   splits:
   - name: train
-    num_bytes: 1800806
+    num_bytes: 1800794
     num_examples: 6402
-  download_size: 622420
-  dataset_size: 1800806
+  download_size: 1019265
+  dataset_size: 1800794
 - config_name: en_to_tr
   features:
   - name: id
@@ -50,10 +57,10 @@ dataset_info:
         - tr
   splits:
   - name: train
-    num_bytes: 10231043
+    num_bytes: 10230995
     num_examples: 34770
-  download_size: 3544116
-  dataset_size: 10231043
+  download_size: 5932117
+  dataset_size: 10230995
 - config_name: ku_to_tr
   features:
   - name: id
@@ -66,17 +73,23 @@ dataset_info:
         - tr
   splits:
   - name: train
-    num_bytes: 2086550
+    num_bytes: 2086538
     num_examples: 7325
-  download_size: 725227
-  dataset_size: 2086550
-config_names:
-- en-to-ku
-- en-to-tr
-- en_to_ku
-- en_to_tr
-- ku-to-tr
-- ku_to_tr
+  download_size: 1206133
+  dataset_size: 2086538
+configs:
+- config_name: en_to_ku
+  data_files:
+  - split: train
+    path: en_to_ku/train-*
+- config_name: en_to_tr
+  data_files:
+  - split: train
+    path: en_to_tr/train-*
+- config_name: ku_to_tr
+  data_files:
+  - split: train
+    path: ku_to_tr/train-*
 ---
 
 # Dataset Card for [Dataset Name]

bianet.py

@@ -1,148 +0,0 @@
-# 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"""
-
-
-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

@@ -1 +0,0 @@
-{"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}}

en_to_ku/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:a1c2d56a547eed9ba036f3480888a0ae0295d4bc5c78f3551da71cc638447b0d
+size 1019265

en_to_tr/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5591d4132302a27de22e3f5d7f2f671465915b1e1f8bea8015731a9ee783e264
+size 5932117

ku_to_tr/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66e2be325d5b68463412265685096ca905f33bbf103f55327427ae9a2c135066
+size 1206133