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Add a runnable TsFile Usage example

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  1. README.md +28 -4
README.md CHANGED
@@ -41,10 +41,34 @@ A [LeRobot](https://github.com/huggingface/lerobot) robot-manipulation dataset.
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  Camera video streams are **not** included in this repository; see the original dataset for the videos: https://huggingface.co/datasets/axiboai/umi_stacking_slow (`videos/` directory).
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- ## Usage
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-
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- Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Source & license
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  - Original dataset: https://huggingface.co/datasets/axiboai/umi_stacking_slow
 
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  Camera video streams are **not** included in this repository; see the original dataset for the videos: https://huggingface.co/datasets/axiboai/umi_stacking_slow (`videos/` directory).
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+ ## Usage
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+
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+ Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:
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+
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+ ```python
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+ from pathlib import Path
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+ from tsfile import TsFileReader
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+
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+ path = Path("data/umi_stacking_slow.tsfile")
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+ with TsFileReader(str(path)) as reader:
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+ schemas = reader.get_all_table_schemas()
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+ print("tables:", list(schemas))
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+ table_name = next(iter(schemas))
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+ table = schemas[table_name]
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+ columns = [column.get_column_name() for column in table.get_columns()]
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+ print("columns:", columns)
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+ field_names = [
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+ column.get_column_name()
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+ for column in table.get_columns()
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+ if column.get_column_name() not in {"Time", "time"}
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+ ]
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+ if field_names:
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+ with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
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+ batch = result.read_arrow_batch()
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+ if batch is not None:
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+ print(batch.to_pandas().head())
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+ ```
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+
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  ## Source & license
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  - Original dataset: https://huggingface.co/datasets/axiboai/umi_stacking_slow