Movie Text-to-Genre Dataset

• movies_overview.csv:
  • title: The title of the movie.
  • overview: A brief description or synopsis of the movie.
  • genre_ids: One or more numerical identifiers corresponding to the movie's genre(s).
• movies_genres.csv:
  • id: A unique identifier for each genre.
  • name: The corresponding genre name (e.g., Action, Comedy, Drama). This file enables mapping genre_ids from movies_overview.csv to their actual genre names.

Distribution

Usage

• Multi-Label Genre Classification: The primary proposed task is to design and train an NLP model that accurately predicts one or more genres given a movie's overview text.
• Text Classification Research: Experimenting with different text classification methods, from classical techniques like bag-of-words and TF-IDF combined with logistic regression or random forest, to modern deep learning approaches such as LSTM-based networks and transformer models (e.g., BERT, RoBERTa).
• Data Preprocessing Exercises: Practising text cleaning (lowercasing, removing special characters, tokenisation) and label preparation (transforming genre IDs into a multi-label format using the movies_genres.csv mapping).
• Model Evaluation: Utilising multi-label specific evaluation metrics like F1 Score (Macro/Micro), Hamming Loss, and Subset Accuracy.

Coverage

License

Who Can Use It

• NLP Researchers and Practitioners: For developing, training, and evaluating advanced NLP models for text classification.
• Data Scientists: Those interested in applying machine learning to textual data and exploring multi-label prediction problems.
• Students and Learners: Especially those new to multi-label NLP tasks, as starter notebooks and detailed documentation are encouraged to lower the entry barrier.
• Competitors in Data Challenges: Individuals participating in competitions focused on text processing and multi-label classification.

Dataset Name Suggestions

• IMDb Movie Genre Classification Dataset
• Film Overview Genre Predictor
• Multi-Label Movie Synopsis Data
• Movie Text-to-Genre Dataset

Attributes