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README.md

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 license: mit
+size_categories:
+- n>1T
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+
+# Solar Flare Forecasting Labels
+
+## Dataset Summary
+
+This dataset provides binary labels for solar flare forecasting using a rolling window approach. Labels are generated based on both the **maximum flare intensity** and the **cumulative flare intensity** observed within each window. The data spans from 2010 to 2024 and is derived from NOAA GOES flare event listings.
+
+## Supported Tasks and Applications
+
+- `binary-classification`: Predict whether a given time window will contain a flare 
+    - Maximum intensity: greater than or equals to M1.0.
+    - Cumulative intensity: greather than or equals to 10.
+- `regression`: Predict Maximum intensity or cumulative intensity within a given time window
+
+## Dataset Structure
+
+### Data Files
+
+- `train.csv`: Input data from January to June (6 months)
+- `val.csv`: Input data from July to September (3 months)
+- `test.csv`: Input data from October to December (3 months)
+
+### Features
+
+- Applies a rolling time window (24h window) to generate:
+  - `max_goes_class`:  highest flare intensity/class in the 24-hour window
+  - `cumulative_index`:  sum of sub-class values in the 24-hour window
+  - `label_max`: Binary label (`max_goes_class` ≥ M1.0)
+  - `label_cum`: Binary label (`cumulative_index` ≥ 10)
+- Splits dataset into four seasonal subsets (3-month each)
+- Supports optional filtering using an external index (e.g., image availability in SuryaBench)
+
+### Data Format
+
+Each labeled record includes:
+
+```json
+{
+  "timestep": "2013-02-01T00:00:00",
+  "max_goes_class": "M2.5",
+  "cumulative_index": 38.5,
+  "max_label": 1,
+  "sum_label": 1
+}
+```
+
+## Dataset Details
+
+| Field | Description |
+|------------------------|---------------------------------------------|
+| **Temporal Coverage** | May 13, 2010 – Dec 31, 2024 |
+| **Data Format** | CSV (.csv), string-based schema |
+| **Data Size** | `Total 109,175 instances` |
+| **Total File Size** | ~3.7MB |