Convert dataset to Parquet

README.md

@@ -20,6 +20,7 @@ task_ids:
 pretty_name: YelpReviewFull
 license_details: yelp-licence
 dataset_info:
+  config_name: yelp_review_full
   features:
   - name: label
     dtype:
@@ -32,7 +33,6 @@ dataset_info:
           '4': 5 stars
   - name: text
     dtype: string
-  config_name: yelp_review_full
   splits:
   - name: train
     num_bytes: 483811554
@@ -40,8 +40,16 @@ dataset_info:
   - name: test
     num_bytes: 37271188
     num_examples: 50000
-  download_size: 196146755
+  download_size: 322952369
   dataset_size: 521082742
+configs:
+- config_name: yelp_review_full
+  data_files:
+  - split: train
+    path: yelp_review_full/train-*
+  - split: test
+    path: yelp_review_full/test-*
+  default: true
 train-eval-index:
 - config: yelp_review_full
   task: text-classification

dataset_infos.json

@@ -1 +0,0 @@
-{"yelp_review_full": {"description": "The Yelp reviews dataset consists of reviews from Yelp. It is extracted from the Yelp Dataset Challenge 2015 data.\nThe Yelp reviews full star dataset is constructed by Xiang Zhang ([email protected]) from the above dataset.\nIt is first used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, Yann LeCun.\nCharacter-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015).\n", "citation": "@inproceedings{zhang2015character,\n  title={Character-level convolutional networks for text classification},\n  author={Zhang, Xiang and Zhao, Junbo and LeCun, Yann},\n  booktitle={Advances in neural information processing systems},\n  pages={649--657},\n  year={2015}\n}\n", "homepage": "https://www.yelp.com/dataset", "license": "https://s3-media3.fl.yelpcdn.com/assets/srv0/engineering_pages/bea5c1e92bf3/assets/vendor/yelp-dataset-agreement.pdf", "features": {"label": {"num_classes": 5, "names": ["1 star", "2 star", "3 stars", "4 stars", "5 stars"], "id": null, "_type": "ClassLabel"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "text", "label_column": "label"}], "builder_name": "yelp_review_full", "config_name": "yelp_review_full", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 483811554, "num_examples": 650000, "dataset_name": "yelp_review_full"}, "test": {"name": "test", "num_bytes": 37271188, "num_examples": 50000, "dataset_name": "yelp_review_full"}}, "download_checksums": {"https://s3.amazonaws.com/fast-ai-nlp/yelp_review_full_csv.tgz": {"num_bytes": 196146755, "checksum": "56006b0a17a370f1e366504b1f2c3e3754e4a3dda17d3e718a885c552869a559"}}, "download_size": 196146755, "post_processing_size": null, "dataset_size": 521082742, "size_in_bytes": 717229497}}

yelp_review_full.py

@@ -1,124 +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 Yelp Review Full dataset for text classification."""
-
-
-import csv
-
-import datasets
-from datasets.tasks import TextClassification
-
-
-_CITATION = """\
-@inproceedings{zhang2015character,
-  title={Character-level convolutional networks for text classification},
-  author={Zhang, Xiang and Zhao, Junbo and LeCun, Yann},
-  booktitle={Advances in neural information processing systems},
-  pages={649--657},
-  year={2015}
-}
-"""
-
-_DESCRIPTION = """\
-The Yelp reviews dataset consists of reviews from Yelp. It is extracted from the Yelp Dataset Challenge 2015 data.
-The Yelp reviews full star dataset is constructed by Xiang Zhang ([email protected]) from the above dataset.
-It is first used as a text classification benchmark in the following paper: Xiang Zhang, Junbo Zhao, Yann LeCun.
-Character-level Convolutional Networks for Text Classification. Advances in Neural Information Processing Systems 28 (NIPS 2015).
-"""
-
-_HOMEPAGE = "https://www.yelp.com/dataset"
-
-_LICENSE = "https://s3-media3.fl.yelpcdn.com/assets/srv0/engineering_pages/bea5c1e92bf3/assets/vendor/yelp-dataset-agreement.pdf"
-
-_URLs = {
-    "yelp_review_full": "https://s3.amazonaws.com/fast-ai-nlp/yelp_review_full_csv.tgz",
-}
-
-
-class YelpReviewFullConfig(datasets.BuilderConfig):
-    """BuilderConfig for YelpReviewFull."""
-
-    def __init__(self, **kwargs):
-        """BuilderConfig for YelpReviewFull.
-
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(YelpReviewFullConfig, self).__init__(**kwargs)
-
-
-class YelpReviewFull(datasets.GeneratorBasedBuilder):
-    """Yelp Review Full Star Dataset 2015."""
-
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        YelpReviewFullConfig(
-            name="yelp_review_full", version=VERSION, description="Yelp Review Full Star Dataset 2015"
-        ),
-    ]
-
-    def _info(self):
-        features = datasets.Features(
-            {
-                "label": datasets.features.ClassLabel(
-                    names=[
-                        "1 star",
-                        "2 star",
-                        "3 stars",
-                        "4 stars",
-                        "5 stars",
-                    ]
-                ),
-                "text": datasets.Value("string"),
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-            task_templates=[TextClassification(text_column="text", label_column="label")],
-        )
-
-    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": "yelp_review_full_csv/train.csv", "files": dl_manager.iter_archive(archive)},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": "yelp_review_full_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:
-                csvfile = (line.decode("utf-8") for line in f)
-                data = csv.reader(csvfile, delimiter=",", quoting=csv.QUOTE_NONNUMERIC)
-                for id_, row in enumerate(data):
-                    yield id_, {
-                        "text": row[1],
-                        "label": int(row[0]) - 1,
-                    }
-                break

yelp_review_full/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:bf06d5969bff93ecd4a6d4b330643761ce108b42e9b8a894cf82c9df02a08540
+size 23515519

yelp_review_full/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da3ca3dcc52b1e2e44195b53668610d645a59010a985dd45aa12e1109cd44601
+size 299436850