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For now, when loading MTEB_ENG_CLASSIC, it provides:
MTEB_ENG_CLASSIC
from mteb import MTEB_ENG_CLASSIC MTEB_ENG_CLASSIC.tasks # MTEBTasks(..., STS17Crosslingual(name='STS17', languages=['ara', 'deu', 'eng', '...']), STS22CrosslingualSTS(name='STS22', languages=['cmn', 'deu', 'eng', '...']), ....)
However, in the old leaderboard, only the en split is selected https://github.com/embeddings-benchmark/leaderboard/blob/80dd9a2b2d4a0abc368a6cea5f79a517b753951b/config.yaml#L124-L125.
en
This could be an issue because main score for tasks is averaged
mteb/mteb/load_results/task_results.py
Line 500 in 75d78c1
The text was updated successfully, but these errors were encountered:
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For now, when loading
MTEB_ENG_CLASSIC
, it provides:However, in the old leaderboard, only the
en
split is selected https://github.com/embeddings-benchmark/leaderboard/blob/80dd9a2b2d4a0abc368a6cea5f79a517b753951b/config.yaml#L124-L125.This could be an issue because main score for tasks is averaged
mteb/mteb/load_results/task_results.py
Line 500 in 75d78c1
The text was updated successfully, but these errors were encountered: