Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
100K - 1M
License:
annotations_creators: | |
- found | |
language_creators: | |
- found | |
languages: | |
- tr | |
licenses: | |
- unknown | |
multilinguality: | |
- monolingual | |
size_categories: | |
- 100K<n<1M | |
source_datasets: | |
- original | |
task_categories: | |
- text_classification | |
task_ids: | |
- sentiment-classification | |
# Dataset Card for Turkish Product Reviews | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-instances) | |
- [Data Splits](#data-instances) | |
- [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) | |
- [Discussion of Social Impact and Biases](#discussion-of-social-impact-and-biases) | |
- [Other Known Limitations](#other-known-limitations) | |
- [Additional Information](#additional-information) | |
- [Dataset Curators](#dataset-curators) | |
- [Licensing Information](#licensing-information) | |
- [Citation Information](#citation-information) | |
## 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. | |
### 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 | |
### Discussion of Social Impact and 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 | |
[More Information Needed] | |