Convert dataset to Parquet

README.md

@@ -36,6 +36,25 @@ task_categories:
 task_ids: []
 paperswithcode_id: wikilingua
 pretty_name: WikiLingua
+config_names:
+- arabic
+- chinese
+- czech
+- dutch
+- english
+- french
+- german
+- hindi
+- indonesian
+- italian
+- japanese
+- korean
+- portuguese
+- russian
+- spanish
+- thai
+- turkish
+- vietnamese
 dataset_info:
 - config_name: arabic
   features:
@@ -55,10 +74,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 119116119
+    num_bytes: 119116075
     num_examples: 9995
-  download_size: 119358890
-  dataset_size: 119116119
+  download_size: 55808460
+  dataset_size: 119116075
 - config_name: chinese
   features:
   - name: url
@@ -77,10 +96,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 41170689
+    num_bytes: 41170645
     num_examples: 6541
-  download_size: 41345464
-  dataset_size: 41170689
+  download_size: 25187026
+  dataset_size: 41170645
 - config_name: czech
   features:
   - name: url
@@ -99,10 +118,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 20816390
+    num_bytes: 20816346
     num_examples: 2520
-  download_size: 20894511
-  dataset_size: 20816390
+  download_size: 12480761
+  dataset_size: 20816346
 - config_name: dutch
   features:
   - name: url
@@ -121,10 +140,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 87258040
+    num_bytes: 87257952
     num_examples: 10862
-  download_size: 87533442
-  dataset_size: 87258040
+  download_size: 47651076
+  dataset_size: 87257952
 - config_name: english
   features:
   - name: url
@@ -139,10 +158,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 333700114
+    num_bytes: 333699946
     num_examples: 57945
-  download_size: 338036185
-  dataset_size: 333700114
+  download_size: 187189233
+  dataset_size: 333699946
 - config_name: french
   features:
   - name: url
@@ -161,10 +180,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 197550376
+    num_bytes: 197550244
     num_examples: 21690
-  download_size: 198114157
-  dataset_size: 197550376
+  download_size: 105158840
+  dataset_size: 197550244
 - config_name: german
   features:
   - name: url
@@ -183,10 +202,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 168674340
+    num_bytes: 168674208
     num_examples: 20103
-  download_size: 169195050
-  dataset_size: 168674340
+  download_size: 93078076
+  dataset_size: 168674208
 - config_name: hindi
   features:
   - name: url
@@ -205,10 +224,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 63785051
+    num_bytes: 63785007
     num_examples: 3402
-  download_size: 63874759
-  dataset_size: 63785051
+  download_size: 22774620
+  dataset_size: 63785007
 - config_name: indonesian
   features:
   - name: url
@@ -227,10 +246,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 136408861
+    num_bytes: 136408773
     num_examples: 16308
-  download_size: 136833587
-  dataset_size: 136408861
+  download_size: 67658970
+  dataset_size: 136408773
 - config_name: italian
   features:
   - name: url
@@ -249,10 +268,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 138119527
+    num_bytes: 138119439
     num_examples: 17673
-  download_size: 138578956
-  dataset_size: 138119527
+  download_size: 78108134
+  dataset_size: 138119439
 - config_name: japanese
   features:
   - name: url
@@ -271,10 +290,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 40145031
+    num_bytes: 40144987
     num_examples: 4372
-  download_size: 40259570
-  dataset_size: 40145031
+  download_size: 19794488
+  dataset_size: 40144987
 - config_name: korean
   features:
   - name: url
@@ -293,10 +312,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 38647614
+    num_bytes: 38647570
