DreamMachine-AI/Dream-Machine-Dataset

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✨ Dream-Machine · E-Commerce Synthetic Dataset ✨

1,000 Products · 1,000 Users · 5,000 Behaviors · JD / Taobao Schema · Fully Reproducible

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📌 Repository Notice

This repository is the official DreamMachine-AI organization listing. The full dataset files and documentation are published under the dream-machine-ai account namespace.

Resource	Location
📦 Full Dataset Card + Files	dream-machine-ai/Dream-Machine-08-09-Dataset
🤗 Model	dream-machine-ai/Dream-Machine-08-09
🌟 Interactive Space	spaces/dream-machine-ai
🏢 Organization Hub	DreamMachine-AI
📄 Technical Report	Zenodo 10.5281/zenodo.21906715
💻 Source Code	GitHub / Dream-Machine

---

⚡ Quick Load

from datasets import load_dataset

# Products split
products = load_dataset(
    "dream-machine-ai/Dream-Machine-08-09-Dataset",
    name="products", split="train"
)

# Users split
users = load_dataset(
    "dream-machine-ai/Dream-Machine-08-09-Dataset",
    name="users", split="train"
)

# Behaviors split
behaviors = load_dataset(
    "dream-machine-ai/Dream-Machine-08-09-Dataset",
    name="behaviors", split="train"
)

from huggingface_hub import snapshot_download

dataset_path = snapshot_download(
    repo_id="dream-machine-ai/Dream-Machine-08-09-Dataset",
    repo_type="dataset",
)
print("Dataset at:", dataset_path)

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📊 Dataset Statistics

Split	Records	Format	Description
products	1,000	JSONL	SKU catalogue — price, brand, category, attributes
users	1,000	JSONL	User profiles — demographics, interests, spending
behaviors	5,000	JSONL	Click / purchase / rating events

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⚖️ License

This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

✅ Permitted	❌ Prohibited
Academic research & publication	Commercial products or services
Personal learning & experimentation	Revenue-generating deployments
Non-commercial derivative works	Sublicensing for profit
Citing in papers with attribution	Any business use without written permission

Commercial use of any kind — including using this dataset to train models deployed in a product or service — requires explicit prior written consent from the author (Fangjun Wen).
Contact: fangjunwen168@outlook.com

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Paper: DreamMachine: A Billion-Item Neural Recommendation Sorcerer
Author: Fangjun Wen · DreamMachine Research Team · August 2026

// built with focus · DreamMachine Research