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THUgewu commited on
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1 Parent(s): 974476b

Add TsFile (converted from Dongkkka/upload_test)

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.gitattributes CHANGED
@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ data/upload_test.tsfile filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - tsfile
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+ - timeseries
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+ - format:tsfile
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+ - time-series
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/upload_test.tsfile
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+ ---
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+
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+ # upload_test
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+
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+ Converted from the Hugging Face dataset [`Dongkkka/upload_test`](https://huggingface.co/datasets/Dongkkka/upload_test) to Apache TsFile format.
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+
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+ ## Source Dataset
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+
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+ - **Original dataset:** [`Dongkkka/upload_test`](https://huggingface.co/datasets/Dongkkka/upload_test)
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+ - **Authors:** Dongkkka
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+ - **License:** apache-2.0
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+
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+ ## Conversion Notes
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+
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+ - Conversion mode: `script`
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+ - Time precision: `ms`
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+ - TsFile data files: `['data/upload_test.tsfile']`
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+ - Converter: `scripts/converters/lerobot_listfix.py`
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+
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+ ## Usage
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+
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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/upload_test.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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+ ```
data/upload_test.tsfile ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:7d304e7fb78741005856dbebe7d270306eb22b73774a5bfe67d0fd8c4799c63e
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+ size 2432407
meta/episodes.jsonl ADDED
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+ {"episode_index": 0, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 1, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 2, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 5, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 6, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 12, "tasks": ["Pick up the coffee and place it into the carton"], "length": 601}
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+ {"episode_index": 13, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 14, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 15, "tasks": ["Pick up the coffee and place it into the carton"], "length": 601}
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+ {"episode_index": 16, "tasks": ["Pick up the coffee and place it into the carton"], "length": 601}
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+ {"episode_index": 17, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 18, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
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+ {"episode_index": 19, "tasks": ["Pick up the coffee and place it into the carton"], "length": 600}
meta/episodes_stats.jsonl ADDED
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3
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4
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5
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6
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7
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8
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9
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10
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11
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12
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13
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14
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15
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16
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17
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18
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19
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meta/tasks.jsonl ADDED
@@ -0,0 +1 @@
 
 
1
+ {"task_index": 0, "task": "Pick up the coffee and place it into the carton"}