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fix for dataset details

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  1. README.md +1 -3
README.md CHANGED
@@ -23,7 +23,6 @@ Two derived binary labels are included for forecasting tasks:
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  For completeness, we also include (1) GOES class, which is determined from the peak X-ray flux of the most intense flare in the prediction window; and (2) cumulative index determined from all ≥C-class flares in the prediction window.
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- ---
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  ## Supported Tasks and Applications
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@@ -31,7 +30,6 @@ For completeness, we also include (1) GOES class, which is determined from the p
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  `ordinal-classification`: Predict flare-class of a given instance.
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  - `regression`: Predict cumulative flare index of a given instance.
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- ---
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  ## Dataset Structure
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@@ -52,7 +50,7 @@ Each record includes four label fields:
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  - **`label_max`**: Binary label, 1 if `goes_class` ≥ M1.0, else 0.
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  - **`label_cum`**: Binary label, 1 if `cumulative_index` ≥ 10, else 0.
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- Example entry:
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  ```json
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  {
 
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  For completeness, we also include (1) GOES class, which is determined from the peak X-ray flux of the most intense flare in the prediction window; and (2) cumulative index determined from all ≥C-class flares in the prediction window.
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  ## Supported Tasks and Applications
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  `ordinal-classification`: Predict flare-class of a given instance.
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  - `regression`: Predict cumulative flare index of a given instance.
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  ## Dataset Structure
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  - **`label_max`**: Binary label, 1 if `goes_class` ≥ M1.0, else 0.
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  - **`label_cum`**: Binary label, 1 if `cumulative_index` ≥ 10, else 0.
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+ Example entry (in JSON format):
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  ```json
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  {