Update README.md

README.md

@@ -87,8 +87,8 @@ norm_weights = [0.4038, 0.0316, 0.0585, 0.5061]
 ds = datasets.interleave_datasets([ds_dclm, ds_zyda, ds_dolma, ds_fwe], probabilities=norm_weights, stopping_strategy="all_exhausted")
 ```
 
-### (Smaller) sample versions
-Along with the configs above dump, you can also download a smaller version of the dataset with the following config:
+### (Smaller) sample version
+Along with the configs above, you can also download a smaller version of the dataset with the following config:
 - `sample-100BT`: a subset randomly sampled from the whole dataset of around 100B gpt-neox tokens (252GB, 91.2M documents).
 
 This sample only has common columns `nemo-id` and `text`. In addition, it was sampled according to optimal weights, so you can start using it directly.