Update License.

Clarify that competing in a Kaggle competition is allowed under the non-commercial clause.

LICENSE

@@ -1,5 +1,5 @@
-TABPFN-2.5 License v1.0
-Last Revised: November 3, 2025
+TABPFN-2.5 License v1.1
+Last Revised: December 9, 2025
 Prior Labs GmbH
 
 Prior Labs GmbH (“we” or “our” or “Company”) is pleased to make available the weights, parameters and inference code for the TABPFN-2.5 Model (as defined below) freely available for your non-commercial and non-production use as set forth in this TABPFN-2.5 Non-Commercial License (“License”). The “TABPFN-2.5 Model” means the TABPFN-2.5 AI models and models denoted as TABPFN-2.5 and their elements which includes algorithms, software, checkpoints, parameters, source code (inference code, evaluation code, and if applicable, fine-tuning code) and any other materials associated with the TABPFN-2.5 AI models made available by Company under this License, including, if any, the technical documentation, manuals and instructions for the use and operation thereof (collectively, “TABPFN-2.5 Model”). Note that we may also make available certain elements of what is included in the definition of “TABPFN-2.5 Model” under a separate license and nothing in this License will be deemed to restrict or limit any other licenses granted by us in such elements.
@@ -10,7 +10,7 @@ This License is not available to consumers within the meaning of Section 13 of t
 1. Definitions.
 a. “Derivative” means any (i) modified version of the TABPFN-2.5 Model (including but not limited to any customized, fine-tuned, retrained, or otherwise adapted version thereof), (ii) work based on the TABPFN-2.5 Model, or (iii) any other derivative work thereof. For the avoidance of doubt, Outputs are not considered Derivatives under this License.
 b. “Distribution,” “Distribute,” or “Distributing” means providing or making available, by any means, a copy of the TABPFN-2.5 Model and/or the Derivatives as the case may be.
-c. “Non-Commercial Purpose” means use for testing, evaluation, or research not tied to commercial gain, production deployment, or revenue generation. This includes internal benchmarking, academic research, and experimentation on private or public datasets, provided the results are not used in commercial decision-making, client deliverables, or paid products/services. For clarity, use (a) for any revenue-generating activity, (b) in direct or indirect interactions with end users or production systems, or (c) to train, fine-tune, or distill other models for commercial use, in each case is not a Non-Commercial Purpose.
+c. “Non-Commercial Purpose” means use for testing, evaluation, or research not tied to commercial gain, production deployment, or revenue generation. This includes internal benchmarking, academic research, and experimentation on private or public datasets as well as Data Science Competitions as defined below, provided the results are not used in commercial decision-making, client deliverables, or paid products/services. For clarity, use (a) for any revenue-generating activity, (b) in direct or indirect interactions with end users or production systems, or (c) to train, fine-tune, or distill other models for commercial use, in each case is not a Non-Commercial Purpose. A Data Science Competitions in the meaning of this Agreement is a publicly accessible contest hosted on established platforms (such as Kaggle, DrivenData, or ChallengeData) or by academic/non-profit institutions where participants compete to develop predictive models for specified datasets.
 d. “Outputs” means predictions, scores, probabilities, recommendations, explanations, or other results generated by operation of the TABPFN-2.5 Model or any Derivative from datasets or other inputs supplied by a user. For the avoidance of doubt, Outputs do not include any components of the TABPFN-2.5 Model, such as any fine-tuned versions of the TABPFN-2.5 Model, the weights, or parameters.
 e. “you” or “your” means the individual or entity entering into this License with Company.