# NATIX Data RAIL-NC License This License is adapted from the BigScience Open RAIL-M License, dated August 18, 2022, used and modified here under the terms of its CC-BY-4.0 license. ## Section I: PREAMBLE This License was created by NATIX, adapting the structure and use-restriction approach of the BigScience Open RAIL-M License, in order to propose a responsible license for real-world driving datasets made available for research and development purposes. Driving datasets collected from real-world footage can capture identifiable individuals, locations, and behavior, alongside the people and vehicles of NATIX's contributors. NATIX believes such datasets can meaningfully advance research while still being released and used responsibly. This License aims to strike a balance between open access for research and the protection of individuals who may appear in the Dataset, whether or not they participated in its collection. In short, this License strives for responsible downstream use of the accompanying Dataset, balanced against the need to protect the individuals captured in it and NATIX's own interests in the Dataset. This License includes use-based restrictions not permitting the use of the Dataset in specific scenarios, so that the Licensor can act in case of potential misuse. To protect the individuals captured in the Dataset and NATIX's own interests in the Dataset, this License does not permit redistribution of the Dataset or Derivatives of the Dataset to third parties, and is granted for a limited term as set forth below. This License governs the use of the Dataset (and its derivatives) and is informed by the dataset card associated with the Dataset. NOW THEREFORE, You and Licensor agree as follows: ### 1. Definitions **(a) "License"** means the terms and conditions for use, reproduction, and Distribution as defined in this document. **(b) "Dataset"** means the collection of data made available by Licensor under this License, including but not limited to video footage, images, GPS and telemetry metadata, annotations, and any accompanying structured or unstructured files, as further described in the accompanying dataset card. **(c) "Derivatives of the Dataset"** means all modifications to the Dataset, works based on the Dataset, subsets or filtered versions of the Dataset, or any other dataset created using data, annotations, or other content extracted or derived from the Dataset, including compilations that incorporate the Dataset, in whole or in part, with other material. **(d) "Complementary Material"** means the accompanying source code, scripts, documentation, dataset cards, tutorials, and examples used to load, parse, process, visualize, benchmark, or evaluate the Dataset, if any. **(e) "Distribution"** means any transmission, reproduction, publication or other sharing of the Dataset or Derivatives of the Dataset to a third party, including providing the Dataset as a hosted service made available by electronic or other remote means - e.g. API-based or web access. **(f) "Licensor"** means the copyright owner or entity authorized by the copyright owner that is granting the License, including the persons or entities that may have rights in the Dataset and/or distributing the Dataset. **(g) "You" (or "Your")** means an individual or Legal Entity exercising permissions granted by this License and/or making use of the Dataset for whichever purpose and in any field of use, including usage of the Dataset to train, fine-tune, benchmark, or evaluate a machine-learning model, or for any other non-commercial research purpose consistent with this License. **(h) "Third Parties"** means individuals or Legal Entities that are not under common control with Licensor or You. **(i) "Contribution"** means any work of authorship, including the original version of the Dataset and any modifications or additions to that Dataset or Derivatives of the Dataset thereof, that is intentionally submitted to Licensor for inclusion in the Dataset by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Dataset, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." **(j) "Contributor"** means Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Dataset. **(k) "Commercial Purpose"** means primarily intended for or directed toward commercial advantage or monetary compensation. Academic research, benchmarking, and internal research and development, including internal research and development at for-profit organizations, are not considered a Commercial Purpose, provided that neither the Dataset, Derivatives of the Dataset, nor any Trained Model or product substantially derived therefrom, is sold, licensed, rented, offered as part of a paid product or service, demonstrated or piloted to a current or prospective customer or investor in connection with a commercial offering, or otherwise used to solicit funding, sales, or investment, whether at the time of such use or at any later time. **(l) "Legal Entity"** means any entity other than a natural person, together with all entities that control, are controlled