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Execution model & Model/Evaluation status tracking #631

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This PR makes several changes to the codebase, converting the Results entities into Execution entities. Executions are now created when a benchmark pipeline (model -> evaluation) starts, and are used to keep track of the execution of the model and evaluator MLCubes. This way, benchmark owners can identify pipelines that are not working as expected, and have visibility of the progress of their benchmark.

@aristizabal95 aristizabal95 added type: enhancement New feature or request component: client issues regarding the CLI component: server issues regarding the server topic: benchmark registry labels Dec 5, 2024
@aristizabal95 aristizabal95 self-assigned this Dec 5, 2024
@aristizabal95 aristizabal95 requested a review from a team as a code owner December 5, 2024 21:07
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github-actions bot commented Dec 5, 2024

MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅

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component: client issues regarding the CLI component: server issues regarding the server topic: benchmark registry type: enhancement New feature or request
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