resolution
definite_pronoun_resolution
Dataset Card for "definite_pronoun_resolution"
Dataset Summary
Composed by 30 students from one of the author's undergraduate classes. These
sentence pairs cover topics ranging from real events (e.g., Iran's plan to
attack the Saudi ambassador to the U.S.) to events/characters in movies (e.g.,
Batman) and purely imaginary situations, largely reflecting the pop culture as
perceived by the American kids born in the early 90s. Each annotated example
spans four lines: the… See the full description on the dataset page: https://huggingface.co/datasets/community-datasets/definite_pronoun_resolution.i1-fluxreason-1024-resolution-1m-tfrecordi1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu
Princeton University
[arXiv][code][model][project page]
Overview
To prepare the dataset for training, we store the image-caption pairs as TFRecords.
This HuggingFace dataset contains the TFRecords corresponding to the fluxreason dataset at 1024×1024 resolution. Concretely, we only retain raw images with a shorter edge of at… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-fluxreason-1024-resolution-1m-tfrecord.i1-imagenet22k-512-resolution-1m-tfrecordi1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu
Princeton University
[arXiv][code][model][project page]
Overview
To prepare the dataset for training, we store the image-caption pairs as TFRecords.
This HuggingFace dataset contains the TFRecords corresponding to the imagenet22k dataset at 512×512 resolution. Concretely, we only retain raw images with a shorter edge of at… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-imagenet22k-512-resolution-1m-tfrecord.i1-pexels-512-resolution-1m-tfrecordi1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu
Princeton University
[arXiv][code][model][project page]
Overview
To prepare the dataset for training, we store the image-caption pairs as TFRecords.
This HuggingFace dataset contains the TFRecords corresponding to the pexels dataset at 512×512 resolution. Concretely, we only retain raw images with a shorter edge of at least… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-pexels-512-resolution-1m-tfrecord.i1-places365-challenge2016-512-resolution-1m-tfrecordi1: A Simple and Fully Open Recipe for Strong Text-to-Image Models
Boya Zeng, Tianze Luo, Shu Pu, Jucheng Shen, Taiming Lu, Gabriel Sarch, Zhuang Liu
Princeton University
[arXiv][code][model][project page]
Overview
To prepare the dataset for training, we store the image-caption pairs as TFRecords.
This HuggingFace dataset contains the TFRecords corresponding to the places365-challenge2016 dataset at 512×512 resolution. Concretely, we only retain raw images with a shorter… See the full description on the dataset page: https://huggingface.co/datasets/i1-datasets/i1-places365-challenge2016-512-resolution-1m-tfrecord.High-Resolution-Rainy-ImageThe High-resolution Rainy Image (HRI) dataset is a synthetic dataset created through a learning-from-rendering approach, detailed in the paper Learning from Rendering: Realistic and Controllable Extreme Rainy Image Synthesis for Autonomous Driving Simulation. Designed for autonomous driving simulation, HRI provides realistic and controllable extreme rainy images to enhance visual perception models. It comprises 3,200 paired rainy-clean images, along with corresponding depth and rain layer mask… See the full description on the dataset page: https://huggingface.co/datasets/Ian824/High-Resolution-Rainy-Image.