File size: 2,318 Bytes
4f6853f de823f5 4f6853f de823f5 0695b2b de823f5 da838fb de823f5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 |
---
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 |
|