README.md

metadata

pretty_name: Book Recommender Dataset (Emotions & Categories)
task_categories:
  - tabular-classification
  - retrieval
  - recommendation
tags:
  - books
  - embeddings
  - emotions
  - categories
license: mit
size_categories:
  - 10K<n<100K
viewer: true

Book Recommender Dataset

CSV exports from my Book Recommender pipeline. Includes cleaned metadata, category labels, emotion tags, and a tagged description file.

Files

• books_cleaned.csv: Core cleaned book metadata.
• books_with_categories.csv: Adds multi-label categories column.
• books_with_emotions.csv: Adds emotion_* columns (one-hot or scores).
• tagged_description.txt: Preprocessed descriptions (one per line, or TSV).

Column Schema (example)

• book_id (str)
• title (str)
• author (str)
• description (str)
• categories (list[str] or pipe-separated str)
• emotion_joy (float), emotion_sadness (float), ...

How to load

from datasets import load_dataset
ds = load_dataset("svastikkka/BOOK-RECOMMENDER-DATASET", data_files="data/books_with_emotions.csv")
ds["train"][0]