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README.md

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----
-annotations_creators:
-- found
-language_creators:
-- found
-language:
-- tr
-license:
-- unknown
-multilinguality:
-- monolingual
-size_categories:
-- 100K<n<1M
-source_datasets:
-- original
-task_categories:
-- text-classification
-task_ids:
-- sentiment-classification
-paperswithcode_id: null
-pretty_name: Turkish Product Reviews
-dataset_info:
-  features:
-  - name: sentence
-    dtype: string
-  - name: sentiment
-    dtype:
-      class_label:
-        names:
-          0: negative
-          1: positive
-  splits:
-  - name: train
-    num_bytes: 43369710
-    num_examples: 235165
-  download_size: 13184332
-  dataset_size: 43369710
----
-
-# Dataset Card for Turkish Product Reviews
-
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-
-- **Repository:** [turkish-text-data](https://github.com/fthbrmnby/turkish-text-data)
-- **Point of Contact:** [Fatih Barmanbay](https://github.com/fthbrmnby)
-
-### Dataset Summary
-
-This Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.
-
-### Supported Tasks and Leaderboards
-
-[More Information Needed]
-
-### Languages
-
-The dataset is based on Turkish.
-
-## Dataset Structure
-
-### Data Instances
-
-**Example 1:**
-
-**sentence:** beklentimin altında bir ürün kaliteli değil
-
-**sentiment:** 0 (negative)
-
-**Example 2:**
-
-**sentence:** fiyat ve performans olarak gayet iyi
-
-**sentiment:** 1 (positive)
-
-
-### Data Fields
-
-- **sentence**(string) : Contatins turkish product review
-- **sentiment**(int) : 0 (negative) or 1 (positive)
-
-### Data Splits
-
-It is not divided into Train set and Test set.
-
-## Dataset Creation
-
-### Curation Rationale
-
-[More Information Needed]
-
-### Source Data
-
-[More Information Needed]
-
-#### Initial Data Collection and Normalization
-
-[More Information Needed]
-
-#### Who are the source language producers?
-
-[More Information Needed]
-
-### Annotations
-
-The dataset does not contain any additional annotations.
-
-#### Annotation process
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-[More Information Needed]
-
-### Personal and Sensitive Information
-
-[More Information Needed]
-
-## Considerations for Using the Data
-
-### Social Impact of Dataset
-
-[More Information Needed]
-
-### Discussion of Biases
-
-[More Information Needed]
-
-### Other Known Limitations
-
-[More Information Needed]
-
-## Additional Information
-
-### Dataset Curators
-
-The dataset was created by [Fatih Barmanbay](https://github.com/fthbrmnby).  
-
-### Licensing Information
-
-The data is under the [CC-BY-SA-4.0 License](https://github.com/fthbrmnby/turkish-text-data/blob/master/LICENCE)
-
-### Citation Information
-
-No citation available for this dataset.
-
-### Contributions
-
-Thanks to [@basakbuluz](https://github.com/basakbuluz) for adding this dataset.

dataset_infos.json

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-{"default": {"description": "\nTurkish Product Reviews.\nThis repository contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.\n", "citation": "", "homepage": "https://github.com/fthbrmnby/turkish-text-data", "license": "", "features": {"sentence": {"dtype": "string", "id": null, "_type": "Value"}, "sentiment": {"num_classes": 2, "names": ["negative", "positive"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": null, "task_templates": [{"task": "text-classification", "text_column": "sentence", "label_column": "sentiment", "labels": ["negative", "positive"]}], "builder_name": "turkish_product_reviews", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 43369710, "num_examples": 235165, "dataset_name": "turkish_product_reviews"}}, "download_checksums": {"https://github.com/fthbrmnby/turkish-text-data/raw/master/reviews.tar.gz": {"num_bytes": 13184332, "checksum": "dd1013e7413cd5d2dd897ea38c067302667a942e44ecb5e3cb36dea55aeeb09f"}}, "download_size": 13184332, "post_processing_size": null, "dataset_size": 43369710, "size_in_bytes": 56554042}}

default/turkish_product_reviews-train.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:55285d992b32217ad306cb82c78d71c6963c343d4d20189a1a2a41cf38bd417c
+size 24354761

turkish_product_reviews.py

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-"""Turkish Product Reviews"""
-
-
-import os
-
-import datasets
-from datasets.tasks import TextClassification
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = ""
-
-_DESCRIPTION = """
-Turkish Product Reviews.
-This repository contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews.
-"""
-
-_URL = "https://github.com/fthbrmnby/turkish-text-data/raw/master/reviews.tar.gz"
-_FILES_PATHS = ["reviews.pos", "reviews.neg"]
-
-_HOMEPAGE = "https://github.com/fthbrmnby/turkish-text-data"
-
-
-class TurkishProductReviews(datasets.GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "sentence": datasets.Value("string"),
-                    "sentiment": datasets.ClassLabel(names=["negative", "positive"]),
-                }
-            ),
-            citation=_CITATION,
-            homepage=_HOMEPAGE,
-            task_templates=[TextClassification(text_column="sentence", label_column="sentiment")],
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        archive = dl_manager.download(_URL)
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"files": dl_manager.iter_archive(archive)}),
-        ]
-
-    def _generate_examples(self, files):
-        """Generate TurkishProductReviews examples."""
-        for file_idx, (path, f) in enumerate(files):
-            _, file_extension = os.path.splitext(path)
-            label = "negative" if file_extension == ".neg" else "positive"
-            for idx, line in enumerate(f):
-                line = line.decode("utf-8").strip()
-                yield f"{file_idx}_{idx}", {
-                    "sentence": line,
-                    "sentiment": label,
-                }