Convert dataset to Parquet

README.md

@@ -20,6 +20,7 @@ task_ids:
 paperswithcode_id: dbpedia
 pretty_name: DBpedia
 dataset_info:
+  config_name: dbpedia_14
   features:
   - name: label
     dtype:
@@ -43,7 +44,6 @@ dataset_info:
     dtype: string
   - name: content
     dtype: string
-  config_name: dbpedia_14
   splits:
   - name: train
     num_bytes: 178428970
@@ -51,8 +51,16 @@ dataset_info:
   - name: test
     num_bytes: 22310285
     num_examples: 70000
-  download_size: 68341743
+  download_size: 119424374
   dataset_size: 200739255
+configs:
+- config_name: dbpedia_14
+  data_files:
+  - split: train
+    path: dbpedia_14/train-*
+  - split: test
+    path: dbpedia_14/test-*
+  default: true
 ---
 
 # Dataset Card for DBpedia14

dataset_infos.json

@@ -1 +0,0 @@
-{"dbpedia_14": {"description": "The DBpedia ontology classification dataset is constructed by picking 14 non-overlapping classes\nfrom DBpedia 2014. They are listed in classes.txt. From each of thse 14 ontology classes, we\nrandomly choose 40,000 training samples and 5,000 testing samples. Therefore, the total size\nof the training dataset is 560,000 and testing dataset 70,000.\nThere are 3 columns in the dataset (same for train and test splits), corresponding to class index\n(1 to 14), title and content. The title and content are escaped using double quotes (\"), and any\ninternal double quote is escaped by 2 double quotes (\"\"). There are no new lines in title or content.\n", "citation": "@article{lehmann2015dbpedia,\n  title={DBpedia--a large-scale, multilingual knowledge base extracted from Wikipedia},\n  author={Lehmann, Jens and Isele, Robert and Jakob, Max and Jentzsch, Anja and Kontokostas,\n  Dimitris and Mendes, Pablo N and Hellmann, Sebastian and Morsey, Mohamed and Van Kleef,\n  Patrick and Auer, S{\"o}ren and others},\n  journal={Semantic web},\n  volume={6},\n  number={2},\n  pages={167--195},\n  year={2015},\n  publisher={IOS Press}\n}\n", "homepage": "https://wiki.dbpedia.org/develop/datasets", "license": "Creative Commons Attribution-ShareAlike 3.0 and the GNU Free Documentation License", "features": {"label": {"num_classes": 14, "names": ["Company", "EducationalInstitution", "Artist", "Athlete", "OfficeHolder", "MeanOfTransportation", "Building", "NaturalPlace", "Village", "Animal", "Plant", "Album", "Film", "WrittenWork"], "id": null, "_type": "ClassLabel"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "content": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "d_bpedia14", "config_name": "dbpedia_14", "version": {"version_str": "2.0.0", "description": null, "major": 2, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 178428970, "num_examples": 560000, "dataset_name": "d_bpedia14"}, "test": {"name": "test", "num_bytes": 22310285, "num_examples": 70000, "dataset_name": "d_bpedia14"}}, "download_checksums": {"https://s3.amazonaws.com/fast-ai-nlp/dbpedia_csv.tgz": {"num_bytes": 68341743, "checksum": "42db5221ddedddb673a4cabcc5f3a7d869714c878bcfe4ba94b29d14aa38e417"}}, "download_size": 68341743, "post_processing_size": null, "dataset_size": 200739255, "size_in_bytes": 269080998}}

dbpedia_14.py

@@ -1,150 +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.
-"""The DBpedia dataset for text classification."""
-
-
-import csv
-
-import datasets
-
-
-# TODO: Add BibTeX citation
-# Find for instance the citation on arxiv or on the dataset repo/website
-_CITATION = """\
-@article{lehmann2015dbpedia,
-  title={DBpedia--a large-scale, multilingual knowledge base extracted from Wikipedia},
-  author={Lehmann, Jens and Isele, Robert and Jakob, Max and Jentzsch, Anja and Kontokostas,
-  Dimitris and Mendes, Pablo N and Hellmann, Sebastian and Morsey, Mohamed and Van Kleef,
-  Patrick and Auer, S{\"o}ren and others},
-  journal={Semantic web},
-  volume={6},
-  number={2},
-  pages={167--195},
-  year={2015},
-  publisher={IOS Press}
-}
-"""
-
-_DESCRIPTION = """\
-The DBpedia ontology classification dataset is constructed by picking 14 non-overlapping classes
-from DBpedia 2014. They are listed in classes.txt. From each of thse 14 ontology classes, we
-randomly choose 40,000 training samples and 5,000 testing samples. Therefore, the total size
-of the training dataset is 560,000 and testing dataset 70,000.
-There are 3 columns in the dataset (same for train and test splits), corresponding to class index
-(1 to 14), title and content. The title and content are escaped using double quotes ("), and any
-internal double quote is escaped by 2 double quotes (""). There are no new lines in title or content.
-"""
-
-_HOMEPAGE = "https://wiki.dbpedia.org/develop/datasets"
-
-_LICENSE = "Creative Commons Attribution-ShareAlike 3.0 and the GNU Free Documentation License"
-
-_URLs = {
-    "dbpedia_14": "https://s3.amazonaws.com/fast-ai-nlp/dbpedia_csv.tgz",
-}
-
-
-class DBpedia14Config(datasets.BuilderConfig):
-    """BuilderConfig for DBpedia."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for DBpedia.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(DBpedia14Config, self).__init__(**kwargs)
-
-
-class DBpedia14(datasets.GeneratorBasedBuilder):
-    """DBpedia 2014 Ontology Classification Dataset."""
-
-    VERSION = datasets.Version("2.0.0")
-
-    BUILDER_CONFIGS = [
-        DBpedia14Config(
-            name="dbpedia_14", version=VERSION, description="DBpedia 2014 Ontology Classification Dataset."
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "label": datasets.features.ClassLabel(
-                    names=[
-                        "Company",
-                        "EducationalInstitution",
-                        "Artist",
-                        "Athlete",
-                        "OfficeHolder",
-                        "MeanOfTransportation",
-                        "Building",
-                        "NaturalPlace",
-                        "Village",
-                        "Animal",
-                        "Plant",
-                        "Album",
-                        "Film",
-                        "WrittenWork",
-                    ]
-                ),
-                "title": datasets.Value("string"),
-                "content": datasets.Value("string"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        my_urls = _URLs[self.config.name]
-        archive = dl_manager.download(my_urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": "dbpedia_csv/train.csv",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": "dbpedia_csv/test.csv",
-                    "files": dl_manager.iter_archive(archive),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, files):
-        """Yields examples."""
-
-        for path, f in files:
-            if path == filepath:
-                lines = (line.decode("utf-8") for line in f)
-                data = csv.reader(lines, delimiter=",", quoting=csv.QUOTE_NONNUMERIC)
-                for id_, row in enumerate(data):
-                    yield id_, {
-                        "title": row[1],
-                        "content": row[2],
-                        "label": int(row[0]) - 1,
-                    }
-                break

dbpedia_14/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:05fed41640e97f93ffd442757f6a84170348cf0c7500ecbda9e95ddcd928c631
+size 13272475

dbpedia_14/train-00000-of-00001.parquet

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+oid sha256:0640e4664a99cc94c47db1d7b2e01c14455d5bbecb8183ad1f93bde59f3f28ee
+size 106151899