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Text · dataset · 2026

osunlp/early-experience

Listed in Hugging Face Datasets

Description

Early Experience — Reproduction Data 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 Usage from datasets import load_dataset # load_dataset("osunlp/early-experience"… See the full description on the dataset page: huggingface.co/datasets/osunlp/early-experience.

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Catalogue records · 1

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Stated by source
reinforcement learning · text
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsosunlp/early-experience8 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:reinforcement-learningsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0