Datasets:

wangdai
/

simforge-vacuum-process-anomaly-v015

episode_id stringclasses 72 values	group_id stringclasses 36 values	split stringclasses 1 value	timestamp float64 0 4.78	upstream_vacuum_pa float64 -120 90.6k	upstream_valid float64 1 1	cup_vacuum_pa float64 -120 90.4k	cup_valid float64 1 1	pump_command float64 0 1	lift_command float64 0 1	gripper_position_m float64 0 0.2	gripper_velocity_m_s float64 0 0.63	order_mass_kg float64 0.77 1.58	cup_area_m2 float64 0 0	command_acceleration_m_s2 float64 -4.93 4.87	supervision.anomaly bool 2 classes	supervision.monitor_active bool 2 classes
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0	40	1	80	1	0	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.02	100	1	20	1	0	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.04	50	1	90	1	0	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.06	-10	1	40	1	0	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.08	60	1	100	1	0	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.1	0	1	50	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.12	24,700	1	3,310	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.14	36,970	1	9,710	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.16	44,400	1	16,590	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.18	49,560	1	23,350	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.2	53,760	1	29,460	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.22	57,210	1	35,130	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.24	60,350	1	40,120	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.26	63,010	1	44,710	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.28	65,380	1	48,720	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.3	67,620	1	52,420	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.32	69,500	1	55,630	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.34	71,310	1	58,490	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.36	72,810	1	61,170	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.38	74,270	1	63,460	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.4	75,470	1	65,630	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.42	76,660	1	67,450	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.44	77,600	1	69,200	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.46	78,440	1	70,660	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.48	79,320	1	72,080	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.5	79,980	1	73,230	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.52	80,690	1	74,260	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.54	81,220	1	75,300	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.56	81,800	1	76,110	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.58	82,210	1	76,960	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.6	82,700	1	77,600	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.62	83,010	1	78,300	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.64	83,410	1	78,800	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.66	83,660	1	79,370	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.68	83,870	1	79,770	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.7	84,180	1	80,240	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.72	84,330	1	80,540	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.74	84,590	1	80,810	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.76	84,710	1	81,170	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.78	84,930	1	81,370	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.8	85,020	1	81,670	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.82	85,210	1	81,820	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.84	85,260	1	82,080	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.86	85,430	1	82,190	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.88	85,460	1	82,410	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.9	85,490	1	82,490	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.92	85,630	1	82,670	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.94	85,630	1	82,720	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.96	85,760	1	82,770	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	0.98	85,760	1	82,920	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1	85,870	1	82,940	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.02	85,850	1	83,080	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.04	85,960	1	83,080	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.06	85,940	1	83,210	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.08	85,910	1	83,200	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.1	86,010	1	83,310	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.12	85,970	1	83,300	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.14	86,060	1	83,280	1	1	0	0	0	0.801631	0.000243	0	false	false
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.16	86,030	1	83,380	1	1	1	0.000023	0.00467	0.801631	0.000243	0.466655	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.18	86,110	1	83,350	1	1	1	0.00021	0.013967	0.801631	0.000243	0.462298	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.2	86,070	1	83,440	1	1	1	0.000581	0.023133	0.801631	0.000243	0.453624	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.22	86,150	1	83,410	1	1	1	0.001134	0.032084	0.801631	0.000243	0.440715	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.24	86,110	1	83,500	1	1	1	0.001863	0.040734	0.801631	0.000243	0.423692	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.26	86,190	1	83,460	1	1	1	0.002761	0.049005	0.801631	0.000243	0.402712	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.28	86,140	1	83,550	1	1	1	0.00382	0.056818	0.801631	0.000243	0.377973	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.3	86,090	1	83,510	1	1	1	0.00503	0.0641	0.801631	0.000243	0.349704	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.32	86,170	1	83,590	1	1	1	0.00638	0.070784	0.801631	0.000243	0.318171	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.34	86,120	1	83,540	1	1	1	0.007857	0.076807	0.801631	0.000243	0.283666	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.36	86,190	1	83,500	1	1	1	0.009447	0.082113	0.801631	0.000243	0.246514	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.38	86,140	1	83,580	1	1	1	0.011136	0.086653	0.801631	0.000243	0.207059	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.4	86,220	1	83,530	1	1	1	0.012908	0.090383	0.801631	0.000243	0.165671	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.42	86,170	1	83,600	1	1	1	0.014746	0.093269	0.801631	0.000243	0.122737	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.44	86,240	1	83,550	1	1	1	0.016633	0.095285	0.801631	0.000243	0.078656	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.46	86,190	1	83,630	1	1	1	0.018551	0.09641	0.801631	0.000243	0.033842	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.48	86,260	1	83,580	1	1	1	0.020483	0.096636	0.801631	0.000243	-0.011289	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.5	86,200	1	83,650	1	1	1	0.022411	0.09596	0.801631	0.000243	-0.056315	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.52	86,150	1	83,600	1	1	1	0.024316	0.094387	0.801631	0.000243	-0.100814	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.54	86,220	1	83,670	1	1	1	0.02618	0.091933	0.801631	0.000243	-0.144373	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.56	86,170	1	83,620	1	1	1	0.027987	0.088621	0.801631	0.000243	-0.186583	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.58	86,240	1	83,570	1	1	1	0.02972	0.084482	0.801631	0.000243	-0.227052	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.6	86,180	1	83,640	1	1	1	0.031361	0.079553	0.801631	0.000243	-0.2654	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.62	86,250	1	83,580	1	1	1	0.032897	0.073882	0.801631	0.000243	-0.30127	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.64	86,200	1	83,650	1	1	1	0.034312	0.067521	0.801631	0.000243	-0.334328	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.66	86,270	1	83,600	1	1	1	0.035593	0.06053	0.801631	0.000243	-0.364264	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.68	86,210	1	83,670	1	1	1	0.036729	0.052973	0.801631	0.000243	-0.390799	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.7	86,160	1	83,620	1	1	1	0.037709	0.044922	0.801631	0.000243	-0.413685	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.72	86,230	1	83,690	1	1	1	0.038523	0.036452	0.801631	0.000243	-0.432709	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.74	86,170	1	83,630	1	1	1	0.039165	0.027641	0.801631	0.000243	-0.447693	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.76	86,240	1	83,580	1	1	1	0.039627	0.018572	0.801631	0.000243	-0.458496	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.78	86,180	1	83,640	1	1	1	0.039907	0.009329	0.801631	0.000243	-0.465019	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.8	86,250	1	83,590	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.82	86,200	1	83,660	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.84	86,270	1	83,600	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.86	86,210	1	83,670	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.88	86,280	1	83,620	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.9	86,220	1	83,690	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.92	86,170	1	83,630	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.94	86,240	1	83,700	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.96	86,180	1	83,640	1	1	1	0.04	0	0.801631	0.000243	0	false	true
8ad57f1ebbad660d24277f91	vacuum-v015-15281000	train	1.98	86,250	1	83,590	1	1	1	0.04	0	0.801631	0.000243	0	false	true

