Convert dataset to Parquet

README.md

@@ -28,16 +28,25 @@ dataset_info:
     dtype: float32
   splits:
   - name: train
-    num_bytes: 4899539
+    num_bytes: 4899535
     num_examples: 9577
   - name: test
-    num_bytes: 514527
+    num_bytes: 514523
     num_examples: 1006
   - name: validation
-    num_bytes: 515785
+    num_bytes: 515781
     num_examples: 1002
-  download_size: 2314847
-  dataset_size: 5929851
+  download_size: 3923657
+  dataset_size: 5929839
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: test
+    path: data/test-*
+  - split: validation
+    path: data/validation-*
 ---
 
 # Dataset Card for [Dataset Name]

allegro_reviews.py

@@ -1,109 +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.
-"""Allegro Reviews dataset"""
-
-
-import csv
-import os
-
-import datasets
-
-
-_CITATION = """\
-@inproceedings{rybak-etal-2020-klej,
-    title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
-    author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
-    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
-    month = jul,
-    year = "2020",
-    address = "Online",
-    publisher = "Association for Computational Linguistics",
-    url = "https://www.aclweb.org/anthology/2020.acl-main.111",
-    pages = "1191--1201",
-}
-"""
-
-_DESCRIPTION = """\
-Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted
-from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale
-from one (negative review) to five (positive review).
-
-We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden.
-You can evaluate your model using the online evaluation tool available on klejbenchmark.com.
-"""
-
-_HOMEPAGE = "https://github.com/allegro/klejbenchmark-allegroreviews"
-
-_LICENSE = "CC BY-SA 4.0"
-
-_URLs = "https://klejbenchmark.com/static/data/klej_ar.zip"
-
-
-class AllegroReviews(datasets.GeneratorBasedBuilder):
-    """
-    Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish
-    and extracted from Allegro.pl - a popular e-commerce marketplace.
-    """
-
-    VERSION = datasets.Version("1.1.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "rating": datasets.Value("float"),
-                }
-            ),
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URLs)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "train.tsv"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepath": os.path.join(data_dir, "test_features.tsv"), "split": "test"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": os.path.join(data_dir, "dev.tsv"),
-                    "split": "dev",
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath, split):
-        """Yields examples."""
-        with open(filepath, encoding="utf-8") as f:
-            reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-            for id_, row in enumerate(reader):
-                yield id_, {
-                    "text": row["text"],
-                    "rating": "-1" if split == "test" else row["rating"],
-                }

data/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:5586790a8ab19ab5a01f54572553303216b6d58b3627bbb8dbcd1731ce9a982b
+size 349137

data/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+oid sha256:647cde0312a6f659fdc3d4942f595b3c058e560fc298bd3fc91736e48a1bb8c7
+size 3225749

data/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:013fb16adbebebc0546a0459868303a216542aaea1c07696e5a66fedd272f03e
+size 348771

dataset_infos.json

@@ -1 +0,0 @@
-{"default": {"description": "Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted \nfrom Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale \nfrom one (negative review) to five (positive review).\n\nWe recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden. \nYou can evaluate your model using the online evaluation tool available on klejbenchmark.com.\n", "citation": "@inproceedings{rybak-etal-2020-klej,\n    title = \"{KLEJ}: Comprehensive Benchmark for Polish Language Understanding\",\n    author = \"Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz\",\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.acl-main.111\",\n    pages = \"1191--1201\",\n}\n", "homepage": "https://github.com/allegro/klejbenchmark-allegroreviews", "license": "CC BY-SA 4.0", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "rating": {"dtype": "float32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "allegro_reviews", "config_name": "default", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 4899539, "num_examples": 9577, "dataset_name": "allegro_reviews"}, "test": {"name": "test", "num_bytes": 514527, "num_examples": 1006, "dataset_name": "allegro_reviews"}, "validation": {"name": "validation", "num_bytes": 515785, "num_examples": 1002, "dataset_name": "allegro_reviews"}}, "download_checksums": {"https://klejbenchmark.com/static/data/klej_ar.zip": {"num_bytes": 2314847, "checksum": "7c74bdb440e15c36b0a66f32500decd86f29380fc42b28752f1335de143a99fc"}}, "download_size": 2314847, "post_processing_size": null, "dataset_size": 5929851, "size_in_bytes": 8244698}}