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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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- LeRobot
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- so101
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- tutorial
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- tsfile
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- format:tsfile
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- time-series
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#
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- `
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```
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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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- LeRobot
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- so101
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- tutorial
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- tsfile
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- format:tsfile
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- time-series
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- timeseries
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modality:
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- tabular
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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/so101_test.tsfile
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size_categories:
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- 10K<n<100K
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---
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# so101_test (TsFile)
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Apache TsFile version of [`Jeevesh2009/so101_test`](https://huggingface.co/datasets/Jeevesh2009/so101_test), a LeRobot v2.1 demonstration dataset recorded with an SO-101 arm.
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## Overview
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This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). It records one SO-101 manipulation task with per-frame joint state and action vectors, plus two RealSense camera streams (`realsense1`, `realsense2`).
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- **Robot:** SO-101 (`so101`)
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- **Scale:** 62 episodes, 34,427 frames, 1 task, 30 fps
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- **Split:** train
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## Schema (TsFile structure)
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The TsFile table is named `so101_test`.
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| Role | Columns |
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| --- | --- |
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| Time | `Time`, INT64 milliseconds |
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| TAG | `episode_index`, `task_index` |
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| FIELD | `frame_index`, `sample_index` |
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| FIELD | `action_0` … `action_5`, FLOAT |
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| FIELD | `observation_state_0` … `observation_state_5`, FLOAT |
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The original 6-element `action` and `observation.state` vectors are flattened into scalar FLOAT measurements. The source `index` column is retained as `sample_index`.
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## Conversion notes
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- `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device.
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- The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`.
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- The RealSense camera streams (`observation.images.realsense1`, `realsense2`) are video and are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/Jeevesh2009/so101_test/tree/main/videos).
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- `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped.
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## Read example
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```python
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from tsfile import TsFileReader
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with TsFileReader("data/so101_test.tsfile") as reader:
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print(reader.get_all_table_schemas()["so101_test"])
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```
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## Source & license
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- Original dataset: https://huggingface.co/datasets/Jeevesh2009/so101_test
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- Author: Jeevesh2009
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- License: apache-2.0
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meta/episodes.jsonl
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meta/episodes_stats.jsonl
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