datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
EnvFactory-SFT-FILTERED
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
## Overview
EnvFactory-SFT-FILTERED is a filtered supervised fine-tuning (SFT) dataset containing 53,400 tool-use trajectories synthesized using the EnvFactory framework. This dataset is designed for SFT training of tool-use agents.
The dataset contains high-quality multi-turn tool-use trajectories with implicit human reasoning, generated through… See the full description on the dataset page: https://huggingface.co/datasets/LARK-Lab/EnvFactory-SFT-FILTERED.EnvFactory-RL
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
## Overview
EnvFactory-RL is a reinforcement learning dataset containing 3,090 tool-use trajectories synthesized using the EnvFactory framework. This dataset is designed for training tool-use agents via Agentic Reinforcement Learning (Agentic RL).
The dataset contains multi-turn tool-use trajectories with implicit human reasoning, generated through… See the full description on the dataset page: https://huggingface.co/datasets/LARK-Lab/EnvFactory-RL.EnvFactory-SFT-ALL
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL
## Overview
EnvFactory-SFT-ALL is the complete supervised fine-tuning (SFT) dataset containing 26,500 tool-use trajectories synthesized using the EnvFactory framework. This dataset includes all generated trajectories before filtering.
The dataset contains multi-turn tool-use trajectories with implicit human reasoning, generated through… See the full description on the dataset page: https://huggingface.co/datasets/LARK-Lab/EnvFactory-SFT-ALL.