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Update files from the datasets library (from 1.2.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.2.0

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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ annotations_creators:
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+ - found
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+ language_creators:
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+ - found
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+ languages:
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+ - tr
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+ licenses:
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+ - unknown
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+ multilinguality:
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+ - monolingual
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - text_classification
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+ task_ids:
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+ - sentiment-classification
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+ - sentiment-scoring
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+ ---
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+
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+ # Dataset Card for TurkishMovieSentiment: This dataset contains turkish movie reviews.
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+
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+ ## Table of Contents
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-instances)
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+ - [Data Splits](#data-instances)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks](https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks)
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+ - **Point of Contact:** [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/)
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+
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+ ### Dataset Summary
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+
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+ This data set is a dataset from kaggle consisting of Turkish movie reviews and scored between 0-5.
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+
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+ ### Languages
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+
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+ The dataset is based on Turkish.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ **Example 1:**
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+
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+ **Comment:** Jean Reno denince zaten leon filmi gelir akla izlemeyen kalmamıştır ama kaldıysada ee ne duruyorsun hemen izle :),
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+
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+ **Film_name:** Sevginin Gücü,
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+
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+ **Point:** 5,0
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+
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+ **Example 2:**
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+
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+ **Comment:** Bence güzel bi film olmush.İzlenmeli.İnsana şükretmek gerektini hatırlatıyor.Ama cok da poh pohlanacak bi sey yapmamıslar,
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+
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+ **Film_name:** Cinderella Man,
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+
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+ **Point:** 2,5
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+
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+ ### Data Fields
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+
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+ - **comment**(string) : Contatins turkish movie review
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+ - **film_name**(string) : Film name in Turkish.
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+ - **point**(float) : [0-5] floating point
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+
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+ ### Data Splits
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+
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+ It is not divided into Train set and Test set.
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ [More Information Needed]
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ The dataset does not contain any additional annotations.
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
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+ [More Information Needed]
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+
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+ ## Considerations for Using the Data
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+
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+ ### Discussion of Social Impact and Biases
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+
128
+ [More Information Needed]
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+
130
+ ### Other Known Limitations
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+
132
+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ The dataset was created by [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/).
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+
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+ ### Licensing Information
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+
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+ The data is under the [CC0: Public Domain](https://creativecommons.org/publicdomain/zero/1.0/)
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+
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+ ### Citation Information
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+
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+ [More Information Needed]
dataset_infos.json ADDED
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+ {"default": {"description": "This data set is a dataset from kaggle consisting of Turkish movie reviews and scored between 0-5.\n", "citation": "", "homepage": "https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset", "license": "CC0: Public Domain", "features": {"point": {"dtype": "float32", "id": null, "_type": "Value"}, "comment": {"dtype": "string", "id": null, "_type": "Value"}, "film_name": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "builder_name": "turkish_movie_sentiment", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 33954560, "num_examples": 83227, "dataset_name": "turkish_movie_sentiment"}}, "download_checksums": {}, "download_size": 0, "post_processing_size": null, "dataset_size": 33954560, "size_in_bytes": 33954560}}
dummy/turkishmoviesentiment/1.0.0/dummy_data.zip ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:cc5ed38f57f22cc6facf0fad1ea0c30846a422cb006d499f4001a7c7051c6301
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+ size 3034
turkish_movie_sentiment.py ADDED
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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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+ # Lint as: python3
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+ """TurkishMovieSentiment: This dataset contains turkish movie reviews."""
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+
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+ from __future__ import absolute_import, division, print_function
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+
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+ import csv
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+ import logging
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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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+ _DESCRIPTION = """\
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+ This data set is a dataset from kaggle consisting of Turkish movie reviews and scored between 0-5.
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+ """
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+
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+ _CITATION = ""
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+ _LICENSE = "CC0: Public Domain"
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+ _HOMEPAGE = "https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset"
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+ _FILENAME = "turkish_movie_sentiment_dataset.csv"
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+
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+
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+ class TurkishMovieSentimentConfig(datasets.BuilderConfig):
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+ """BuilderConfig for TurkishMovieSentiment"""
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+
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+ def __init__(self, **kwargs):
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+ """BuilderConfig for TurkishMovieSentiment.
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+ Args:
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+ **kwargs: keyword arguments forwarded to super.
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+ """
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+ super(TurkishMovieSentimentConfig, self).__init__(**kwargs)
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+
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+
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+ class TurkishMovieSentiment(datasets.GeneratorBasedBuilder):
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+ """TurkishMovieSentiment: This dataset contains turkish movie reviews."""
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+
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+ BUILDER_CONFIGS = [
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+ TurkishMovieSentimentConfig(
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+ name="turkishmoviesentiment",
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+ version=datasets.Version("1.0.0"),
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+ description="This dataset contains turkish movie reviews.",
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+ ),
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+ ]
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+
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+ @property
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+ def manual_download_instructions(self):
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+ return """\
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+ You need to go to https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset,
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+ and manually download the TurkishMovieSentiment. Once it is completed,
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+ a file named archive.zip will be appeared in your Downloads folder
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+ or whichever folder your browser chooses to save files to. You then have
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+ to unzip the file and move turkish_movie_sentiment_dataset.csv under <path/to/folder>.
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+ The <path/to/folder> can e.g. be "~/manual_data".
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+ TurkishMovieSentiment can then be loaded using the following command `datasets.load_dataset("turkishmoviesentiment", data_dir="<path/to/folder>")`.
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+ """
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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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+ "point": datasets.Value("float32"),
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+ "comment": datasets.Value("string"),
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+ "film_name": datasets.Value("string"),
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+ }
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+ ),
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+ supervised_keys=None,
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+ # Homepage of the dataset for documentation
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+ homepage=_HOMEPAGE,
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+ # License for the dataset if available
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+ license=_LICENSE,
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+ # Citation for the dataset
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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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+ path_to_manual_file = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))
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+ if not os.path.exists(path_to_manual_file):
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+ raise FileNotFoundError(
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+ "{} does not exist. Make sure you insert a manual dir via `datasets.load_dataset('turkishmoviesentiment', data_dir=...)` that includes a file name {}. Manual download instructions: {})".format(
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+ path_to_manual_file, _FILENAME, self.manual_download_instructions
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+ )
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+ )
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+ return [
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+ datasets.SplitGenerator(
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+ name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(path_to_manual_file, _FILENAME)}
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+ )
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+ ]
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+
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+ def _generate_examples(self, filepath):
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+ """Generate TurkishMovieSentiment examples."""
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+ logging.info("⏳ Generating examples from = %s", filepath)
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+ with open(filepath, encoding="utf-8") as f:
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+ rdr = csv.reader(f, delimiter=",")
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+ next(rdr)
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+ rownum = 0
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+ for row in rdr:
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+ rownum += 1
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+ yield rownum, {
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+ "comment": row[0],
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+ "film_name": row[1],
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+ "point": row[2].replace(",", "."), # convert string to floating point ([0-5])
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+ }