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Benchmark/Numerical/README.md

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cfg: config files, need to fill in the path to the processed data
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data/data_prepare.py: process data, transform the PISA dataset prompt into the requried format for Transformer/Informer/Autoformer
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script: running script examples
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cmd_run.py: the main file, supporting timeF, fixed, and learned temporal embeddings
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module: the implentations of Tranformer/Informer/Autoformer. We appreciate the official [Autoformer](https://github.com/thuml/Autoformer) repository for the valuable implentations.

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