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Our work studies the ratio between signal, a benchmark's ability to separate models; and noise, a benchmark's sensitivity to random variability during training steps.
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**This dataset contains evaluation results.
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### Main Eval Suite (375 models)
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Our work studies the ratio between signal, a benchmark's ability to separate models; and noise, a benchmark's sensitivity to random variability during training steps.
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**This dataset contains evaluation results. For utilites to use this dataset and to reproduce the findings in our paper, please see our [github](https://github.com/allenai/signal-and-noise).**
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### Main Eval Suite (375 models)
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