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SimForge Vacuum Process Anomaly v0.15

Synthetic reference dataset / 合成参考数据集。 156 episodes in 78 groups; train/validation/test contain 17280/8640/11520 time-step records. Scenarios: blocked vacuum line, overload, seal leak, and difficult normal operation.

本数据用于仿真方法开发与离线回归评估；不是实际工厂采集数据。A simplified two-chamber, vertical-load reference model without real sensor calibration, camera images, or robot control policies. 真实工位效果、实际硬件安全和客户收益均未验证。 / No real-workcell effectiveness, hardware safety, or customer benefit has been validated.

The frozen baseline detected 24/24 synthetic test events with zero normal false alarms according to evaluation/acceptance.json. This is a small simulation result, not a real-world guarantee. The test set is now public and must not be reused as a fresh blind test after tuning.

Load / 加载

from datasets import load_dataset
data = load_dataset("wangdai/simforge-vacuum-process-anomaly-v015")
print(data["train"][0])

Original JSON records and baseline are under dataset/ and baseline/. To train and evaluate with the included NumPy consumer (Python 3.12):

python sdk/vacuum_consumer_v015.py train --data dataset/development.json --model my_model.json --output my_training.json
python sdk/vacuum_consumer_v015.py evaluate --data dataset/test.json --model my_model.json --output my_evaluation.json

Output paths must not already exist. Inspect the input whitelist in the SDK. supervision.* fields are labels, never model inputs. For v0.16 observation.rule_prediction is a rule output, not a raw sensor input; avoid label or future-information leakage. Keep group boundaries disjoint. See evidence/input-contract.json, evidence/freeze.json, and evaluation/ for scope and recorded testing.

Provenance and licensing / 来源与许可

Source archive simforge-vacuum-process-suite-v0.15.0.zip SHA-256 25e7ab7e360240e0d77b7b16532d8aa552ddf7d44e0575a3625951561119cfd0. Original SimForge data and documentation are CC BY 4.0 (LICENSE-DATA.md); original SimForge code is MIT (LICENSE-CODE.txt). Third-party dependencies retain their own terms; see docs/UPSTREAM.md and docs/upstream-sources.lock.json. No claim of exclusive ownership of third-party material is made.

数据提供方：北京红白伞科技有限公司；联系人：王先生；邮箱：1186868898@qq.com；微信：wangyin2026。欢迎围绕获授权的工位数据、失败场景和独立测试开展合作。 / Contact for authorized workcell-specific collaboration: 1186868898@qq.com (WeChat: wangyin2026).

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