--- license: mit size_categories: - n>1T --- # 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) To create other train, validation, and test set, use these files - `flare_cls_p1_1h.csv`: Input data from January to March - `flare_cls_p2_1h.csv`: Input data from April to June - `flare_cls_p3_1h.csv`: Input data from July to September - `flare_cls_p4_1h.csv`: Input data from October to December ### 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 |