Tstars-VTON is an open evaluation dataset designed to test virtual try-on models under realistic shopping conditions. It contains 1,780 image pairs covering layered clothing, footwear, and accessories across dozens of […]
Dataset
About dataset releases
Browse new open‑source dataset releases for training and fine‑tuning local AI. This archive covers curated collections, benchmark data, and community‑built datasets.
Latest datasets
BCE-Prettybird-Nano-Math-v0.1 Sharpens Logic Skills
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BCE-Prettybird-Nano-Math-v0.1 is a structured collection of 500 math problems and answers built to train language models on numerical reasoning. The dataset links specific prompts with input values and expected results, […]
World Model Bench Tests if AI Can Think Not Just See
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World Model Bench is a new benchmark that tests whether AI world models can actually think about a scene rather than just generate smooth video. It measures cognitive intelligence through […]
Michael Hafftka Catalog Raisonné Chronicles 50 Years of Art
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The Michael Hafftka Catalog Raisonné is a new open dataset containing approximately 3,800 artworks by a single artist spanning five decades. The collection covers work from the 1970s through 2025 […]
MoonshotAI WorldVQA Tests AI Memory
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WorldVQA is a new benchmark designed to test how well AI models can identify and name visual objects from memory. Created by MoonshotAI, it measures factual visual knowledge rather than […]
Nyuuzyou Preserves Google Code Archive
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The Google Code Archive is a massive dataset that preserves source code from the defunct Google Code hosting service. It contains over 65 million files gathered from nearly 500,000 repositories, […]