Update README.md

README.md

@@ -29,7 +29,7 @@ Let's clarify the mapping between chunks and checkpoints with an example.
 Batches with `batch_idx` >= 1000 are only seen by later checkpoints.
 
 
-*NOTE: additional log-spaced checkpoints are available for the initial part of training (i.e., steps 1, 2, 4, 8, ..., 512). I did not create a separate file for these, but you can easily subset the first chunk (i.e., `data/train-001000.parquet`).
+*NOTE: Additional log-spaced checkpoints are available for the initial part of training (i.e., steps 1, 2, 4, 8, ..., 512). I did not create a separate file for these, but you can easily subset the first chunk (i.e., `data/train-001000.parquet`).
 
 
 ## License
@@ -39,4 +39,21 @@ For the license, refer to the original dataset ([EleutherAI/pile-deduped-pythia-
 
 ## Acknowledgements
 
-Kudos to [LLM360/AmberDatasets](https://huggingface.co/datasets/LLM360/AmberDatasets), which inspired this release.
+Kudos to [LLM360/AmberDatasets](https://huggingface.co/datasets/LLM360/AmberDatasets), which inspired this release.
+
+
+## Interacting with the data
+
+Besides clarity and ease-of-use, another great advantage of this release is that it allows users to easily interact with the data without downloading it.
+The parquet format plays nicely with the Hugging Face Hub. So you can use its integrations with external tools like [DuckDB](https://huggingface.co/docs/hub/en/datasets-duckdb) or [pola-rs](https://huggingface.co/docs/hub/en/datasets-polars) to run queries over the data.
+For example,
+
+```python
+import duckdb as db
+
+df = db.sql("""
+SELECT batch_idx, count(1) as count 
+FROM 'hf://datasets/pietrolesci/pile-deduped-pythia-preshuffled/data/*.parquet' 
+GROUP BY batch_idx
+""").df()
+```