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Datasets
All datasets matching “pixel”pixelprose_commonpool
Pixelprose-commonpool used in MoCa Continual Pre-training
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Introduction
This is a interleaved multimodal pre-training dataset used in the modality-aware continual pre-training of MoCa models. It is adapted from the commonpool split of
Pixelprose by concatenating VLM captions generated by Gemini and the oringal images.
The dataset consists of interleaved multimodal examples. text… See the full description on the dataset page: https://huggingface.co/datasets/moca-embed/pixelprose_commonpool.pixelprose-shards
PixelProse Sharding Tars
arXiv | public-released version: pixelprose | JSON-only version: pixelprose-jsons
summary
Each tar file is approximately 500-600 MB, friendly for fast on-the-fly sampling, filtering, and loading in dataloaders.
Each tar file contains triplets of images, text, and JSON files. The *.txt files contain the raw original captions, while the *.json files include all the relevant information.
Due to Gemini-1.0 internal version changes during the… See the full description on the dataset page: https://huggingface.co/datasets/pixelprose/pixelprose-shards.re10k_pixelsplatPixelsPointsPolygonsThe P3 dataset is a large-scale multimodal benchmark for building vectorization, constructed from aerial LiDAR point clouds, high-resolution aerial imagery, and vectorized 2D building outlines, collected across three continents.rendered-wikipedia-english
Dataset Card for Team-PIXEL/rendered-wikipedia-english
Dataset Summary
This dataset contains the full English Wikipedia from February 1, 2018, rendered into images of 16x8464 resolution.
The original text dataset was built from a Wikipedia dump. Each example in the original text dataset contained the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.). Each rendered example contains a subset of one full article.… See the full description on the dataset page: https://huggingface.co/datasets/Team-PIXEL/rendered-wikipedia-english.pixelrag-tiles
PixelRAG tile corpus
Rendered screenshot tiles for PixelRAG, a visual retrieval-augmented-generation system that retrieves over page images instead of parsed text. Each Wikipedia page is rendered to an image and cut into fixed-height tiles; retrieval runs on the tiles directly with a Qwen3-VL embedding model.
This repository holds the full tile corpus that the published FAISS indexes and embeddings were built from, so the whole pipeline (tiles → embeddings → index → search) can… See the full description on the dataset page: https://huggingface.co/datasets/StarTrail-org/pixelrag-tiles.
