Download our curated datasets to get started with sentiment analysis. Each dataset is carefully crafted to represent different domains and sentiment classification approaches.
Default dataset containing restaurant reviews with binary sentiment classification (positive/negative).
| Review | Liked |
|---|---|
| "Great food and service!" | 1 |
| "Poor quality food." | 0 |
Hotel-specific reviews with three-way sentiment classification (positive/negative/neutral).
| Review | Liked |
|---|---|
| "Beautiful room with amazing view!" | 1 |
| "Room was okay, nothing special." | 2 |
| "Poor service and dirty rooms." | 0 |
Movie-specific reviews with three-way sentiment classification for comprehensive analysis.
| Review | Liked |
|---|---|
| "Amazing acting and direction!" | 1 |
| "Decent movie, nothing special." | 2 |
| "Terrible plot and acting." | 0 |
Technology product reviews with three-way sentiment classification for detailed analysis.
| Review | Liked |
|---|---|
| "Great performance and features!" | 1 |
| "Average product, works fine." | 2 |
| "Poor quality and unreliable." | 0 |