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compaTAI Standard Commercial Data License (v1.0)
1. Grant of License Subject to the payment of the applicable fees and compliance with these terms, compaTAI grants the Licensee a non-exclusive, non-transferable, non-sublicensable, and revocable license to use the "CDMX Edge Case Dataset" solely for the purposes of internal research, training of machine learning models, and optimization of autonomous navigation algorithms.
2. Permitted Uses
Model Training: Use the data to train, fine-tune, and validate artificial intelligence models.
Internal R&D: Use the data for internal research and development of autonomous vehicle technology.
Commercial Integration: For Enterprise/Startup Tier licenses, the resulting trained models may be integrated into commercial products or services.
3. Prohibited Uses
No Redistribution: Licensee shall not redistribute, sell, lease, sublicense, or lend the raw dataset or any portion thereof to any third party.
No Public Hosting: The dataset must not be uploaded to public repositories (e.g., public GitHub, public Hugging Face) or any shared environment accessible to unauthorized users.
No Derivative Datasets: Licensee is prohibited from creating and distributing "derivative datasets" based on compaTAI’s annotations, frames, or metadata to compete with compaTAI’s services.
4. Intellectual Property All rights, titles, and interests in and to the dataset, including but not limited to video frames, labels, metadata, and the "compaTAI Chaos Score" logic, remain the exclusive property of compaTAI. This license does not grant the Licensee any ownership rights.
5. Attribution The Licensee agrees to provide attribution to compaTAI in any technical publication, whitepaper, or public presentation that utilizes results derived from this dataset. Suggested citation: "Data provided by compaTAI - CDMX Edge Case Dataset (2026)."
6. Termination Any breach of these terms, including unauthorized distribution of the data, will result in the immediate termination of the license without refund and may lead to legal action for intellectual property infringement.