Model Hub
Browse PQC-verified AI models, datasets, and tools
Picbreeder-VLM Archive Every image evolved by the swarm of vision-language-model "breeders" in In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models (GECCO 2026), together with the CPPN genomes that produced them, the agents' reasoning transcripts, the lineage graphs, and the analysis artifacts behind the paper and blog. The original Picbreeder (Secretan et al., 2008) let crowds of humans collaboratively evolve images from CPPN… See the full description on the dataset page: https://huggingface.co/datasets/picbreeder-vlm/picbreeder-vlm-archive.
Dataset Card for OpenBookQA Dataset Summary OpenBookQA aims to promote research in advanced question-answering, probing a deeper understanding of both the topic (with salient facts summarized as an open book, also provided with the dataset) and the language it is expressed in. In particular, it contains questions that require multi-step reasoning, use of additional common and commonsense knowledge, and rich text comprehension. OpenBookQA is a new kind of… See the full description on the dataset page: https://huggingface.co/datasets/allenai/openbookqa.
Open-AoE — Egocentric Hand Manipulation Dataset Release Roadmap Tier Duration Status nano ~3 h ✅ Released tiny ~100 h ✅ Released full 2000 h 🚧 Uploading (batch4–6 ≈694h ready; see notes) Release notes 2026-07-30: Removed samples flagged in PR #1 for camera-intrinsics vs. video-resolution mismatches. 2026-07-31: Uploaded ~323h of data. 2026-08-12: Uploaded ~694h of data(ms only, waiting for HF storage expansion). Additional… See the full description on the dataset page: https://huggingface.co/datasets/inclusionAI/OpenAoE-2000h.
JAT Dataset Dataset Description The Jack of All Trades (JAT) dataset combines a wide range of individual datasets. It includes expert demonstrations by expert RL agents, image and caption pairs, textual data and more. The JAT dataset is part of the JAT project, which aims to build a multimodal generalist agent. Paper: https://huggingface.co/papers/2402.09844 Usage >>> from datasets import load_dataset >>> dataset = load_dataset("jat-project/jat-dataset"… See the full description on the dataset page: https://huggingface.co/datasets/jat-project/jat-dataset.