     num_examples: 4111
-  download_size: 38748961
-  dataset_size: 38647614
+  download_size: 20029486
+  dataset_size: 38647570
 - config_name: portuguese
   features:
   - name: url
@@ -315,10 +334,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 204270845
+    num_bytes: 204270713
     num_examples: 28143
-  download_size: 204997686
-  dataset_size: 204270845
+  download_size: 114735912
+  dataset_size: 204270713
 - config_name: russian
   features:
   - name: url
@@ -337,10 +356,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 241924032
+    num_bytes: 241923944
     num_examples: 18143
-  download_size: 242377242
-  dataset_size: 241924032
+  download_size: 111025228
+  dataset_size: 241923944
 - config_name: spanish
   features:
   - name: url
@@ -359,10 +378,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 314618618
+    num_bytes: 314618442
     num_examples: 38795
-  download_size: 315609530
-  dataset_size: 314618618
+  download_size: 170995186
+  dataset_size: 314618442
 - config_name: thai
   features:
   - name: url
@@ -381,10 +400,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 86982851
+    num_bytes: 86982807
     num_examples: 5093
-  download_size: 87104200
-  dataset_size: 86982851
+  download_size: 31944979
+  dataset_size: 86982807
 - config_name: turkish
   features:
   - name: url
@@ -403,10 +422,10 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 11371821
+    num_bytes: 11371777
     num_examples: 1512
-  download_size: 11405793
-  dataset_size: 11371821
+  download_size: 5964904
+  dataset_size: 11371777
 - config_name: vietnamese
   features:
   - name: url
@@ -425,29 +444,84 @@ dataset_info:
       dtype: string
   splits:
   - name: train
-    num_bytes: 69868788
+    num_bytes: 69868744
     num_examples: 6616
-  download_size: 70024093
-  dataset_size: 69868788
-config_names:
-- arabic
-- chinese
-- czech
-- dutch
-- english
-- french
-- german
-- hindi
-- indonesian
-- italian
-- japanese
-- korean
-- portuguese
-- russian
-- spanish
-- thai
-- turkish
-- vietnamese
+  download_size: 33194150
+  dataset_size: 69868744
+configs:
+- config_name: arabic
+  data_files:
+  - split: train
+    path: arabic/train-*
+- config_name: chinese
+  data_files:
+  - split: train
+    path: chinese/train-*
+- config_name: czech
+  data_files:
+  - split: train
+    path: czech/train-*
+- config_name: dutch
+  data_files:
+  - split: train
+    path: dutch/train-*
+- config_name: english
+  data_files:
+  - split: train
+    path: english/train-*
+  default: true
+- config_name: french
+  data_files:
+  - split: train
+    path: french/train-*
+- config_name: german
+  data_files:
+  - split: train
+    path: german/train-*
+- config_name: hindi
+  data_files:
+  - split: train
+    path: hindi/train-*
+- config_name: indonesian
+  data_files:
+  - split: train
+    path: indonesian/train-*
+- config_name: italian
+  data_files:
+  - split: train
+    path: italian/train-*
+- config_name: japanese
+  data_files:
+  - split: train
+    path: japanese/train-*
+- config_name: korean
+  data_files:
+  - split: train
+    path: korean/train-*
+- config_name: portuguese
+  data_files:
+  - split: train
+    path: portuguese/train-*
+- config_name: russian
+  data_files:
+  - split: train
+    path: russian/train-*
+- config_name: spanish
+  data_files:
+  - split: train
+    path: spanish/train-*
+- config_name: thai
+  data_files:
+  - split: train
+    path: thai/train-*
+- config_name: turkish
+  data_files:
+  - split: train
+    path: turkish/train-*
+- config_name: vietnamese
+  data_files:
+  - split: train
+    path: vietnamese/train-*
 ---
 # Dataset Card for "wiki_lingua"
 

