pusht_v2_keypoints / README.md
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---
license: apache-2.0
task_categories:
- robotics
tags:
- tsfile
- timeseries
- time-series
- LeRobot
- robotics
pretty_name: pusht_v2_keypoints (TsFile)
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/pusht_v2_keypoints.tsfile
---
# pusht_v2_keypoints (TsFile)
Apache TsFile version of [`cadene/pusht_v2_keypoints`](https://huggingface.co/datasets/cadene/pusht_v2_keypoints).
## Overview
The keypoints variant of the **PushT** benchmark, formatted with
[LeRobot](https://github.com/huggingface/lerobot). A 2D pointer agent pushes a
T-shaped block onto a T-shaped target region. Each frame records the agent state,
the action, the environment keypoint state, and the step reward / success flag.
- **Robot:** `2d pointer` (2D agent).
- **Task:** "Push the T-shaped blue block onto the T-shaped green target surface." (1 task).
- **Scale:** 206 episodes, 25,650 frames, single `train` split.
- **Sampling rate:** 10 fps.
- **Videos:** none — this dataset stores keypoints, not images.
## Schema (TsFile structure)
- **Time** (INT64, milliseconds) — `round(timestamp * 1000)`, restarts per episode.
- **episode_index** (TAG) — episode device dimension; query one episode with
`WHERE episode_index=0`.
- **task_index** (TAG) — task device dimension (single task here).
- **frame_index** (FIELD, INT64) — original per-episode frame counter.
- **sample_index** (FIELD, INT64) — source `index` column, renamed.
- **next_reward** (FIELD, FLOAT) — step reward (source `next.reward`).
- **next_success** (FIELD, BOOLEAN) — step success flag (source `next.success`).
- **observation_state_0..1** (FIELD, FLOAT) — 2D agent position.
- **action_0..1** (FIELD, FLOAT) — 2D action.
- **observation_environment_state_0..15** (FIELD, FLOAT) — the 8 (x, y) keypoints
describing the T block / agent geometry.
Vector columns are flattened by preserving the source name (`.` → `_`) and
appending the element index. The source `timestamp` column is dropped because it
equals `Time ÷ 1000` seconds.
## Usage
Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
## Source & license
- Original dataset: https://huggingface.co/datasets/cadene/pusht_v2_keypoints
- Author / publisher: cadene (LeRobot / Hugging Face)
- Benchmark: PushT — https://diffusion-policy.cs.columbia.edu/
- Created with: [LeRobot](https://github.com/huggingface/lerobot)
- License: apache-2.0