docs: prominent download instructions

README.md

@@ -72,9 +72,28 @@ negative = discharge.
 Join keys: `cells.cell_id = tests.cell_id`, `tests.test_id = timeseries.test_id`,
 `(tests.test_id, cycle_number) = cycle_summary.(test_id, cycle_number)`.
 
-## Quick start
+## Download the whole bundle
 
-### DuckDB — read everything in place, no download
+```bash
+# CLI — pulls everything (cells/*.json, tests/*.json, timeseries.parquet, cycle_summary.parquet)
+pip install huggingface_hub
+huggingface-cli download mihnathul/celljar --repo-type dataset --local-dir ./celljar-bundle
+
+# Pin a tagged release for reproducibility
+huggingface-cli download mihnathul/celljar --repo-type dataset --revision v0.2.0 --local-dir ./celljar-bundle
+```
+
+Or in Python:
+
+```python
+from huggingface_hub import snapshot_download
+local = snapshot_download(repo_id="mihnathul/celljar", repo_type="dataset", revision="v0.2.0")
+print(local)  # local path containing cells/, tests/, timeseries.parquet, cycle_summary.parquet
+```
+
+## Query in place — no download needed
+
+### DuckDB — full SQL across all entities over HTTPS
 
 ```sql
 INSTALL httpfs; LOAD httpfs;
@@ -90,23 +109,20 @@ GROUP BY 1,2,3,4,5
 ORDER BY t.test_id;
 ```
 
-### pandas — predicate-pushdown read of one test
+### pandas / Polars — predicate-pushdown read of one test
 
 ```python
 import pandas as pd
-
 df = pd.read_parquet(
     "https://huggingface.co/datasets/mihnathul/celljar/resolve/main/timeseries.parquet",
     filters=[("test_id", "==", "ORNL_LEAF_2013_HPPC_25C")],
 )
-print(df.head())
 ```
 
 ### `datasets` library — streaming
 
 ```python
 from datasets import load_dataset
-
 ds = load_dataset(
     "parquet",
     data_files="https://huggingface.co/datasets/mihnathul/celljar/resolve/main/timeseries.parquet",
@@ -117,15 +133,6 @@ for row in ds.take(5):
     print(row)
 ```
 
-### `huggingface_hub` — pull the whole bundle locally
-
-```python
-from huggingface_hub import snapshot_download
-
-local = snapshot_download(repo_id="mihnathul/celljar", repo_type="dataset")
-print(local)  # contains cells/, tests/, timeseries.parquet
-```
-
 ## License & citation
 
 The science here belongs to the original authors; celljar simply puts their