hackathon
submissionspatchrecoverygym-laguna
PatchRecoveryGym for Laguna
Submitted by: Kannappan Sirchabesan (@kannappans) · Poolside Research Hackathon (Foundations track)
A reproducible eval + RL environment that tests whether a coding agent can
recover from a wrong first attempt — a real, under-measured agentic-coding
weakness. Built for Poolside Laguna XS.2 on dependency-migration repair tasks.
📦 Installable Verifiers environment on the Prime Hub · 🎯 deterministic hidden-test reward · 🔁 144-candidate reranking… See the full description on the dataset page: https://huggingface.co/datasets/poolside-laguna-hackathon/patchrecoverygym-laguna.huggingface-krew-hackathon2023LiquidAI-Hackathon-Tokyo-CPT-Data
LiquidAI-Hackathon-Tokyo-CPT-Data
Liquid AI Hackathon Tokyoで作成したモデルのCPTに利用したデータセットです。
karate-wiener-animationskicky-ai-spf
FUT-HEROS SPF — COCO instance-segmentation dataset (ball / player / goal)
Auto-labelled football frames (COCO format) for ball/player/goal instance segmentation.
Labels generated by SAM3 + NVIDIA LocateAnything-3B (zero manual annotation), from a
single fixed-camera amateur session. Clip-level, goal-stratified train/valid/test split.
train/, valid/, test/ each have _annotations.coco.json + frames.
Classes: 1 ball, 2 player, 3 goal. Part of the FUT-HEROS project.