data/arabic.jsonl.gz → arabic/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c3d0c024d5e024392c7d51c70c2c7a2e3241ed52159c4d5591f1736d15b520d
-size 41403753
+oid sha256:f2745b66592238430976fcff744e6889348e0a083fb8135991143a5d809fcfc9
+size 55808460

data/chinese.jsonl.gz → chinese/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:89a721b220f58ef77b7d570cab4b093b84aa24c77524f6d293f3112687c161a9
-size 19099290
+oid sha256:1dc2e185c67537ae823ac8ccb19844ed56292c0d6f4abb8736001ab95332191b
+size 25187026

data/czech.jsonl.gz → czech/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:719327825ffc23bd6d7392e8a06db168e18069e35d0f150ba719eb438e1d6e9b
-size 8293848
+oid sha256:dc35187b90d6db416b0c53ec9e15d8cbbe97331c84d23a91dc10655447b6f931
+size 12480761

data/english.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1cd5a804b1a64763e13c97fa1ad1d22d0263e55bcd71a42d31b340b0c8cb4d29
-size 115537674

data/french.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a687aad0b3fe602ae47bb071767a12c39280a8491781987c6f7333507f4ed14e
-size 65059668

data/german.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:b8a9bdc538934041eac8a31cb331a4b35a2e5151b27f28959507105afbfda2a3
-size 58091919

data/hindi.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d70b966b130158943c201f0c7f572ed084514a76685521484c2960712377bf9c
-size 14567375

data/indonesian.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6584fe08ee0d2b996cee4b2476191b4eb8c2d58f374478364b1e1edccd85806d
-size 41852908

data/italian.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:2ea94c8c2a1be3b4c67c1eabc3fe03d607570bd754d983cfa9434d5f3b53424e
-size 46917823

data/japanese.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:169a5a7fb0c4e166a2e125158bb9c6972c5a76c6d3abfe3f267068c5ef0debcd
-size 14416407

data/korean.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:28441564238c7f0830cee9486c4cbc028f3a646e91436556c28a56e6c34aae88
-size 14417542

data/portuguese.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:52ac0deeae96eef1a3f89805a3a944f61b1f80ad9b6c0f8511e9c3f54ec4e010
-size 71411075

data/russian.jsonl.gz

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5956df21ca5eaeb2f8cdb549ca51873a659aaecada100d94ae2b711a7d867b01
-size 79624829

data/spanish.jsonl.gz

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-version https://git-lfs.github.com/spec/v1
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-size 104218559

data/thai.jsonl.gz

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-version https://git-lfs.github.com/spec/v1
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-size 19741058

data/vietnamese.jsonl.gz

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-version https://git-lfs.github.com/spec/v1
-oid sha256:6735c342ebc3cf347bbd8052c58a26fbf6d2f5154e8ab2acf4726276405f046c
-size 22117520

data/dutch.jsonl.gz → dutch/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:241595c7cc4031f8fed3e76502e0bb1a9a9871d097b85ab8a83075ed4f5b4407
-size 29400461
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+size 47651076

english/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a6ad770ae41bbc5e608115d1edc031054cb9e2db435477ba9b2f0e2e57c5bc52
+size 187189233

french/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6e991eb694d808ec7db0f5d2c3ae43c0606479056c35ae4b4943af3a674f15f6
+size 105158840

german/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:eb1701668ef59472b8880b5985c70eb03b01f256c2d0fba101e175f0bbe1cb2b
+size 93078076

hindi/train-00000-of-00001.parquet

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+size 22774620

indonesian/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:27739987cf8644b77bf782856b82be2c909f3c7b06b75708475d9d87e4e67202
+size 67658970

italian/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bef4d0fdc15f18741603081d7b0cd3274c9f75b974f0e97bbeb96c49c1821f5d
+size 78108134

japanese/train-00000-of-00001.parquet

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+oid sha256:d2832440410262a221d349578d5eb70dcb405b907cb99743578234ee9f8783d4
+size 19794488

korean/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2178d57b4546ac1ddce8777be5326f98a1bbbf45bd97716bb74e1a0a5b794983
+size 20029486

portuguese/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 114735912

russian/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
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+size 111025228

spanish/train-00000-of-00001.parquet

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+size 170995186

thai/train-00000-of-00001.parquet

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+size 31944979

data/turkish.jsonl.gz → turkish/train-00000-of-00001.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3a3d5eb7d9bb943fc5d6c1765d7740d88c2aae78aa5ad32b6b5f49e55020a350
-size 3877836
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+size 5964904

