datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
bigym-all-tasks-3dgs-one-success
BiGym 全任务 3DGS 厨房壳 单成功轨迹集
发布状态：40/40 技术验证通过，视觉抽检通过；仓库保持，等待上游数据/壳资产再分发条款复核。
预览视频：previews/collection-preview.mp4
核心结果
官方 BiGym 任务：40/40
唯一任务：40
保存的 reward=1 episode：40
丢弃的 reward=0 候选：61（未进入成功 Parquet）
Transition / 每相机帧数：14,806 / 14,806
三相机 H.264 文件：120
相机：head 848×480、left wrist 640×480、right wrist 640×480，20 FPS
数据布局
reach/：3 个任务
long_horizon/：3 个任务
dishwasher/：10 个任务
tabletop/：24 个任务
task-manifest.csv：任务、demo UUID、seed、帧数、reward、动作哈希… See the full description on the dataset page: https://huggingface.co/datasets/eustance/bigym-all-tasks-3dgs-one-success.rr_three_tasks_v1
rr_three_tasks_v1
Three tasks on a Trossen AI solo arm, merged into one LeRobot v2.1 dataset.
task
episodes
frames
pick_specific_item_from_clutter
243
59088
pick_two_in_order
99
40478
open_pot_and_place
100
47288
meta/sources.jsonl maps every episode to its source dataset, episode and revision, with the
staging record (open_pot_and_place variant, pick_two second object, sheet row).
Held-out evaluation episodes
meta/eval_episodes_v1.json: 44… See the full description on the dataset page: https://huggingface.co/datasets/k1seul/rr_three_tasks_v1.pi05-libero-goal-task-8-evidence
Robium Pi0.5 LIBERO-Goal Task 8 evidence
This is the public evidence bundle for Robium issue #69. It records one fixed,
no-retry evaluation of lerobot/pi05_libero_finetuned_v044 on LIBERO-Goal task
8, put_the_bowl_on_the_plate, using the canonical prompt “put the bowl on the
plate.”
Result
20/20 successful episodes; the predeclared target was 16/20.
Fixed initial states 0–19 map to seeds 1000–1019.
Batch size 1, hard environment/policy reset before every episode… See the full description on the dataset page: https://huggingface.co/datasets/robium/pi05-libero-goal-task-8-evidence.piper_task_v5_clean_sg
Piper Task v5 — lerobot-cleaner + per-episode SG
Derived from DCC1015/piper_task_v4 using Escapist-coder/lerobot_cleaner plus a per-episode SciPy Savitzky–Golay rule inserted before final reindexing and statistics.
Processing
R1 timestamp/alignment validation;
R2 leading/trailing static-frame trim (trim_edges, threshold 0.002);
R3 binarization of state.gripper only at threshold 50.0;
R4 enabled with no ROI configured (no spatial crop);
R5 minimum episode length… See the full description on the dataset page: https://huggingface.co/datasets/yudanzi/piper_task_v5_clean_sg.fa-ds-b1k-task01-filtered-recovery-audited-4739b3054a80-caecf22e676d
ds-b1k-task01-filtered-recovery-audited-4739b3054a80
Private fleet archive. Canonical recipe: evaluations/2026-09-22_b1k_task01_three_source_distribution_eai
Tier: historical audit input reference; consumed subset fingerprinted
Use the exact recorded revision and verify SHA256SUMS. This package is a snapshot, not a live directory mirror.