Datasets:
affahrizain
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fresh commit with full data.csv
Browse files- .gitattributes +1 -0
- README.md +36 -0
- data.csv +3 -0
- id-review-gen.py +73 -0
.gitattributes
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.jpeg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.jpg filter=lfs diff=lfs merge=lfs -text
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*.webp filter=lfs diff=lfs merge=lfs -text
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*.csv filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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annotations_creators:
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- machine-generated
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language:
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- id
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language_creators:
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- found
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license:
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- apache-2.0
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multilinguality:
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- monolingual
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pretty_name: id-review-gen
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size_categories:
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- 1K<n<10K
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source_datasets:
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- original
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tags:
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- product review
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- review
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task_categories:
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- text-generation
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task_ids:
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- language-modeling
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dataset_info:
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features:
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- name: text
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dtype: string
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- name: label
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dtype: string
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splits:
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- name: train
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num_bytes: 253740
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num_examples: 3797
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download_size: 232695
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dataset_size: 253740
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---
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data.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:be5fd795dbfd22936d262aa0adef4269a7687bfc867e41adc2bc09682a7df6c3
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size 13384578
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id-review-gen.py
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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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# TODO: Address all TODOs and remove all explanatory comments
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"""id-review-gen: An Indonesian Review Generation Dataset."""
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import csv
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import pandas as pd
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import datasets
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_DESCRIPTION = """\
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This dataset is built as a playground for review text generation.
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"""
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_HOMEPAGE = "https://github.com/jakartaresearch"
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# TODO: Add link to the official dataset URLs here
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# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
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# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
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_TRAIN_URL = (
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"https://huggingface.co/datasets/jakartaresearch/id-review-gen/raw/main/data.csv"
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)
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# TODO: Name of the dataset usually match the script name with CamelCase instead of snake_case
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class ReviewGen(datasets.GeneratorBasedBuilder):
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"""GooglePlayReview: An Indonesian Sentiment Analysis Dataset."""
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VERSION = datasets.Version("1.0.0")
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def _info(self):
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features = datasets.Features(
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{"text": datasets.Value("string"), "label": datasets.Value("string")}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION, features=features, homepage=_HOMEPAGE
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)
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def _split_generators(self, dl_manager):
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train_path = dl_manager.download_and_extract(_TRAIN_URL)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}
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)
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]
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# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
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def _generate_examples(self, filepath):
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"""Generate examples."""
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df = pd.read_csv(filepath, encoding="utf-8")
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for item in df.itertuples():
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print(item)
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yield item.Index, {"text": item.text, "label": item.label}
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# with open(filepath, encoding="utf-8") as csv_file:
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# csv_reader = csv.reader(csv_file, delimiter=",")
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# next(csv_reader)
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# for id_, row in enumerate(csv_reader):
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# text, label = row
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# yield id_, {"text": text, "label": label}
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