---
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

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