AI Dataset2026
Provides 16 weeks of anonymized production agent-session traces (12,002 sessions, ~1.19M LLM requests, ~1.21M tool calls, 209B input tokens) released as block-level prefix IDs plus flattened Parquet tables for KV-cache, scheduling and serving-system research.
AI Agent Papers2026
Iteratively refines agent-generated games using a closed loop of Designer, Builder, Coding‑Native Player, and Experience‑Oriented Reviewer — collects programmatic gameplay trajectories and trajectory+visual evaluations to evolve prototypes into player-focused, product-level games; shows measurable gains on GameCraft-Bench and GameASG-Bench.
AI Dataset2026
Provides 369 Harbor sandbox tasks ported from OpenAI's openai/math: each task is a Lean theorem with missing `sorry` proofs that an agent must complete, graded by a strict Comparator exact-match verifier. Includes task definitions, generator, and manifest for RL/code-agent evaluation.
AI Agent Papers2026
Chengyi Yang, Renxu Bao +11Affiliation: Xiamen University, Affiliation: Washington University in St. Louis +2
Converts real repositories into verifiable, sandboxed training environments with black-box tests to train coding agents on long-horizon program reproduction. Provides Program-Env for automated environment construction and Program-Agent for a role-isolated development workflow, yielding 1,648 C/C++/Go/Rust tasks and improving benchmark performance.