monet jasperai
Dataset Card for MONET MONET (Massive, Open, Non-redundant and Enriched Text-to-image dataset) is a large-scale, curated image-text dataset designed for training text-to-image (T2I) systems. It contains 103.8 million high-quality image-text pairs distilled from 2.9 billion raw pairs across nine heterogeneous open sources (6 real and 3 synthetic) through successive stages of safety filtering, domain-based filtering, exact and near-duplicate removal, and re-captioning with… See the full description on the dataset page: https://huggingface.co/datasets/jasperai/monet.
- 类型
- dataset
- 许可
- apache-2.0
- 语言
- en
- 下载量
- 184,360
- 点赞
- 149
- 访问
- public
- 文件
- 0
标签
- 多模态数据集
- 文生图
- 图像数据集
- 图像特征提取
- 合成数据
- 数据处理
- 计算机视觉
- 零样本学习
摘要
MONET是面向文生图（T2I）训练的大规模图文数据集，包含1.038亿个高质量图文对，从29亿原始数据中经过安全过滤、去重和多重重标注蒸馏而来。每个图像附带CLIP/DINOv2/SSCD预计算嵌入、结构化标注和预编码VAE潜空间，供下游直接使用。适用于文生图预训练、图像检索和零样本图像分类等任务，可降低大规模可复现文生图研究的门槛。
README
--- license: apache-2.0 pretty_name: MONET task_categories: - text-to-image - image-feature-extraction - zero-shot-image-classification language: - en size_categories: - 100M<n<1B tags: - text-to-image - image-text - multimodal - captioning - synthetic-data configs: - config_name: parquet data_file…