LARK-Lab/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… See the full description on the dataset page: https://huggingface.co/datasets/LARK-Lab/EnvFactory-SFT-FILTERED.
| Author / organization | LARK-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 125 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 May 2026 |
| Last updated at source | 20 May 2026 |
Popularity, last 2 days
125 now (-6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/EnvFactory-4B-GGUFModel · used to train
- EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RLPaper · cites
- mradermacher/EnvFactory-8B-i1-GGUFModel · used to train
- mradermacher/EnvFactory-8B-GGUFModel · used to train
Recent changes
- 17 Oct 2026 Description: 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 Env → 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 Env
Changes detected by Silytics between refreshes of the source.
Related papers
More from LARK-Lab
- LARK-Lab/EnvFactory-RLDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.