# License Eligibility

**URL:** <https://community.drivendata.org/t/license-eligibility/9828>\
**Category:** SNOMED CT Entity Linking\
**Created:** [December 30, 2023, 1:51pm UTC](https://community.drivendata.org/t/license-eligibility/9828 "2023-12-30T13:51:28Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![luluisco](https://avatars.discourse-cdn.com/v4/letter/l/278dde/32.png) [@luluisco](https://community.drivendata.org/u/luluisco)\
**Post date:** [December 30, 2023, 1:51pm UTC](https://community.drivendata.org/t/license-eligibility/9828/1 "2023-12-30T13:51:28Z")

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Hello,

I would like to know if the following licenses are eligible for winning a prize:

- LLAMA 2 Community License Agreement: [LLAMA 2 License](https://ai.meta.com/llama/license/)
- Yi-License: [Yi License](https://github.com/01-ai/Yi/blob/main/MODEL_LICENSE_AGREEMENT.txt)
- The PhysioNet Credentialed Health Data License for the MIMIC III dataset ?
- BigScience RAIL License v1.0 ?
- CC BY-SA 4.0 LEGAL CODE?
- OPENAI Ada v2 embeddings ?
- MICROSOFT RESEARCH LICENSE TERMS

Can you provide information on their eligibility for prize consideration?

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**Author:** ![emily](https://avatars.discourse-cdn.com/v4/letter/e/8c91f0/32.png) [@emily](https://community.drivendata.org/u/emily)\
**Post date:** [January 4, 2024, 7:15pm UTC](https://community.drivendata.org/t/license-eligibility/9828/2 "2024-01-04T19:15:12Z")

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Hi @luluisco,

As stated in the [rules](https://www.drivendata.org/competitions/258/competition-snomed-ct/rules/#data-use-and-code-sharing), prize-eligible submissions may **not** use:

- software that is not licensed under an Open Source Initiative approved license; or
- an open source license that prohibits commercial use

Common OSI licenses are MIT and Apache 2.0. You can find a full list [here](https://opensource.org/licenses/).

Training on MIMIC III dataset is a slightly different question as it’s about data rather than models. Training on MIMIC III and IV is allowed in this competition. This is now specified on the problem description page.

Regarding ada embeddings, you are not allowed to pass the clinical notes into OpenAI models (since they are not open source) and because this is a violation of the data terms from PhysioNet. Remember that the clinical notes are extremely sensitive and cannot be shared. If you need embeddings for RAG techniques, you could use a model like [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding).

Good luck!  
Emily