synth-sky-images / README.md
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---
license: mit
dataset_info:
features:
- name: image
dtype: image
- name: time
dtype: timestamp[us, tz=-05:00]
- name: ghi
dtype: float32
- name: dni
dtype: float32
- name: dhi
dtype: float32
splits:
- name: train
num_bytes: 450518979.0
num_examples: 290472
- name: test
num_bytes: 23313051.0
num_examples: 15288
download_size: 57111923
dataset_size: 473832030.0
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
---
# Dataset Card for Synth-Sky-Images
<!-- Provide a quick summary of the dataset. -->
This dataset contains synthetic sky images generated using the Python package pvlib and some image manipulation.
It is being used by me for testing and learning how to use HuggingFace's image dataset capabilities.
## Dataset Details
### Dataset Description
<!-- Provide a longer summary of what this dataset is. -->
Images are generated by determining the azimuth and zenith angles at each timestamp and projecting onto a fisheye lens.
North points vertically downward in the images.
The irradiances are from a clear-sky model.
The coordinates used to generate the sun angles and irradiances are (42.35909424627762, -71.09166390057037).