Commonsense Ability Tests

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Commonsense Ability Tests

Dataset and script for paper Evaluating Commonsense in Pre-trained Language Models

Use making_sense.py to run the experiments:
For ordinary tests:
python making_sense.py ca bert nr

For robust tests:
python making_sense.py ca bert r

Note that ca is the name of the task and bert is the model we are using. The default model is bert-base-uncased. To use bert-large, just modify the from_pretrained('bert-base-uncased') in the code. For more details, see Huggingface Transformers.

Due to the updating of Huggingface scripts and some of our datasets, some numbers we showed in the paper may not exactly match the what you might get by rerunning the experiments. However, the conclusion should be the same.

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Comments
  • Missing LICENSE

    Missing LICENSE

    I see you have no LICENSE file for this project. The default is copyright.

    I would suggest releasing the code under the GPL-3.0-or-later or AGPL-3.0-or-later license so that others are encouraged to contribute changes back to your project.

    opened by TechnologyClassroom 1
Owner
XUHUI ZHOU
XUHUI ZHOU
GitHub
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