
# 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.
task_categories:text-classification task_ids:sentiment-classification annotations_creators:found language_creators:found multilinguality:monolingual size_categories:100K<n<1M source_datasets:original language:tr license:unknown region:us
{"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"], "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}}
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Turkish #license-unknown #region-us 


# Dataset Card for Turkish Product Reviews

## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions

## Dataset Description

- Repository: turkish-text-data
- Point of Contact: Fatih Barmanbay

### 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



### 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



### Source Data



#### Initial Data Collection and Normalization



#### Who are the source language producers?



### Annotations

The dataset does not contain any additional annotations.

#### Annotation process



#### Who are the annotators?



### Personal and Sensitive Information



## Considerations for Using the Data

### Social Impact of Dataset



### Discussion of Biases



### Other Known Limitations



## Additional Information

### Dataset Curators

The dataset was created by Fatih Barmanbay.  

### Licensing Information

The data is under the CC-BY-SA-4.0 License



No citation available for this dataset.

### Contributions

Thanks to @basakbuluz for adding this dataset.
# Dataset Card for Turkish Product Reviews ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Repository: turkish-text-data
- Point of Contact: Fatih Barmanbay ### 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 ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations

The dataset does not contain any additional annotations. #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators

The dataset was created by Fatih Barmanbay. ### Licensing Information

The data is under the CC-BY-SA-4.0 License



No citation available for this dataset. ### Contributions

Thanks to @basakbuluz for adding this dataset.
TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Turkish #license-unknown #region-us 
 # Dataset Card for Turkish Product Reviews ## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions ## Dataset Description

- Repository: turkish-text-data
- Point of Contact: Fatih Barmanbay ### 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 ### 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 ### Source Data #### Initial Data Collection and Normalization #### Who are the source language producers? ### Annotations

The dataset does not contain any additional annotations. #### Annotation process #### Who are the annotators? ### Personal and Sensitive Information ## Considerations for Using the Data ### Social Impact of Dataset ### Discussion of Biases ### Other Known Limitations ## Additional Information ### Dataset Curators

The dataset was created by Fatih Barmanbay. ### Licensing Information

The data is under the CC-BY-SA-4.0 License



No citation available for this dataset. ### Contributions

Thanks to @basakbuluz for adding this dataset.
passage: TAGS
#task_categories-text-classification #task_ids-sentiment-classification #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-100K<n<1M #source_datasets-original #language-Turkish #license-unknown #region-us 
# Dataset Card for Turkish Product Reviews## Table of Contents
- Dataset Description
  - Dataset Summary
  - Supported Tasks and Leaderboards
  - Languages
- Dataset Structure
  - Data Instances
  - Data Fields
  - Data Splits
- Dataset Creation
  - Curation Rationale
  - Source Data
  - Annotations
  - Personal and Sensitive Information
- Considerations for Using the Data
  - Social Impact of Dataset
  - Discussion of Biases
  - Other Known Limitations
- Additional Information
  - Dataset Curators
  - Licensing Information
  - Citation Information
  - Contributions## Dataset Description

- Repository: turkish-text-data
- Point of Contact: Fatih Barmanbay### 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### 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### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations

The dataset does not contain any additional annotations.#### Annotation process#### Who are the annotators?### Personal and Sensitive Information## Considerations for Using the Data### Social Impact of Dataset### Discussion of Biases