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Reformat example data names: use {region}_data for 1-day data, and {region}_data_1min for 1-min data (#781)
* Fix high-freq data name from `yahoo_cn_1min` to `cn_data_1min`
* re-format example data names using `qlib_{region}_{feq}`, e.g. qlib_cn_1d
* re-format example data names using `{region}_{feq}`, e.g. us_1d and cn_1min
* keep using for 1day data, and change 1min data to
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@@ -9,7 +9,7 @@ Here are the results of each benchmark model running on Qlib's `Alpha360` and `A
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The numbers shown below demonstrate the performance of the entire `workflow` of each model. We will update the `workflow` as well as models in the near future for better results.
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<!--
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> If you need to reproduce the results below, please use the **v1** dataset: `python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/qlib_cn_1d --region cn --version v1`
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> If you need to reproduce the results below, please use the **v1** dataset: `python scripts/get_data.py qlib_data --target_dir ~/.qlib/qlib_data/cn_data --region cn --version v1`
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>
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> In the new version of qlib, the default dataset is **v2**. Since the data is collected from the YahooFinance API (which is not very stable), the results of *v2* and *v1* may differ -->
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