Datasets:

helenqu
/

astro-classification-noaugment

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Data Format

The dataset has been split into train, val, and test jsonl files. Each line of each jsonl file has the following fields:

object_id: unique identifier for the object
times_wv: an array of shape (T, 2), where the i-th element contains (t_i, w_i), the time and wavelength of the i-th measured flux value. If t_i = 0, then this is a padded value and the associated flux f_i will also be 0.
lightcurve: an array of shape (T, 2), where the i-th element contains (f_i, f_err_i), the i-th flux and uncertainty on that flux measurement (flux error).
label: an integer label corresponding to an astronomical object type. This is the value to be predicted.

The directory includes a custom dataset loading script (raw_train_with_labels.py), which will be used when calling

load_dataset("/path/to/current/dir")