Update README.md

README.md

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 This repository contains a complete repack of [ILSVRC/imagenet-1k](https://huggingface.co/datasets/ILSVRC/imagenet-1k/) in Parquet format with the following data transformations:
 
 1. Images were center-cropped to square to the minimum height/width dimension.
-2. Images were then rescaled to 256x256 using one of two resampling methods; either a.) when the original width/height are divisible by 256, used nearest-neighbor resampling, or b.) otherwise, use bilinear resampling. This dataset is available at [benjamin-paine/imagenet-1k-256x256](https://huggingface.co/datasets/benjamin-paine/imagenet-1k-256x256)
-3. Images were then rescaled to 128x128 using nearest neighbor sampling. This dataset is available at [benjamin-paine/imagenet-1k-128x128](https://huggingface.co/datasets/benjamin-paine/imagenet-1k-128x128).
-4. Images were then rescaled to 64x64 using nearest neighbor sampling.  This dataset is available at [benjamin-paine/imagenet-1k-64x64](https://huggingface.co/datasets/benjamin-paine/imagenet-1k-64x64).
-5. Images were then rescaled to 32x32 using nearest neighbor sampling.
+2. Images were then rescaled to 256x256 using Lanczos resampling. This dataset is available at [benjamin-paine/imagenet-1k-256x256](https://huggingface.co/datasets/benjamin-paine/imagenet-1k-256x256)
+3. Images were then rescaled to 128x128 using Lanczos resampling. This dataset is available at [benjamin-paine/imagenet-1k-128x128](https://huggingface.co/datasets/benjamin-paine/imagenet-1k-128x128).
+4. Images were then rescaled to 64x64 using Lanczos resampling. This dataset is available at [benjamin-paine/imagenet-1k-64x64](https://huggingface.co/datasets/benjamin-paine/imagenet-1k-64x64).
+5. Images were then rescaled to 32x32 using Lanczos resampling.
 
 This is the smallest version (dimensionally) of this dataset that I have made.