Update README.md

README.md

@@ -13,11 +13,11 @@ size_categories:
 - 100B<n<1T
 ---
 
-Tokenized (Llama 2) verison of [NousResearch/dolma-v1_7-30B](https://huggingface.co/datasets/NousResearch/dolma-v1_7-30B) as a [Nanotron](https://github.com/huggingface/nanotron) dataset split into 10 GB chunks.
+Tokenized (Llama 2) verison of [emozilla/dolma-v1_7-30B](https://huggingface.co/datasets/emozilla/dolma-v1_7-30B) as a [Nanotron](https://github.com/huggingface/nanotron) dataset split into 10 GB chunks.
 
 To download:
 ```shell
-huggingface-cli download --repo-type dataset --local-dir dolma-v1_7-30B-tokenized-llama2-nanoset --local-dir-use-symlinks False NousResearch/dolma-v1_7-30B-tokenized-llama2-nanoset
+huggingface-cli download --repo-type dataset --local-dir dolma-v1_7-30B-tokenized-llama2-nanoset --local-dir-use-symlinks False emozilla/dolma-v1_7-30B-tokenized-llama2-nanoset
 ```
 
 To recombine:
@@ -31,7 +31,7 @@ Can also be used directly with numpy, for example
 import numpy as np
 
 dataset_buffer_mmap = np.memmap("dolma-v1_7-30B-tokenized-llama2-nanoset.npy",
-  mode="r", order="C", dtype=np.int32)
+  mode="r", order="C", dtype=np.int16)
 dataset_buffer = memoryview(dataset_buffer_mmap)
 dataset_number_of_tokens = int(len(dataset_buffer))
 ```