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Implemented EU22/EU5 translations #105
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Some of the tasks are not translated into all 20 EU languages available on DeepL, but only to DE/FR/IT/ES.
Currently the tasks are being run on the cluster. If there should occur problems, I'll give an update.
super().__init__() | ||
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def has_training_docs(self): | ||
return False |
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Looking at https://huggingface.co/datasets/openGPT-X/mmlux/tree/main
, there seem to be three splits per subject (dev, validation, test) - should dev be used as train split?
volume={abs/1803.05457} | ||
} | ||
""" | ||
LANGS = [ |
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Would it make sense to include English here to ensure that all languages are evaluated the same way?
Added translated datasets for arc, truthfulqa, gsm8k, hellaswag and mmlu.