Convert dataset to Parquet

#2
by albertvillanova HF staff - opened
README.md CHANGED
@@ -28,16 +28,25 @@ dataset_info:
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  dtype: float32
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  splits:
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  - name: train
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- num_bytes: 4899539
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  num_examples: 9577
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  - name: test
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- num_bytes: 514527
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  num_examples: 1006
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  - name: validation
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- num_bytes: 515785
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  num_examples: 1002
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- download_size: 2314847
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- dataset_size: 5929851
 
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for [Dataset Name]
 
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  dtype: float32
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  splits:
30
  - name: train
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+ num_bytes: 4899535
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  num_examples: 9577
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  - name: test
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+ num_bytes: 514523
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  num_examples: 1006
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  - name: validation
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+ num_bytes: 515781
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  num_examples: 1002
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+ download_size: 3923657
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+ dataset_size: 5929839
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ - split: test
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+ path: data/test-*
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+ - split: validation
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+ path: data/validation-*
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  ---
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  # Dataset Card for [Dataset Name]
allegro_reviews.py DELETED
@@ -1,109 +0,0 @@
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- # coding=utf-8
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- # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
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- #
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- # Licensed under the Apache License, Version 2.0 (the "License");
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- # you may not use this file except in compliance with the License.
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- # You may obtain a copy of the License at
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- #
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- # http://www.apache.org/licenses/LICENSE-2.0
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- #
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- # Unless required by applicable law or agreed to in writing, software
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- # distributed under the License is distributed on an "AS IS" BASIS,
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- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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- # See the License for the specific language governing permissions and
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- # limitations under the License.
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- """Allegro Reviews dataset"""
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-
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-
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- import csv
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- import os
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-
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- import datasets
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-
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-
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- _CITATION = """\
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- @inproceedings{rybak-etal-2020-klej,
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- title = "{KLEJ}: Comprehensive Benchmark for Polish Language Understanding",
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- author = "Rybak, Piotr and Mroczkowski, Robert and Tracz, Janusz and Gawlik, Ireneusz",
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- booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
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- month = jul,
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- year = "2020",
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- address = "Online",
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- publisher = "Association for Computational Linguistics",
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- url = "https://www.aclweb.org/anthology/2020.acl-main.111",
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- pages = "1191--1201",
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- }
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- """
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-
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- _DESCRIPTION = """\
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- Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted
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- from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale
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- from one (negative review) to five (positive review).
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-
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- We recommend using the provided train/dev/test split. The ratings for the test set reviews are kept hidden.
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- You can evaluate your model using the online evaluation tool available on klejbenchmark.com.
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- """
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-
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- _HOMEPAGE = "https://github.com/allegro/klejbenchmark-allegroreviews"
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-
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- _LICENSE = "CC BY-SA 4.0"
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-
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- _URLs = "https://klejbenchmark.com/static/data/klej_ar.zip"
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-
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-
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- class AllegroReviews(datasets.GeneratorBasedBuilder):
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- """
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- Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish
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- and extracted from Allegro.pl - a popular e-commerce marketplace.
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- """
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-
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- VERSION = datasets.Version("1.1.0")
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- description=_DESCRIPTION,
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- features=datasets.Features(
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- {
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- "text": datasets.Value("string"),
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- "rating": datasets.Value("float"),
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- }
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- ),
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- supervised_keys=None,
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- homepage=_HOMEPAGE,
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- license=_LICENSE,
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- citation=_CITATION,
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- )
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-
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- def _split_generators(self, dl_manager):
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- """Returns SplitGenerators."""
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- data_dir = dl_manager.download_and_extract(_URLs)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- gen_kwargs={
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- "filepath": os.path.join(data_dir, "train.tsv"),
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- "split": "train",
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- },
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.TEST,
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- gen_kwargs={"filepath": os.path.join(data_dir, "test_features.tsv"), "split": "test"},
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.VALIDATION,
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- gen_kwargs={
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- "filepath": os.path.join(data_dir, "dev.tsv"),
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- "split": "dev",
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- },
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- ),
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- ]
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-
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- def _generate_examples(self, filepath, split):
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- """Yields examples."""
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- with open(filepath, encoding="utf-8") as f:
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- reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
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- for id_, row in enumerate(reader):
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- yield id_, {
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- "text": row["text"],
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- "rating": "-1" if split == "test" else row["rating"],
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- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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data/train-00000-of-00001.parquet ADDED
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data/validation-00000-of-00001.parquet ADDED
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+ size 348771
dataset_infos.json DELETED
@@ -1 +0,0 @@
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- {"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}}