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