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license: mit
task_categories:
- text-classification
language:
- bn
pretty_name: BanGRev
size_categories:
- 1K<n<10K
---
## Dataset Summary
**BanGRev** is a Bengali-language text classification dataset developed for sentiment analysis of gadget and technology-related reviews. It contains user-generated content annotated with three sentiment classes:
### Labels
The dataset uses the following class labels:
- 0 — Satisfied
- 1 — Dissatisfied
- 2 — Unbiased
<!-- ## Associated Paper
This dataset was introduced in the paper:
**"BanGRev: A Bengali Sentiment Classification Dataset for Technology Product Reviews"**
*Currently under review in a peer-reviewed journal.*
*Author: [Your Name], Affiliation: [Your University / Institution]*
> Once the paper is accepted or published, please update this section with the full citation and DOI.
## Supported Tasks and Leaderboards
**Primary Task:** Sentiment-based text classification in Bengali.
## Languages
- Bengali (`bn`)
## Dataset Structure
### Data Fields
- `text` (string): The review written in Bengali.
- `label` (integer): A numerical class indicating the sentiment.
### Label Mapping
| Label | Sentiment | Description |
|-------|---------------|------------------------------------|
| 0 | Satisfied | Positive experience |
| 1 | Dissatisfied | Negative experience |
| 2 | Unbiased | Neutral, factual, or descriptive |
## Dataset Size
The dataset consists of **1,000–10,000** samples.
## Licensing Information
This dataset is released under the **MIT License**. You are free to use, modify, and distribute it with attribution.
## Citation
Please cite the following when using this dataset:
-->
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