Datasets:
my_mixer_dataset
This dataset is a TsFile conversion of the Hugging Face dataset
radiuson/my_mixer_dataset,
which was created using LeRobot.
Modalities: Time-series. The original dataset also contains robot camera videos; those videos are not included in this converted repository and remain available from the original Hugging Face dataset.
Source Dataset
- Original dataset:
radiuson/my_mixer_dataset - License: apache-2.0
- Robot type: SO-100
- Task:
on off mixer - Source format: LeRobot v2.0 episode Parquet files plus metadata and videos
- Source scale: 60 episodes, 41,082 frames, 1 task, 1 data chunk, 240 videos
- Sampling rate: 30 fps
- Split: train (
0:60)
Converted Files
- TsFile data:
data/my_mixer_dataset.tsfile - Mirrored metadata:
meta/ - Table name:
my_mixer_dataset - Time precision: milliseconds
- Converted row count: 41,082
- Source episode shard count: 60 Parquet files
The original source data path is
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet.
The converted TsFile path is data/my_mixer_dataset.tsfile.
Schema
Time is synthesized as round(timestamp * 1000) and restarts within each
episode, matching the source LeRobot timestamp semantics.
TAG columns:
episode_indextask_index
FIELD columns:
frame_indexsample_index(renamed from sourceindex)action_0toaction_6observation_state_0toobservation_state_6
The source motor names for both action and observation.state are:
main_shoulder_panmain_shoulder_liftmain_elbow_flexmain_wrist_flexmain_wrist_rollmain_grippermain_extra_wrist
Conversion Notes
The source action[7] and observation.state[7] vector columns are flattened
into scalar FLOAT fields. Dots in source column names are replaced with
underscores, so observation.state becomes observation_state_0..6.
The source timestamp column is not retained as a separate field because it is
redundant with Time / 1000 seconds. The source index column is renamed to
sample_index.
The source video features are omitted from this repository:
observation.images.laptopobservation.images.phoneobservation.images.Lwebcamobservation.images.macwebcam
Videos remain in the original dataset at: https://huggingface.co/datasets/radiuson/my_mixer_dataset/tree/main/videos
The meta/info.json file is mirrored and updated with a tsfile_conversion
object that records the source dataset, converted data path, table name, time
mapping, TAG columns, flattened features, omitted video features, and row count.
Minimal Read Example
from tsfile import TsFileReader
path = "data/my_mixer_dataset.tsfile"
with TsFileReader(path) as reader:
schemas = reader.get_all_table_schemas()
print(schemas.keys())
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