---
dataset_info:
  features:
  - name: flux_norm
    sequence: float32
  - name: label
    sequence: bool
  - name: metadata
    struct:
    - name: kic_id
      dtype: string
    - name: quarter
      dtype: string
    - name: file_name
      dtype: string
    - name: flux_median
      dtype: float32
  splits:
  - name: train
    num_bytes: 459209454
    num_examples: 26570
  - name: validation
    num_bytes: 28692964
    num_examples: 1661
  - name: test
    num_bytes: 85724045
    num_examples: 4983
  download_size: 542769083
  dataset_size: 573626463
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
license: mit
modalities:
- time-series
arxiv: "2407.21240"
tags:
- timeseries
---

# Kepler Flare Dataset

## Dataset Description

The Kepler Flare Dataset is a comprehensive collection of stellar flare events observed by the Kepler Space Telescope. This dataset is constructed based on the flare event catalog presented in [Yang & Liu (2019)](https://iopscience.iop.org/article/10.3847/1538-4365/ab0d28/meta), which provides a systematic study of stellar flares in the Kepler mission. All light curves are the long cadence (about 29.4 minutes) data.

### Dataset Features & Content

The dataset consists of high-quality photometric measurements from the Kepler Space Telescope, including:

- Light curves (flux measurements) normalized by their median values
- Binary classification labels for each time step (0: no flare, 1: flare event)
- Variable-length time series data
- Complete metadata for each observation

## Dataset Structure

Each sample contains the following fields:

```
{
    'flux_norm': List[float],      # Normalized flux values sequence
    'label': List[bool],           # Corresponding labels (True for flare events)
    'metadata': {
        'kic_id': str,            # Kepler Input Catalog ID
        'quarter': str,           # Observation quarter
        'file_name': str,         # Original file name
        'flux_median': float,     # Median flux used for normalization
    }
}
```

## Dataset Splits

The dataset is split into:
- Training set: 80%
- Validation set: 5%
- Test set: 15%

## Usage

You can load the dataset directly using the Hugging Face datasets library:

```python
from datasets import load_dataset

dataset = load_dataset("Maxwell-Jia/kepler-flare")
```

## Applications

This dataset is particularly useful for:
- Stellar flare detection and analysis
- Astronomical event detection
- Deep learning applications in astronomical time series

## Citation

If you use this dataset, please cite the following papers:

```bibtex
@article{yang2019flare,
  title={The flare catalog and the flare activity in the Kepler mission},
  author={Yang, Huiqin and Liu, Jifeng},
  journal={The Astrophysical Journal Supplement Series},
  volume={241},
  number={2},
  pages={29},
  year={2019},
  publisher={IOP Publishing}
}

@article{jia2024fcn4flare,
  title={FCN4Flare: Fully Convolution Neural Networks for Flare Detection},
  author={Jia, Ming-Hui and Luo, A-Li and Qiu, Bo},
  journal={arXiv preprint arXiv:2407.21240},
  year={2024}
}
```

## License

This dataset is released under the MIT License.

## Version

Current version: 1.0.0