by, or are under common control with that entity, where "control" means the power, directly or indirectly, to direct the management of such entity, whether by contract or otherwise, or ownership of more than fifty percent (50%) of the outstanding shares or voting interests of such entity. **(m) "Trained Model"** means any machine-learning model, weights, or parameters produced by training, fine-tuning, or otherwise using the Dataset or Derivatives of the Dataset as an input. **(n) "Results"** means published research findings, benchmark scores, academic papers, reports, aggregate statistics, or other analysis produced using the Dataset, Derivatives of the Dataset, or a Trained Model, that do not themselves include a reproduction of the Dataset or Derivatives of the Dataset. **(o) "Internal Use"** means use of the Dataset by You and Your employees or contractors who are bound by confidentiality and use obligations at least as protective as those in this License, solely for Your own permitted purposes under this License. Internal Use does not include making the Dataset or Derivatives of the Dataset available to any other Legal Entity, including any parent, subsidiary, or affiliate that is a separate Legal Entity from You, unless such other Legal Entity is itself bound directly by this License. ## Section II: INTELLECTUAL PROPERTY RIGHTS Copyright grants apply to the Dataset, Derivatives of the Dataset and Complementary Material. The Dataset and Derivatives of the Dataset are subject to additional terms as described in Section III. ### 2. Grant of Copyright License Subject to the terms and conditions of this License, including the Term set forth in Section 3, each Contributor hereby grants to You a worldwide, non-exclusive, no-charge, royalty-free copyright license, for the duration of the Term, to reproduce, and to prepare Derivatives of, the Dataset and Complementary Material, solely for Your own use in accordance with this License. This license does not include, and no provision of this License shall be construed to grant, any right to sublicense or transfer any rights in the Dataset, Complementary Material, or Derivatives of the Dataset, or to engage in Distribution of the Dataset, Complementary Material, or Derivatives of the Dataset (in whole or in part), except as expressly permitted in writing by Licensor. ## Section III: CONDITIONS OF USE AND TERM ### 3. Term and Termination This License is effective upon Your first access to, download of, or other use of the Dataset, and shall remain in effect for twelve (12) months from the date of Your initial delivery or download of the Dataset (the "Term"), unless earlier terminated as provided in this License. Licensor may terminate this License immediately upon written notice if You breach any provision of this License. Upon expiration of the Term or termination of this License for any reason, all rights granted to You under this License shall immediately terminate, and You must permanently delete all copies of the Dataset, Derivatives of the Dataset, and any Trained Model in Your possession or control, except to the extent retention is required by applicable law. This deletion obligation does not require You to retract, delete, or modify any Results already published or disclosed prior to such expiration or termination, provided such Results do not themselves reproduce the Dataset or Derivatives of the Dataset. ### 4. No Redistribution Except as expressly permitted in writing by Licensor, You may not engage in Distribution of the Dataset or any Derivatives of the Dataset (in whole or in part), sublicense or transfer any rights in the Dataset or Derivatives of the Dataset to any Third Party, or create Derivatives of the Dataset for the purpose of Distribution. This restriction does not prevent Internal Use of the Dataset. Where You engage in Internal Use as permitted above, or where Licensor has expressly permitted Distribution in writing: a. You must retain all copyright, trademark, and attribution notices included with the Dataset and Complementary Material, excluding those notices that do not pertain to any part of the Dataset or Derivatives of the Dataset; b. You must cause any modified files to carry prominent notices stating that You changed the files. ### 5. Use-based restrictions The restrictions set forth in Attachment A are considered Use-based restrictions. Therefore You cannot use the Dataset and the Derivatives of the Dataset for the specified restricted uses. You may use the Dataset subject to this License, including only for lawful purposes and in accordance with the License. Use may include analyzing, annotating, processing, filtering, or otherwise incorporating the Dataset, and/or training, fine-tuning, benchmarking, and evaluating machine-learning models using the Dataset. You shall require all of Your users who use the Dataset or a Derivative of the Dataset to comply with the terms of this paragraph (paragraph 5). ### 6. Anonymization Efforts and Cooperation on Data Subject Rights Licensor has exercised