Melmaphother/Agent-R1-data

Agent-R1 Data Preprocessed datasets and runtime artifacts for reproducing the agentic reinforcement learning experiments in Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning. These files cover the main benchmarks used in the Agent-R1 paper and codebase: ALFWorld, WebShop (full), HotpotQA, Paper Search (PaSa), and cross-corpus retrieval corpora (HotpotQA, 2WikiMultiHopQA, MuSiQue). Total size: ~19 GB (compressed where noted). Repository… See the full description on the dataset page: https://huggingface.co/datasets/Melmaphother/Agent-R1-data.

<iframe src="https://silytics.si/embed/item/e1ebd852-c4e3-4a88-bcd7-256124804f25" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.