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metadata
license: mit
dataset_info:
  features:
    - name: objid
      dtype: int32
    - name: times_wv
      dtype:
        array2_d:
          shape:
            - 300
            - 2
          dtype: float64
    - name: target
      dtype:
        array2_d:
          shape:
            - 300
            - 2
          dtype: float64
    - name: label
      dtype:
        class_label:
          names:
            '0': $\mu$-Lens-Single
            '1': TDE
            '2': EB
            '3': SNII
            '4': SNIax
            '5': Mira
            '6': SNIbc
            '7': KN
            '8': M-dwarf
            '9': SNIa-91bg
            '10': AGN
            '11': SNIa
            '12': RRL
            '13': SLSN-I
            '14': extra
    - name: redshift
      dtype: float32
  splits:
    - name: train
      num_bytes: 75438576
      num_examples: 6274
    - name: validation
      num_bytes: 9402768
      num_examples: 782
    - name: test
      num_bytes: 9523008
      num_examples: 792
  download_size: 33374835
  dataset_size: 94364352
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Dataset Structure

Data Fields

  • object_id: unique object identifier
  • times_wv: 2D array of shape (N, 2) containing the observation times (modified Julian days, MJD) and filter (wavelength) for each observation, N=number of observations
  • target: 2D array of shape (N, 2) containing the flux (arbitrary units) and flux error for each observation
  • label: integer representing the class of the object
  • redshift: true redshift of the object

Data Splits

  • train
  • validation
  • test

Usage

from datasets import load_dataset
# Loading the data
dataset = load_dataset("BrachioLab/supernova-timeseries")
dataset

Citation Information

  • FIX Benchmark
@article{jin2024fix,
  title={The FIX Benchmark: Extracting Features Interpretable to eXperts}, 
  author={Jin, Helen and Havaldar, Shreya and Kim, Chaehyeon and Xue, Anton and You, Weiqiu and Qu, Helen and Gatti, Marco and Hashimoto, Daniel and Jain, Bhuvnesh and Madani, Amin and Sako, Masao and Ungar, Lyle and Wong, Eric},
  journal={arXiv preprint arXiv:2409.13684},
  year={2024}
}
  • Original Dataset
@article{allam2018photometric,
  title={The photometric lsst astronomical time-series classification challenge (plasticc): Data set},
  author={Allam Jr, Tarek and Bahmanyar, Anita and Biswas, Rahul and Dai, Mi and Galbany, Llu{\'\i}s and Hlo{\v{z}}ek, Ren{\'e}e and Ishida, Emille EO and Jha, Saurabh W and Jones, David O and Kessler, Richard and others},
  journal={arXiv preprint arXiv:1810.00001},
  year={2018}
}