Convert dataset to Parquet (#3)

- Convert dataset to Parquet (8f8ffe52c1026a2d4272967c1110ad7bda8a0a5f)
- Delete loading script (d37aaca515b3683fc7d038479d031ae56018ffed)
- Delete data file (61fad2470951177bded34f159e07409a933decc2)

README.md

@@ -29,8 +29,13 @@ dataset_info:
   - name: train
     num_bytes: 3987228544
     num_examples: 24745986
-  download_size: 1620361999
+  download_size: 2835862485
   dataset_size: 3987228544
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
 ---
 
 # Dataset Card for caWaC

cawac.py

@@ -1,91 +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.
-"""caWaC: Catalan web corpus dataset."""
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{DBLP:conf/lrec/LjubesicT14,
-  author    = {Nikola Ljubesic and
-               Antonio Toral},
-  editor    = {Nicoletta Calzolari and
-               Khalid Choukri and
-               Thierry Declerck and
-               Hrafn Loftsson and
-               Bente Maegaard and
-               Joseph Mariani and
-               Asunci{\'{o}}n Moreno and
-               Jan Odijk and
-               Stelios Piperidis},
-  title     = {caWaC - {A} web corpus of Catalan and its application to language
-               modeling and machine translation},
-  booktitle = {Proceedings of the Ninth International Conference on Language Resources
-               and Evaluation, {LREC} 2014, Reykjavik, Iceland, May 26-31, 2014},
-  pages     = {1728--1732},
-  publisher = {European Language Resources Association {(ELRA)}},
-  year      = {2014},
-  url       = {http://www.lrec-conf.org/proceedings/lrec2014/summaries/841.html},
-  timestamp = {Mon, 19 Aug 2019 15:23:35 +0200},
-  biburl    = {https://dblp.org/rec/conf/lrec/LjubesicT14.bib},
-  bibsource = {dblp computer science bibliography, https://dblp.org}
-}
-"""
-
-_DESCRIPTION = """\
-caWaC is a 780-million-token web corpus of Catalan built from the .cat top-level-domain in late 2013.
-"""
-
-_LICENSE = "CC BY-SA 3.0"
-
-_HOMEPAGE = "http://nlp.ffzg.hr/resources/corpora/cawac/"
-# Source: http://nlp.ffzg.hr/data/corpora/cawac.uniq.sortr.gz
-_URLS = "data/cawac.uniq.sortr.gz"
-
-
-class Cawac(datasets.GeneratorBasedBuilder):
-    """caWaC: Catalan web corpus dataset."""
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "sentence": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        downloaded_file = dl_manager.download_and_extract(_URLS)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": downloaded_file,
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        with open(filepath, encoding="utf8") as f:
-            for id_, row in enumerate(f):
-                yield id_, {
-                    "sentence": row,
-                }

data/{cawac.uniq.sortr.gz → train-00000-of-00008.parquet}

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