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+ Open Data Attribution Training Disclosure License (ODATL‑1.0)
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+ Version 1.0 — July 2026
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+
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+ A permissive open‑data license requiring attribution and mandatory disclosure of AI training use.
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+
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+ --------------------------------------------------------------------
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+ SECTION 1 — DEFINITIONS
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+ --------------------------------------------------------------------
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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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+
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+ --------------------------------------------------------------------
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+ SECTION 2 — GRANT OF RIGHTS
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+ --------------------------------------------------------------------
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+ 2.1 The Licensor grants the Licensee a worldwide, royalty‑free, non‑exclusive, irrevocable permission to:
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+ - Use, copy, and redistribute the Dataset for any purpose.
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+ - Modify, transform, or build upon the Dataset.
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+ - Create Derivative Datasets.
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+ - Train, fine‑tune, evaluate, or otherwise use the Dataset for machine learning or AI development.
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+ - 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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+
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+ --------------------------------------------------------------------
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+ SECTION 3 — MANDATORY ATTRIBUTION
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+ --------------------------------------------------------------------
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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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+
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+ 3.2 Attribution must appear in:
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+ - Documentation
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+ - Research papers
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+ - Model cards
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+ - Public datasets
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+ - Product descriptions
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+ - Any public‑facing material referencing the Dataset
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+
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+ 3.3 Attribution must remain intact and may not be removed, obscured, or altered.
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+
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+ --------------------------------------------------------------------
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+ SECTION 4 — MANDATORY TRAINING DISCLOSURE
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+ --------------------------------------------------------------------
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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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+
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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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+
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+ 4.2 This disclosure must appear in:
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+ - Model cards
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+ - Public releases of the Model
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+ - Research publications
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+ - Technical documentation
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+ - Product descriptions
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+ - 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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+ --------------------------------------------------------------------
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+ SECTION 5 — REDISTRIBUTION REQUIREMENTS
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+ --------------------------------------------------------------------
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+ 5.1 If the Licensee redistributes the Dataset or any Derivative Dataset, the Licensee must:
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+ - Include this License in full.
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+ - Clearly indicate any modifications made.
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+ - 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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+
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+ --------------------------------------------------------------------
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+ SECTION 6 — OPEN‑SOURCE COMPATIBILITY
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+ --------------------------------------------------------------------
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+ 6.1 This License is designed to be compatible with:
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+ - Open Data Commons Attribution (ODC‑BY)
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+ - Creative Commons Attribution (CC‑BY)
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+ - Open‑source AI research workflows
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+ - Open‑data distribution platforms
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+
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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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+
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+ --------------------------------------------------------------------
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+ SECTION 7 — PROHIBITED USES
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+ --------------------------------------------------------------------
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+ 7.1 The Licensee may not:
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+ - Claim exclusive ownership of the Dataset.
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+ - Remove or alter attribution or disclosure requirements.
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+ - Use the Dataset in violation of applicable laws or regulations.
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+ - 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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+ --------------------------------------------------------------------
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+ SECTION 8 — NO WARRANTY
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+ --------------------------------------------------------------------
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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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+ --------------------------------------------------------------------
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+ SECTION 9 — TERMINATION
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+ --------------------------------------------------------------------
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+ 9.1 Rights under this License automatically terminate if the Licensee:
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+ - Fails to provide required attribution.
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+ - Fails to provide required training disclosure.
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+ - 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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+
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+ --------------------------------------------------------------------
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+ SECTION 10 — ACCEPTANCE
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+ --------------------------------------------------------------------
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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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+
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+ --------------------------------------------------------------------
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+ SECTION 11 — CONTACT
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+ --------------------------------------------------------------------
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+ 11.1 For permissions beyond this License, contact the Licensor.