Datasetpublic

orbitk/BOOK-RECOMMENDER-DATASET

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)… See the full description on the dataset page: https://huggingface.co/datasets/orbitk/BOOK-RECOMMENDER-DATASET.

sourceHugging Facemitupdated 8d agoView on Hugging Face

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Dataset Card

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

python

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