vinci
Datasets
All datasets matching “vinci”VINCIE-10M
Dataset Card for VINCIE-10M
VINCIE: Unlocking In-context Image Editing from Video
Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang
Dataset Construction Pipeline
Visual Transition Annotation. To describe visual transitions between frames, we use chain-of-thought (CoT) prompting to instruct a VLM to perform visual transition… See the full description on the dataset page: https://huggingface.co/datasets/leigangqu/VINCIE-10M.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 direct… See the full description on the dataset page: https://huggingface.co/datasets/DocTron-Hub/VinciCoder-1.6M-SFT.VinciCoder-42k-RL
VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning
This repository contains the datasets used and generated in the paper VinciCoder: Unifying Multimodal Code Generation via Coarse-to-fine Visual Reinforcement Learning.
The work introduces VinciCoder, a unified multimodal code generation model that addresses the limitations of single-task training paradigms. It proposes a two-stage training framework, beginning with a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/DocTron-Hub/VinciCoder-42k-RL.vincicoder-rl-easyr1
VinciCoder RL EasyR1 Parquet
This dataset contains the reinforcement-learning data used for VinciCoder-style
multimodal code generation training. The files were converted from the original
VinciCoder RL parquet format into an EasyR1-compatible parquet format.
The main change is the image column format. In the original files, the images
column stores image data as a base64 string. In this version, images is stored
as a list of image objects with raw bytes, which matches the format… See the full description on the dataset page: https://huggingface.co/datasets/GaviZhou/vincicoder-rl-easyr1.leonardo_da_vinci_fgo
Dataset of leonardo_da_vinci/レオナルド・ダ・ヴィンチ/莱昂纳多·达·芬奇 (Fate/Grand Order)
This is the dataset of leonardo_da_vinci/レオナルド・ダ・ヴィンチ/莱昂纳多·达·芬奇 (Fate/Grand Order), containing 500 images and their tags.
The core tags of this character are long_hair, brown_hair, blue_eyes, parted_bangs, breasts, small_breasts, which are pruned in this dataset.
Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by DeepGHS Team(huggingface organization).… See the full description on the dataset page: https://huggingface.co/datasets/CyberHarem/leonardo_da_vinci_fgo.ministral-3-benchmark-prompts
Ministral 3 MLX benchmark prompts
This tiny dataset contains the four fixed prompts used by the reproducible
smoke benchmark for the Ministral 3 MLX 4-bit model.
It is a benchmark fixture, not a training or fine-tuning dataset.
Schema
Each JSONL row contains:
id: stable case identifier;
language: prompt language;
prompt: exact input sent to the model;
expected_keywords: lowercase substrings used by the smoke check.
The benchmark uses greedy decoding and checks… See the full description on the dataset page: https://huggingface.co/datasets/vinci00/ministral-3-benchmark-prompts.