Update README.md

README.md

@@ -29,3 +29,17 @@ These datasets are intended to be used in conjunction with the code at: https://
 Download and unzip the .tar.gz files into a directory with enough storage. For the datasets split into different chunks, concatenate all the files into one data.prefix file after unzipping.
 
 Then, follow the instructions in this [README](https://github.com/facebookresearch/LWE-benchmarking/blob/main/README.md) to generate the full sets of LWE pairs and train AI models on this data.
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+Due to storage constraints, we only provide 40M of the n=256 data here on huggingface. The rest can be found at this directory (append filenames ranging from chunk_ab.tar.gz to chunk_aj.tar.gz to download): http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/
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+Here are the exact links to each remaining section of the n=256 data (each link has 40M examples): 
+[1](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_ab.tar.gz) 
+[2](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_ac.tar.gz)
+[3](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_ad.tar.gz) 
+[4](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_ae.tar.gz)
+[5](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_af.tar.gz) 
+[6](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_ag.tar.gz)
+[7](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_ah.tar.gz) 
+[8](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_ai.tar.gz)
+[9](http://dl.fbaipublicfiles.com/large_objects/lwe-benchmarking/n256_logq20/chunk_aj.tar.gz)