Supervised fine-tuning data for reproducing Agent Learning via Early Experience across 8 agent environments. Each environment provides data for three training paradigms:

IL — Imitation Learning: expert SR — Self-Reflection: expert + reflection IWM — Implicit World Modeling: iwm (world model) → expert

Code: OSU-NLP-Group/EarlyExperience

from datasets import load_dataset