Search is not available for this dataset
action list | observation.state list | timestamp float32 0 38.8 | frame_index int64 0 1.16k | episode_index int64 0 1.2k | index int64 0 264k | task_index int64 0 0 |
|---|---|---|---|---|---|---|
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End of preview. Expand in Data Studio
task10_move_to_beaker_shelf_gist_0804
GIST AI Lab이 수집한 11스테이지 실험실 프로토콜 데이터 중 stage 10 입니다.
kiroaiseoul 네이밍(task10_move_to_beaker_shelf)에 맞춰 재배포한 사본이고, 원본 배포명은 task10-move-to-beaker-storage-shelf_0804 입니다.
이 스테이지는 GIST가 원본과
_0804재수집본을 둘 다 배포했다. 이쪽이 0804 재수집본이고, 원본은kiroaiseoul/task10_move_to_beaker_shelf_gist에 있다.
- Task: "Move from the fridge to face the beaker storage shelf"
- Episodes: 1,205 / Frames: 264,390
- FPS: 30 · robot_type: mobileai_robot · codebase_version: v3.0
- Cameras: cam_high, cam_left_wrist, cam_right_wrist (480x640x3, h264)
- action / observation.state: 16D (Mobile AI — base 2 + left 7 + right 7)
labels.csv
원본 배포에 동봉돼 있던 에피소드 단위 라벨이다. LeRobot 표준 파일이 아니라 repo 루트에 따로 둔다.
컬럼은 episode_id, task_scenario, success, data_issue.
| episodes | |
|---|---|
| 전체 | 1,205 |
success == 1 |
1,205 |
data_issue 있음 |
0 |
학습 권장 (success == 1 & data_issue 없음) |
1,205 |
data_issue 는 전 스테이지 통틀어 mobile_base_not_captured 한 종류뿐이다 — 모바일 베이스
상태가 고정값으로 기록돼 base 2D가 무의미해진 에피소드다. 팔 동작만 쓰는 경우엔 문제가 없지만
base를 학습에 넣는다면 걸러야 한다.
import pandas as pd
lab = pd.read_csv("labels.csv")
keep = lab[(lab.success == 1) & (lab.data_issue.isna())]
episodes = sorted(int(e.removeprefix("ep_")) for e in keep.episode_id)
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