oyku-tugana/amazon-musical-instruments-2014-2023-5core

Amazon Musical Instruments — 5-Core Sampled Dataset (2018-2023)

Sampled subset of Amazon Reviews 2023 Musical Instruments category, created for a Data Mining course recommendation system project.

Sampling Strategy

1. 1.Time filter: 2014-01-01 to 2023-09-12
2. 2.Iterative 5-core filtering: Both users and items have at least 5 interactions (iteratively until stable)
3. 3.Cold-start test set: 10000 users with 1-2 reviews held out for cold-start evaluation
4. 4.Random seed: 42

Configs

This dataset has three configs. Load each one separately:

from datasets import load_dataset

interactions = load_dataset("oyku-tugana/amazon-musical-instruments-2014-2023-5core", "interactions", split="train")
items        = load_dataset("oyku-tugana/amazon-musical-instruments-2014-2023-5core", "items",        split="train")
cold_start   = load_dataset("oyku-tugana/amazon-musical-instruments-2014-2023-5core", "cold_start",   split="train")

Statistics

Schema

interactions / cold_start

• —user_id, parent_asin, rating, timestamp (ms), date
• —helpful_vote, verified_purchase
• —review_title, review_text

items

• —parent_asin, title, description, features
• —main_category, categories, store
• —price (nullable), average_rating, rating_number
• —image_url (nullable), has_image, has_description, has_price