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Datasets:
azithromycin
/
williamdgomez_SNOW.SB

Tasks:
Robotics
Modalities:
Time-series
Tabular
Size:
10K<n<100K
Tags:
tsfile
timeseries
tabular
robotics
lerobot
manipulation
License:
Dataset card Files
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 Community
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Add TsFile (converted from williamdgomez/SNOW.SB)

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  1. .gitattributes +1 -0
  2. README.md +119 -0
  3. data/williamdgomez_snow_sb.tsfile +3 -0
  4. meta/episodes/chunk-000/file-000.parquet +3 -0
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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/williamdgomez_snow_sb.tsfile filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -1,3 +1,122 @@
1
  ---
2
  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ authors:
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+ - williamdgomez
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+ task_categories:
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+ - robotics
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+ tags:
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+ - tsfile
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+ - timeseries
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+ - tabular
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+ - robotics
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+ - lerobot
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+ - manipulation
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+ modality:
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+ - timeseries
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+ - tabular
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+ pretty_name: SNOW.SB TsFile
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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/williamdgomez_snow_sb.tsfile
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+
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+ # SNOW.SB TsFile
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+
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+ This repository is an Apache TsFile conversion of the LeRobot dataset
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+ [`williamdgomez/SNOW.SB`](https://huggingface.co/datasets/williamdgomez/SNOW.SB).
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+ The original Hugging Face repository and its commit history identify
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+ `williamdgomez` as the dataset author/uploader. The source dataset was created
33
+ with LeRobot v3.0 for the `lekiwi_client` robot.
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+
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+ ## Source Dataset
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+
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+ - Dataset: [`williamdgomez/SNOW.SB`](https://huggingface.co/datasets/williamdgomez/SNOW.SB)
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+ - Author/uploader: [`williamdgomez`](https://huggingface.co/williamdgomez)
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+ - License: Apache-2.0
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+ - Task: Pick up the block and place it in the bin
41
+ - Split: `train` (`0:91`)
42
+ - Sampling rate: 24 fps
43
+ - Scale: 91 episodes, 73,578 frames, 1 task
44
+ - Source data shards: 91 Parquet files under `data/chunk-000/file-*.parquet`
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+ - Source video files: 273 MP4 files, 91 per camera stream
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+
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+ The source video streams are stored at [`videos/`](https://huggingface.co/datasets/williamdgomez/SNOW.SB/tree/main/videos):
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+
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+ - `videos/observation.images.front/chunk-000/file-{file_index:03d}.mp4`
50
+ - `videos/observation.images.wrist/chunk-000/file-{file_index:03d}.mp4`
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+ - `videos/observation.images.top/chunk-000/file-{file_index:03d}.mp4`
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+
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+ Videos are not included in this TsFile repository. They remain available in
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+ the original Hugging Face dataset and can be aligned with rows using
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+ `episode_index`, `frame_index`, and the source `meta/episodes` offsets.
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+
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+ ## Converted Files
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+
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+ - TsFile: `data/williamdgomez_snow_sb.tsfile`
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+ - Table: `williamdgomez_snow_sb`
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+ - Rows: 73,578
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+ - Devices: 91 (`episode_index` x `task_index`)
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+ - Time precision: milliseconds
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+ - Metadata: `meta/` mirrors the source metadata; `meta/info.json` records the
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+ TsFile path and conversion mapping.
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+
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+ ## Schema
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+
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+ `Time` is `round(timestamp * 1000)` and is stored in milliseconds. The source
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+ `timestamp` is dropped after this conversion because it is exactly the seconds
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+ representation of `Time`; `Time` restarts at zero for each episode.
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+
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+ | Column group | TsFile columns | Type / role |
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+ |---|---|---|
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+ | Time | `Time` | INT64/TIMESTAMP, TIME |
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+ | Tags | `episode_index`, `task_index` | TAG/device segments |
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+ | Frame metadata | `frame_index`, `sample_index` | INT64 FIELD; `sample_index` is source `index` |
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+ | Action | `action_0` ... `action_8` | FLOAT FIELD, flattened from `action[9]` |
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+ | Observation | `observation_state_0` ... `observation_state_8` | FLOAT FIELD, flattened from `observation.state[9]` |
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+
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+ Vector names preserve their source prefixes (`.` becomes `_`) and append a
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+ zero-based element index. The three video features
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+ (`observation.images.front`, `.wrist`, `.top`) are omitted from the TsFile
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+ because TsFile stores the numeric time-series table while the original MP4
85
+ files remain at the source URL.
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+
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+ ## Encoding and Compression
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+
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+ The local conversion used the type-aware TsFile writer profile requested for
90
+ this dataset:
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+
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+ - FLOAT/DOUBLE: `GORILLA` with `LZ4`
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+ - INT32/INT64 and `Time`: `TS_2DIFF` with `LZ4`
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+ - BOOLEAN (if present): `RLE` with `LZ4`
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+ - TAG columns: TsFile table/device TAG mechanism
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+
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+ The generated TsFile is 1,456,157 bytes. The merged staged Parquet is
98
+ 1,235,578 bytes, and the 91 source Parquet shards total 3,152,836 bytes.
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+
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+ ## Validation
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+
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+ Apache TsFile Python SDK readback succeeded. The TsFile metadata row count and
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+ query readback both equal the staged Parquet count: 73,578 rows. All 91
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+ episode devices have monotonic `Time` values with no duplicate
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+ (`episode_index`, `task_index`, `Time`) keys.
106
+
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+ ## Usage
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+
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+ ```python
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+ from tsfile import TsFileReader
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+
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+ reader = TsFileReader("data/williamdgomez_snow_sb.tsfile")
113
+ table = reader.get_all_table_schemas()["williamdgomez_snow_sb"]
114
+ columns = [c.get_column_name() for c in table.get_columns() if c.get_column_name() != "Time"]
115
+
116
+ with reader.query_table("williamdgomez_snow_sb", columns, batch_size=65536) as result:
117
+ batch = result.read_arrow_batch()
118
+ ```
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+
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+ ## Citation
121
+
122
+ The original dataset card does not provide a paper or BibTeX citation.
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