Update README.md

README.md

@@ -73,7 +73,7 @@ In this repository we provide raw results of cross deduplication and filtering.
 We found the following optimal weights by number of tokens (in the sense of weights in the resultant dataset): DCLM - 4.0, FWE3 - 4.0, Zyda - 0.16, Dolma-CC - 0.24.
 
 Below you will find an example of how to get proper dataset object.
-It demonstrates how to select only `nemo_id` and `text` columns, and then interleave the dataset with probabilities computed from the weights above.
+It demonstrates how to select only `nemo_id` and `text` columns, and then interleave the datasets with probabilities computed from the weights above.
 One needs to be careful with weights normalization, as `interleave_datasets()` returns documents, while our weights are token-wise. We provide precomputed document-wise weights in the example below.
 To stream the dataset, add `streaming=True` to the `load_dataset()` commands.