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License: Apache License 2.0
Code and data for the paper: "Unsupervised Common Sense Question Answering with Self-Talk"
License: Apache License 2.0
Hello! I can not find the module unite_clarifications.py in source/preprocessing
I believe there is a bug around the following line in the baseline prediction code:
A probe that shows this is indeed a bug: change the default padding token in that line from 0 to 50256. The predictions and accuracies obtained by running bash experiments/piqa/predict_baseline_zero_shot.sh 0 dev
will change.
If the code is modified to ignore the padding tokens when scoring, the baseline results improve significantly. For example, on the PIQA validation set, the accuracy of GPT-XL, computed correctly, is 69.6% (compared with 62.6% as reported in Table 2 of your paper).
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