Daksh0505/IMDB-Reviews

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: