JSEF v1.10.0 is out 🎉 A model-agnostic LLM eval toolchain + 20+ new hard vulnerability samples. ✅ Swap any OpenAI/Anthropic-compatible model (GLM-5.3, Mythos, GPT…) ✅ One-click cross-model leaderboard (Recall/Precision/F1/accuracy) ✅ DeepSwe-style trials stability (Pass@1, N-run) ✅ Multi-state gate, JWT 4-step chain, async taint chain Star → #LLMSecurity# #AppSec# #WebSecurity# #JavaSecurity# #VulnerabilityDetection# #AISecurity#

🧵 New repo: Awesome Egocentric Dataset — a curated list of first-person vision datasets, refreshed beyond the classic Ego4D-era list. ✅ Recent 2023–2026 releases (Ego-Exo4D, EgoSchema, AEA, EgoExoLearn, EgoLife…) ✅ Dead/broken links removed, migrated ones fixed ✅ A section on egocentric-driven VLA papers (training source + data-processing), with first-principles + fishbone analysis 🚀 Open-source, contributions welcome. 🔗 #EgocentricVision# #FirstPersonVision# #VLA# #ComputerVision# #Datasets#

灵巧手的数据格式： task_info/task_327.json： { "episode_id": 649078, "task_id": 327, "task_name": "Picking items in Supermarket", "init_scene_text": "The robot is in front of the fruit shelf...", "lable_info": { "action_config": [ {"start_frame": 0, "end_frame": 435, "action_text": "Pick up onion from the shelf.", "skill": "Pick"}, {"start_frame": 435, "end_frame": 619, "action_text": "Place onion into the plastic bag.", "skill": "Place"} ] } } 亮点：指令不是整段一个，而是按帧区间切片 + 原子技能(skill)标签分层标注。 这比我们 language_instruction.json 只标一个 segment 更细——它把"拿起→放下"拆成两个子动作各配指令。 这正是高质量示教数据的做法。

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