| Open Data Attribution Training Disclosure License (ODATL‑1.0) |
| Version 1.0 — July 2026 |
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| A permissive open‑data license requiring attribution and mandatory disclosure of AI training use. |
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| SECTION 1 — DEFINITIONS |
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| 1.1 “Dataset” refers to the collection of data, files, metadata, annotations, structures, or any other materials distributed under this License, including any updates, subsets, or modified versions. |
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| 1.2 “Licensor” refers to the entity or individual who releases the Dataset under this License. |
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| 1.3 “Licensee” refers to any person, organization, or system that accesses, uses, modifies, redistributes, or incorporates the Dataset. |
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| 1.4 “Model” refers to any machine learning system, artificial intelligence system, algorithm, statistical model, or computational process trained, fine‑tuned, evaluated, or otherwise developed using the Dataset. |
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| 1.5 “Public Notice” refers to a clear, visible, and publicly accessible statement acknowledging use of the Dataset. |
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| 1.6 “Derivative Dataset” refers to any dataset created by modifying, transforming, filtering, augmenting, or otherwise altering the original Dataset. |
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| 1.7 “Derivative Model” refers to any Model whose training data includes the Dataset or any Derivative Dataset. |
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| SECTION 2 — GRANT OF RIGHTS |
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| 2.1 The Licensor grants the Licensee a worldwide, royalty‑free, non‑exclusive, irrevocable permission to: |
| - Use, copy, and redistribute the Dataset for any purpose. |
| - Modify, transform, or build upon the Dataset. |
| - Create Derivative Datasets. |
| - Train, fine‑tune, evaluate, or otherwise use the Dataset for machine learning or AI development. |
| - Create Derivative Models based on the Dataset. |
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| 2.2 These rights are intended to be compatible with open‑source and open‑data principles, including but not limited to CC‑BY, ODC‑BY, and other permissive data licenses. |
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| 2.3 No patent rights are granted or implied by this License. |
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| SECTION 3 — MANDATORY ATTRIBUTION |
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| 3.1 Any public use, redistribution, publication, or derivative work involving the Dataset must include the following attribution: |
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| “This work uses data provided under the Open Data Attribution Training Disclosure License (ODATL‑1.0).” |
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| 3.2 Attribution must appear in: |
| - Documentation |
| - Research papers |
| - Model cards |
| - Public datasets |
| - Product descriptions |
| - Any public‑facing material referencing the Dataset |
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| 3.3 Attribution must remain intact and may not be removed, obscured, or altered. |
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| SECTION 4 — MANDATORY TRAINING DISCLOSURE |
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| 4.1 If the Dataset is used to train, fine‑tune, evaluate, or otherwise develop any Model, the Licensee must provide a Public Notice stating: |
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| “This model was trained using data provided under the Open Data Attribution Training Disclosure License (ODATL‑1.0).” |
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| 4.2 This disclosure must appear in: |
| - Model cards |
| - Public releases of the Model |
| - Research publications |
| - Technical documentation |
| - Product descriptions |
| - Any public announcement or description of the Model |
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| 4.3 Disclosure must be truthful, visible, and accessible to the general public. |
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| 4.4 Failure to provide this disclosure immediately terminates all rights granted under this License. |
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| SECTION 5 — REDISTRIBUTION REQUIREMENTS |
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| 5.1 If the Licensee redistributes the Dataset or any Derivative Dataset, the Licensee must: |
| - Include this License in full. |
| - Clearly indicate any modifications made. |
| - Preserve all attribution and disclosure requirements. |
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| 5.2 Derivative Datasets may be dual‑licensed under other open‑data licenses, provided this License remains included and enforceable. |
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| SECTION 6 — OPEN‑SOURCE COMPATIBILITY |
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| 6.1 This License is designed to be compatible with: |
| - Open Data Commons Attribution (ODC‑BY) |
| - Creative Commons Attribution (CC‑BY) |
| - Open‑source AI research workflows |
| - Open‑data distribution platforms |
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| 6.2 Redistribution through open‑source repositories (e.g., GitHub, HuggingFace, Kaggle) is permitted and encouraged. |
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| 6.3 Licensees may combine the Dataset with other open datasets, provided attribution and training disclosure obligations remain intact. |
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| SECTION 7 — PROHIBITED USES |
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| 7.1 The Licensee may not: |
| - Claim exclusive ownership of the Dataset. |
| - Remove or alter attribution or disclosure requirements. |
| - Use the Dataset in violation of applicable laws or regulations. |
| - Misrepresent the origin, nature, or licensing of the Dataset. |
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| 7.2 The Licensee may not apply technical or legal measures that restrict others from exercising rights granted under this License. |
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| SECTION 8 — NO WARRANTY |
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| 8.1 The Dataset is provided “as‑is,” without warranty of any kind, express or implied. |
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| 8.2 The Licensor is not liable for any damages, losses, or claims arising from use of the Dataset or any Derivative Model. |
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| SECTION 9 — TERMINATION |
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| 9.1 Rights under this License automatically terminate if the Licensee: |
| - Fails to provide required attribution. |
| - Fails to provide required training disclosure. |
| - Violates any other term of this License. |
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| 9.2 Rights may be reinstated upon correction of the violation, unless the Licensor explicitly revokes permission. |
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| SECTION 10 — ACCEPTANCE |
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| 10.1 By accessing or using the Dataset, the Licensee agrees to be bound by the terms of this License. |
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| 10.2 Continued use of the Dataset constitutes ongoing acceptance of all terms. |
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| SECTION 11 — CONTACT |
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| 11.1 For permissions beyond this License, contact the Licensor. |
