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Datasets
All datasets matching “poolside”patchrecoverygym-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.protein-ligand-design
🧪 Protein-Ligand Design Gym — Team JAMMY
poolside Laguna Hackathon submission. A tool-use reinforcement-learning
environment that teaches an LLM to reason like a bench computational chemist /
protein engineer — by measuring, not guessing.
The problem
Proteins are the molecular machines inside living cells, each built from a long
string of amino-acid "letters". Ligands are the small molecules — most drugs
among them — that bind to a protein to switch it on or… See the full description on the dataset page: https://huggingface.co/datasets/poolside-laguna-hackathon/protein-ligand-design.Piscina-XS.2-evalprocessrl-terminal-environments
ProcessRL Terminal Environments
ProcessRL is a collection of behavior-conditioned terminal environments for training and evaluating agent process control. The tasks are designed around failures that appear in interactive terminal work: stopping after a misleading successful command, repeating an unproductive action, failing to pivot after a dead end, losing track of migrated state, and leaving partial progress unfinished.
This release contains the first public train/heldout… See the full description on the dataset page: https://huggingface.co/datasets/poolside-laguna-hackathon/processrl-terminal-environments.toolathlon-dense-rewardslaguna-xs2-synthetic-training-data
Laguna XS.2 Synthetic Training Data
Synthetic training data generated for improving poolside/Laguna-XS.2 on coding and scientific reasoning tasks. Produced as part of the Poolside Research Hackathon (May 2026).
Contents
coding/ - SWE-bench Coding Trajectories
Teacher model: Qwen3.6-35B-A3B
Source dataset: SWE-bench
Format: JSONL, each entry contains problem, teacher solution patch, score
Use case: SFT or GRPO training to improve Laguna XS.2 on… See the full description on the dataset page: https://huggingface.co/datasets/poolside-laguna-hackathon/laguna-xs2-synthetic-training-data.