reasonable efforts to anonymize the Dataset, including blurring faces and license plates and excluding known sensitive or restricted areas identified at the time of release. Licensor does not warrant that this anonymization is complete or that all sensitive content has been identified and removed. If You become aware that any portion of the Dataset appears to be insufficiently anonymized, or if You receive a request from a data subject (as that term is understood under applicable data protection law) seeking to exercise rights (such as access, erasure, or objection) with respect to personal data (as that term is understood under applicable data protection law) that may be included in the Dataset, You agree to notify Licensor promptly and to cooperate in good faith with Licensor in addressing such matters. ## Section IV: OTHER PROVISIONS ### 7. Trademarks and related Nothing in this License permits You to make use of Licensors' trademarks, trade names, logos or to otherwise suggest endorsement or misrepresent the relationship between the parties; and any rights not expressly granted herein are reserved by the Licensors. ### 8. Disclaimer of Warranty Unless required by applicable law or agreed to in writing, Licensor provides the Dataset and the Complementary Material (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using the Dataset, Derivatives of the Dataset, and the Complementary Material and assume any risks associated with Your exercise of permissions under this License. ### 9. Limitation of Liability In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Dataset and the Complementary Material (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. ### 10. Severability If any provision of this License is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein. **END OF TERMS AND CONDITIONS** --- ## Attachment A — Use Restrictions You agree not to use the Dataset or Derivatives of the Dataset: **(a)** In any way that violates any applicable national, federal, state, local or international law or regulation; **(b)** For the purpose of exploiting, harming or attempting to exploit or harm minors in any way; **(c)** To generate or disseminate verifiably false information and/or content with the purpose of harming others; **(d)** To generate or disseminate personal identifiable information that can be used to harm an individual; **(e)** To generate or disseminate information and/or content (e.g. images, code, posts, articles), and place the information and/or content in any context (e.g. bot generating tweets) without expressly and intelligibly disclaiming that the information and/or content is machine generated; **(f)** To defame, disparage or otherwise harass others; **(g)** To impersonate or attempt to impersonate (e.g. deepfakes) others without their consent; **(h)** For fully automated decision making that adversely impacts an individual's legal rights or otherwise creates or modifies a binding, enforceable obligation; **(i)** For any use intended to or which has the effect of discriminating against or harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics; **(j)** To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm; **(k)** For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories; **(l)** To provide medical advice and medical results interpretation; **(m)** For the purpose of, or to directly or indirectly enable, any surveillance program, including surveillance of specific individuals or vehicles; to directly or indirectly enable law enforcement or any public authority to enforce any rules or regulations, including any road traffic laws; or to generate or disseminate information for use in the administration of justice, law enforcement, immigration, or asylum processes, such as predicting that an individual will commit fraud or a crime (e.g. by text profiling, drawing causal relationships between assertions made in documents, or indiscriminate and arbitrarily-targeted use); **(n)** For any Commercial Purpose; **(o)** To de-anonymize, re-identify, or attempt to determine the identity of, any individual appearing in the Dataset, including by cross-referencing license plates, reversing, circumventing, or otherwise defeating any blurring or other anonymization technique applied to the Dataset, or by tracking a specific individual or vehicle across multiple frames, clips, or trips; **(p)** To infer, measure, detect, or otherwise label the race, ethnicity, gender, age, or health of any individual appearing in the Dataset; to perform biometric processing on, or analyze the face, gaze, eye movements, gait, or other body movements of, any individual appearing in the Dataset for the purpose of uniquely identifying that individual; or to develop or apply emotion recognition technology or social scoring technology using the Dataset; **(q)** In any publication, presentation, product, or other public communication that uses, or presents Results derived from, the Dataset, without providing attribution to Licensor as specified in the accompanying dataset documentation.