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| task_categories: | |
| - robotics | |
| tags: | |
| - LeRobot | |
| - tsfile | |
| - format:tsfile | |
| - time-series | |
| - timeseries | |
| modality: | |
| - tabular | |
| - timeseries | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/pusht_subtask.tsfile | |
| size_categories: | |
| - 10K<n<100K | |
| # pusht_subtask (TsFile) | |
| Apache TsFile version of [`lerobot/pusht-subtask`](https://huggingface.co/datasets/lerobot/pusht-subtask). | |
| ## Overview | |
| This dataset is a LeRobot v3.0 PushT dataset annotated with subtask labels (`subtask_index`, `task_index_high_level`). | |
| - **Robot:** unknown (pusht) | |
| - **Scale:** 206 episodes, 25,650 frames, 10 fps | |
| - **Split:** train | |
| - **Cameras (not uploaded):** `observation.image` | |
| ## Schema (TsFile structure) | |
| The TsFile table is named `pusht_subtask`. | |
| | Role | Columns | | |
| | --- | --- | | |
| | Time | `Time`, INT64 milliseconds | | |
| | TAG | `episode_index`, `task_index` | | |
| | FIELD | `frame_index`, `sample_index` | | |
| | FIELD | `observation_state_0` … `observation_state_1`, FLOAT | | |
| | FIELD | `action_0` … `action_1`, FLOAT | | |
| | FIELD | `next_reward` | | |
| | FIELD | `next_done` | | |
| | FIELD | `next_success` | | |
| | FIELD | `subtask_index` | | |
| | FIELD | `task_index_high_level` | | |
| Vector columns are flattened into scalar FLOAT measurements (single precision). The source `index` column is retained as `sample_index`. | |
| ## Conversion notes | |
| - `Time = round(timestamp * 1000)` with millisecond precision; time restarts inside each episode, while `episode_index` and `task_index` identify the TsFile device. | |
| - The original `timestamp` field is omitted because it is exactly represented by `Time / 1000`. | |
| - Camera video streams are NOT included in this repository; they remain in the [source videos tree](https://huggingface.co/datasets/lerobot/pusht-subtask/tree/main/videos). | |
| - `meta/` is mirrored from the source. Aside from the redundant `timestamp` column and the excluded videos, no source rows or numeric fields are dropped. | |
| ## Read example | |
| ```python | |
| from tsfile import TsFileReader | |
| with TsFileReader("data/pusht_subtask.tsfile") as reader: | |
| print(reader.get_all_table_schemas()["pusht_subtask"]) | |
| ``` | |
| ## Source & license | |
| - Original dataset: https://huggingface.co/datasets/lerobot/pusht-subtask | |
| - Author: lerobot | |
| - License: not declared by the original dataset; please defer to the original. | |