Create README.md

README.md

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+[https://github.com/liaopeiyuan/artbench](ArtBench) samples encoded to SDXL latents via [Ollin VAE](https://huggingface.co/madebyollin/sdxl-vae-fp16-fix).
+
+Dataset created using [this script](https://github.com/Birch-san/sdxl-diffusion-decoder/blob/main/script/make_sdxl_latent_dataset.py).
+
+Schema/usage:
+
+```python
+from typing import TypedDict, Iterator
+from webdataset import WebDataset
+Sample = TypedDict('Sample', {
+  '__key__': str,
+  '__url__': str,
+  'cls.txt': NotRequired[bytes],
+  'img.png': bytes,
+  'latent.pth': bytes,
+})
+
+it: Iterator[Sample] = WebDataset('train/{00000..00004}.tar')
+
+for sample in it:
+  pass
+```
+
+The data sources of ArtBench-10 is released under a Fair Use license, as requested by WikiArt, Ukiyo-e.org database and The Surrealism Website.  
+For more information, see https://www.wikiart.org/en/terms-of-use, https://ukiyo-e.org/about and https://surrealism.website/ 
+
+train: 50000 samples  
+test: 10000 samples
+
+```
+test/avg/val.pt:
+[-0.11362826824188232, -0.7059057950973511, 0.4819808006286621, 2.2327630519866943]
+
+test/avg/sq.pt:
+[52.59075927734375, 30.115631103515625, 44.977020263671875, 30.228885650634766]
+
+train/avg/val.pt:
+[-0.1536690890789032, -0.7142514586448669, 0.4706766605377197, 2.24863600730896]
+
+train/avg/sq.pt:
+[51.99677276611328, 30.184646606445312, 44.909732818603516, 30.234216690063477]
+```