Worked on stabilizing the MTEB evaluation workflow in the upstash/FlagEmbedding repository, focusing on improving data access reliability and simplifying data processing. Addressed a bug in the MTEB evaluation runner by removing redundant retrieval of the first element from a list when accessing the scores dictionary, opting instead for direct use of the scores split. This adjustment, implemented using Python and leveraging data processing and scripting skills, reduced potential errors and made debugging more straightforward. The resulting improvements enhanced the robustness of evaluation data, enabling faster and more reliable benchmarking, which supports more efficient iteration and greater confidence in evaluation metrics.