---
license: mit
language:
- en
tags:
- education
- movie
size_categories:
- 1K<n<10K
---
# 📚 Dataset Card for "My Sentiment Dataset"

## Dataset Summary

This dataset contains English-language movie reviews labeled with sentiment (positive or negative). It can be used for binary sentiment classification tasks. The dataset was collected from publicly available online sources and manually labeled for accuracy.

- 10,000 reviews
- 5,000 positive / 5,000 negative
- Text only (no metadata)

## Supported Tasks and Leaderboards

**Task:** Sentiment Classification  
**Input:** Text (movie review)  
**Output:** Binary label (`positive` or `negative`)  

This dataset is commonly used for:
- Benchmarking binary text classification models
- Fine-tuning pretrained language models for sentiment analysis

## Languages

- English (en)

## Dataset Structure

### Data Fields

- `text` (string): The movie review text.
- `label` (int): Sentiment label — 0 for negative, 1 for positive.

### Example

```json
{
  "text": "I really enjoyed this movie. The acting was great!",
  "label": 1
}