---
license: mit
task_categories:
  - text-classification
  - text-retrieval
language:
  - en
tags:
  - recommendation-system
  - collaborative-filtering
  - amazon-reviews
  - musical-instruments
size_categories:
  - 100K<n<1M
configs:
  - config_name: interactions
    data_files:
      - split: train
        path: interactions/train-*
  - config_name: items
    data_files:
      - split: train
        path: items/train-*
  - config_name: cold_start
    data_files:
      - split: train
        path: cold_start/train-*
---

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

Sampled subset of [Amazon Reviews 2023](https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023) Musical Instruments category, created for a Data Mining course recommendation system project.

## Sampling Strategy

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

## Configs

This dataset has **three configs**. Load each one separately:

```python
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

| Field | Value |
|---|---|
| Users (main)        | 53,127 |
| Items (main)        | 23,158 |
| Interactions (main) | 473,647 |
| Sparsity            | 0.999615 |
| Mean rating         | 4.445 |
| Items w/ image      | 100.0% |
| Items w/ description| 69.3% |
| Items w/ price      | 69.2% |
| Cold-start users    | 6,904 |

## 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`