[Feature] Add reasonbench dataset #577
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Please provide the prompt for generation setting(for chat model) |
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Also please use pre-commit to lint the code |
add new features by other contributors
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In the new commits, I provide prompt and configs for supporting generative inference as well as merge datasets that in the same category. After ensuring that OpenCompass is installed correctly and the datasets are prepared, we are able to evaluate the performance of the LLaMA-7b model on the ReasonBench datasets in a generative way using the following command:
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Leymore
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Jan 8, 2024
* [Feature] Add reasonbench dataset * add configs for supporting generative inference & merge datasets in the same category * modify config filename to prompt version * fix codes to meet pre-commit requirements * lint the code to meet pre-commit requirements * Align Load_data Sourcecode Briefly * fix bugs * reduce code redundancy
liuyaox
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Jun 26, 2024
* [Feature] Add reasonbench dataset * add configs for supporting generative inference & merge datasets in the same category * modify config filename to prompt version * fix codes to meet pre-commit requirements * lint the code to meet pre-commit requirements * Align Load_data Sourcecode Briefly * fix bugs * reduce code redundancy
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Motivation
Add a benchmark that support specially evaluating reasoning ability of LLMs.
Modification
Add preprocess methods and configs for several datasets, aiming evaluating the abilities of inductive reasoning, deductive reasoning, abductive reasoning, causal reasoning, symbolic reasoning and commonsense reasoning.
BC-breaking (Optional)
N/A.
Use cases (Optional)
After ensuring that OpenCompass is installed correctly according to the previous steps and the datasets are prepared, you can evaluate the performance of the LLaMA-7b model on the ReasonBench datasets using the following command:
python run.py --models hf_llama_7b --datasets reasonbench_ppl