vietnamese/train-00000-of-00001.parquet

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+size 33194150

wiki_lingua.py

@@ -1,168 +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.
-"""WikiLingua."""
-
-
-import json
-
-import datasets
-
-
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@inproceedings{ladhak-etal-2020-wikilingua,
-    title = "{W}iki{L}ingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization",
-    author = "Ladhak, Faisal  and
-      Durmus, Esin  and
-      Cardie, Claire  and
-      McKeown, Kathleen",
-    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2020",
-    month = nov,
-    year = "2020",
-    address = "Online",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2020.findings-emnlp.360",
-    doi = "10.18653/v1/2020.findings-emnlp.360",
-    pages = "4034--4048",
-}
-"""
-
-_DESCRIPTION = """\
-WikiLingua is a large-scale multilingual dataset for the evaluation of
-cross-lingual abstractive summarization systems. The dataset includes ~770k
-article and summary pairs in 18 languages from WikiHow. The gold-standard
-article-summary alignments across languages was done by aligning the images
-that are used to describe each how-to step in an article.
-"""
-
-_HOMEPAGE = "https://github.com/esdurmus/Wikilingua"
-
-_LICENSE = "CC BY-NC-SA 3.0"
-
-# Download link
-_URL = "data/{language}.jsonl.gz"
-_LANGUAGES = [
-    "arabic",
-    "chinese",
-    "czech",
-    "dutch",
-    "english",
-    "french",
-    "german",
-    "hindi",
-    "indonesian",
-    "italian",
-    "japanese",
-    "korean",
-    "portuguese",
-    "russian",
-    "spanish",
-    "thai",
-    "turkish",
-    "vietnamese",
-]
-
-
-class WikiLingua(datasets.GeneratorBasedBuilder):
-    """WikiLingua dataset."""
-
-    VERSION = datasets.Version("1.1.1")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name=lang,
-            version=datasets.Version("1.1.1"),
-            description=f"A subset of article-summary in {lang.capitalize()}",
-        )
-        for lang in _LANGUAGES
-    ]
-
-    DEFAULT_CONFIG_NAME = "english"
-
-    def _info(self):
-        if self.config.name == "english":
-            features = datasets.Features(
-                {
-                    "url": datasets.Value("string"),
-                    "article": datasets.Sequence(
-                        {
-                            "section_name": datasets.Value("string"),
-                            "document": datasets.Value("string"),
-                            "summary": datasets.Value("string"),
-                        }
-                    ),
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "url": datasets.Value("string"),
-                    "article": datasets.Sequence(
-                        {
-                            "section_name": datasets.Value("string"),
-                            "document": datasets.Value("string"),
-                            "summary": datasets.Value("string"),
-                            "english_url": datasets.Value("string"),
-                            "english_section_name": datasets.Value("string"),
-                        }
-                    ),
-                }
-            )
-
-        return datasets.DatasetInfo(
-            # This is the description that will appear on the datasets page.
-            description=_DESCRIPTION,
-            # This defines the different columns of the dataset and their types
-            features=features,  # Here we define them above because they are different between the two configurations
-            # Homepage of the dataset for documentation
-            homepage=_HOMEPAGE,
-            # License for the dataset if available
-            license=_LICENSE,
-            # Citation for the dataset
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        filepath = dl_manager.download_and_extract(_URL.format(language=self.config.name))
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": filepath,
-                },
-            ),
-        ]
-
-    def _process_article(self, article):
-        """Parse the article and convert into list of dict"""
-        processed_article = []
-        for key, value in article.items():
-            row = {"section_name": key, "document": value["document"], "summary": value["summary"]}
-
-            if self.config.name != "english":
-                row["english_url"] = value["english_url"]
-                row["english_section_name"] = value["english_section_name"]
-            processed_article.append(row)
-
-        return processed_article
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, "rb") as f:
-            for id_, line in enumerate(f):
-                row = json.loads(line)
-                yield id_, {"url": row["url"], "article": self._process_article(row["article"])}