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Implement the adversarially-mined Winogrande evaluation #13
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Note: HuggingFace includes this in its datasets package. |
Format of the evaluations is different, since this task uses the "partial evaluation" method, where they have the network rate the probability of the context with a missing word/phrase filled in. |
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Fix tasks for GEM/mlsum
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From the GPT-3 paper
The evaluation code should be modeled after the interface in
lm_eval/base.py
and the example of theBoolQ
task inlm_eval/tasks/suerglue.py
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