Datasets:
Tasks:
Text Classification
Sub-tasks:
sentiment-classification
Languages:
English
Size:
100K<n<1M
DOI:
License:
metadata
annotations_creators:
- crowd-sourced
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: IMDB Multi-Movie Review Dataset
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
Dataset Card for IMDb Multi-Movie Review Dataset
Dataset Summary
The IMDb Multi-Movie Review Dataset contains approximately 114,000 user reviews collected from over 150 movies on IMDb.
Each movie is stored as a separate JSON file, identified by its movie_id (IMDb ID).
Each JSON file includes a list of structured reviews, where every review consists of:
title: A short summary or headline of the review.review: The full detailed user review.rating: A numeric rating (1–10) as a string.
This dataset supports tasks like sentiment analysis, rating prediction, and text summarization in the domain of movie reviews across multiple genres and time periods.
Supported Tasks and Leaderboards
- Sentiment Classification: Predict sentiment from the review text. Can be used with custom or soft labels.
- Rating Classification/Regression: Predict a 1–10 score from the review text.
- Summarization: Generate a short title-style summary (
title) from the full review (review).
Languages
All reviews are written in English.
Dataset Structure
Each JSON file follows this format:
{
"movie_id": "tt0085750",
"reviews": [
{
"title": "Mediocre, but Oscar worthy compared to part IV.",
"review": "Saw this one in all its 3D glory in the theater back in 1983...",
"rating": "5"
}
]
}
🔧 Load Dataset (from Hugging Face Hub)
from datasets import load_dataset
dataset = load_dataset("Daksh0505/IMDB-Reviews")
print(dataset['train'][0])
Citation (Please add if you use this dataset)
@misc{imdb-multimovie-reviews,
title = {IMDb Multi-Movie Review Dataset},
author = {Daksh Bhardwaj},
year = {2025},
url = {https://huggingface.co/datasets/Daksh0505/IMDB-Reviews
note = {Accessed: 2025-07-17}
}
📂 Dataset URL: https://huggingface.co/datasets/Daksh0505/IMDB-Reviews
🚀 Try the Live Demo
Click below to test both models live in your browser that are were trained on this dataset: