Datasets:
chore: normalize tsfile dataset metadata
Browse files
README.md
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---
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license: apache-2.0
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task_categories:
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- robotics
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tags:
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- robotis
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- LeRobot
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- omx_f
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- timeseries
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- tsfile
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modality:
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- timeseries
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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/quvi_train.tsfile
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size_categories:
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- 10K<n<100K
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---
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# QUVI
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Converted from [`seongjun-k/QUVI`](https://huggingface.co/datasets/seongjun-k/QUVI), a LeRobot v2.1 robot dataset created with [Physical AI Tools](https://github.com/ROBOTIS-GIT/physical_ai_tools) and [LeRobot](https://github.com/huggingface/lerobot).
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## Source Dataset
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- Original dataset: [`seongjun-k/QUVI`](https://huggingface.co/datasets/seongjun-k/QUVI)
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- License: `apache-2.0`
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- Task category: robotics
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- Robot type: `omx_f`
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- Task: `pick` (`task_index=0`)
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- Source scale: 95 episodes, 14,263 frames, 95 videos, 30 fps
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- LeRobot codebase version: `v2.1`
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- Modalities: Time-series
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## Converted Files
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- TsFile table: `quvi_train`
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- TsFile path: `data/quvi_train.tsfile`
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- Rows: 14,263
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- Episode coverage: episode indexes `0..94`
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- Metadata: source `meta/` is mirrored in this repository, with `meta/info.json` updated to describe the converted TsFile artifact.
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## TsFile Schema
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- `Time`: integer milliseconds, computed as `round(timestamp * 1000)`.
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- TAG columns: `episode_index`, `task_index`.
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- FIELD columns: `frame_index`, `sample_index`, `observation_state_0..5`, `action_0..5`.
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- Source `index` is renamed to `sample_index`.
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- Source `observation.state[6]` is flattened to `observation_state_0..5`.
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- Source `action[6]` is flattened to `action_0..5`.
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## Conversion Notes
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The source `timestamp` column is not kept as a separate field because it is represented by `Time / 1000` seconds after conversion. The source video feature `observation.images.camera1` is not converted to TsFile and videos are not uploaded here; use the original dataset video tree at [`seongjun-k/QUVI/videos`](https://huggingface.co/datasets/seongjun-k/QUVI/tree/main/videos).
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The original `meta/info.json` reports `splits.train` as `0:94`, but `meta/episodes.jsonl` contains episode indexes `0..94` and their lengths sum to `total_frames=14263`. This conversion includes all 95 numeric episode parquet files and records the converted train split as `0:95`.
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## Minimal Read Example
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```python
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# Read data/quvi_train.tsfile with the Apache TsFile Java or Python SDK.
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# Table name: quvi_train
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```
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