README.md

---
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:
 -->