DocTron-Hub/VinciCoder-1.6M-SFT
VinciCoder: Unified Multimodal Code Generation Dataset This repository contains the datasets used for VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning, a project that introduces a unified multimodal code generation model. The framework uses a two-stage training approach, comprising a large-scale Supervised Finetuning (SFT) corpus and a Visual Reinforcement Learning (ViRL) dataset. These datasets are designed for tasks involving… See the full description on the dataset page: https://huggingface.co/datasets/DocTron-Hub/VinciCoder-1.6M-SFT.
| Author / organization | DocTron-Hub |
|---|---|
| Downloads | 776 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 4 November 2025 |
| Last updated at source | 5 December 2025 |
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- 16 Oct 2026 Description: VinciCoder: Unified Multimodal Code Generation Dataset This repository contains the datasets used for VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning, a project that introduces a unified mult → VinciCoder: Unified Multimodal Code Generation Dataset This repository contains the datasets used for VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning, a project that introduces a unified mult
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