Add a runnable TsFile Usage example

README.md

@@ -48,10 +48,34 @@ A [LeRobot](https://github.com/huggingface/lerobot) robot-manipulation dataset.
 
 Camera video streams are **not** included in this repository; see the original dataset for the videos: https://huggingface.co/datasets/LSY-lab/libero_plus_spatial_noise_all_iiwa_failures (`videos/` directory). The numeric state/action series are complete; join with the original videos via `episode_index` + `frame_index`.
 
-## Usage
-
-Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
-
+## Usage
+
+Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:
+
+```python
+from pathlib import Path
+from tsfile import TsFileReader
+
+path = Path("data/libero_plus_spatial_noise_all_iiwa_failures.tsfile")
+with TsFileReader(str(path)) as reader:
+    schemas = reader.get_all_table_schemas()
+    print("tables:", list(schemas))
+    table_name = next(iter(schemas))
+    table = schemas[table_name]
+    columns = [column.get_column_name() for column in table.get_columns()]
+    print("columns:", columns)
+    field_names = [
+        column.get_column_name()
+        for column in table.get_columns()
+        if column.get_column_name() not in {"Time", "time"}
+    ]
+    if field_names:
+        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
+            batch = result.read_arrow_batch()
+            if batch is not None:
+                print(batch.to_pandas().head())
+```
+
 ## Source & license
 
 - Original dataset: https://huggingface.co/datasets/LSY-lab/libero_plus_spatial_noise_all_iiwa_failures