Datasets:
Jetson1 060826 Subtask Grab2 TsFile
This dataset is an Apache TsFile conversion of
VibeCuisine/jetson1-060826-subtask-grab2,
a LeRobot v3.0 robot dataset.
Modalities: Time-series. The converted repository contains numeric robot observations, actions, frame timing, task/episode tags, and source metadata. Camera videos remain in the original Hugging Face dataset.
Source Dataset
- Source dataset:
VibeCuisine/jetson1-060826-subtask-grab2 - License: Apache-2.0
- Robot type:
vibeboard_follower_tilt - LeRobot codebase version:
v3.0 - Split:
train - Scale: 55 episodes, 7,683 frames, 1 task, 20 fps
- Source frame layout:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - Source video layout:
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4 - Task metadata:
grab the cucumber close to one of the cucumber's end
Converted Files
- TsFile:
data/jetson1_060826_subtask_grab2.tsfile - Table:
jetson1_060826_subtask_grab2 - Rows: 7,683
- Episodes: 55
- Time precision: milliseconds
- Metadata:
meta/is mirrored from the source, withmeta/info.jsonupdated to describe the converted TsFile artifact.
Schema
Time is synthesized as round(timestamp * 1000) milliseconds and restarts
within each episode.
TAG columns:
episode_indextask_index
Scalar FIELD columns:
frame_indexsample_index, renamed from the sourceindex
Flattened FLOAT FIELD groups:
action[7]->action_0...action_6observation.state[7]->observation_state_0...observation_state_6
Conversion Notes
- The generic
lerobotconverter was used. - All source frame Parquet shards are merged into one TsFile table. Use
episode_indexandtask_indexTAG filters to select an episode or task. - Vector columns are flattened to scalar TsFile fields. Source column prefixes
are preserved, with
.replaced by_. - The source
timestampcolumn is dropped afterTimesynthesis because it is redundant withTime / 1000seconds. - The source
indexcolumn is renamed tosample_index. - Source camera video streams are not included in this repository:
observation.images.top,observation.images.wrist, andobservation.images.base. They remain available in the original dataset undervideos/. - No rows and no numeric time-series fields are intentionally dropped other
than the redundant
timestampcolumn noted above.
Validation
The converted TsFile was read back with the Apache TsFile Python SDK. The TsFile metadata row count and query readback both matched the staged Parquet: 7,683 rows.
Usage
from tsfile import TsFileReader
path = "data/jetson1_060826_subtask_grab2.tsfile"
reader = TsFileReader(path)
schemas = reader.get_all_table_schemas()
table_name = "jetson1_060826_subtask_grab2"
columns = [
column.get_column_name()
for column in schemas[table_name].get_columns()
if column.get_column_name() not in {"Time"}
]
with reader.query_table(table_name, columns, batch_size=65536) as result:
batch = result.read_arrow_batch()
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