---
annotations_creators: []
language:
- en
- hi
language_creators: []
license: []
multilinguality:
- multilingual
pretty_name: 'adaption-movie_sentiment_reviews'
size_categories:
- n<1K
source_datasets:
- 'original'
tags:
- adaption
- instruction-tuning
- entertainment
- art
- writing-editing-communication
task_categories: []
task_ids: []
---
This dataset is a remastered version prepared using [Adaption's](https://adaptionlabs.ai/app/auth) Adaptive Data platform.
# adaption-movie_sentiment_reviews
This dataset contains pairs of movie review prompts and their corresponding sentiment classifications, labeled as either 'positive' or 'negative'. The reviews cover various aspects of filmmaking such as direction, pacing, and character development, and include text in both English and Hindi. It is designed for training and evaluating sentiment analysis models on multilingual film criticism.
### Dataset size
There are 386 data points in this dataset. This is an instruction tuning dataset.
### Quality of Remastered Dataset
The final quality is B, with a relative quality improvement of 170.0%.
### Domain
- Entertainment (44%)
- Art (26%)
- Writing-editing-communication (16%)
### Language
- English (78%)
- Hindi (22%)
### Tone
- Critical (24%)
- Empathetic (10%)
- Humorous (8%)
### Evaluation Results
- **Quality Gains:**
- **Grade Improvement:**
- **Percentile Chart:**
