FSMBench/fsmbench_reborn_subset_864 dataset hosted on Hugging Face and contributed by the HF Datasets community

agents-course/certificates dataset hosted on Hugging Face and contributed by the HF Datasets community

John6666/model-mirror-23 dataset hosted on Hugging Face and contributed by the HF Datasets community

emarro/demo_variant_effect_pathogenic_clinvar_256 dataset hosted on Hugging Face and contributed by the HF Datasets community

agents-course/unit4-students-scores dataset hosted on Hugging Face and contributed by the HF Datasets community

jadechoghari/svla_so101-sim_task4_v3_multiple_real_1 dataset hosted on Hugging Face and contributed by the HF Datasets community

Summer-Project/mirror-data-label-1 dataset hosted on Hugging Face and contributed by the HF Datasets community

John6666/model-mirror-8 dataset hosted on Hugging Face and contributed by the HF Datasets community

John6666/model-mirror-16 dataset hosted on Hugging Face and contributed by the HF Datasets community

Japanese Expressions Dataset from Human Rights Infringement on Internet

DeviantArt Like>=2k Captioned Full Dataset

This is the full dataset of DeviantArt dataset, which like count no less than 2k. And all the original images are maintained here. Thanks to the contribution of a certain third-party data provider who wishes to remain anonymous.

  Information





  Images

There are 7930631 images in total. The maximum ID of these images is 7932093. Last updated at 2024-11-03 14:16:47 UTC. These are the information of recent 50 images:

id… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/deviantart_gt2likes_captioned_8m_full.

sonalsannigrahi/alm-bench-mcq-subset dataset hosted on Hugging Face and contributed by the HF Datasets community

mlfoundations-dev/nemo_nano-mirror dataset hosted on Hugging Face and contributed by the HF Datasets community

🤗 Huggingface User and Organizations Dataset

🗒️ This dataset contains usernames and organization names in a TXT file. ⌛ This dataset is automatically updated using GitHub Actions.

Dataset Card for Dataset Name

US-1M establishes a new benchmark in medical imaging research, comprising 1.28 million rigorously annotated ultrasound images with precise anatomical structure delineations and comprehensive demographic metadata This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

  Uses







  Dataset Structure

Reddit Mostly-Humans Full Dataset

This is the full dataset of reddit_mostlyhumans dataset. And all the original images are maintained here. Thanks to the contribution of a certain third-party data provider who wishes to remain anonymous.

  Information





  Images

There are 3863451 images in total. The maximum ID of these images is 3863571. Last updated at 2024-10-26 17:18:31 UTC. These are the information of recent 50 images:

id filename width height mimetype… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/reddit_mostlyhumans_full.

More info: https://github.com/songlab-cal/gpn

NOTES FOR DOWNLOAD!

Highly recommend downloading it via the API:

curl -X GET
"https://datasets-server.huggingface.co/first-rows?dataset=unimelb-nlp%2FMulti-EuP&config=default&split=full"

If you are using the HuggingFace library, please follow these steps:

pip install datasets

from datasets import load_dataset

dataset = load_dataset("unimelb-nlp/Multi-EuP", keep_default_na=False)

Note: It's crucial to use keep_default_na=False because some datasets contain 'null'… See the full description on the dataset page: https://huggingface.co/datasets/unimelb-nlp/Multi-EuP.

John6666/model-mirror-22 dataset hosted on Hugging Face and contributed by the HF Datasets community

The DreamBooth dataset is a collection of images used for fine-tuning text-to-image diffusion models for subject-driven generation¹. Here are some key details about the dataset:

The dataset includes 30 subjects from 15 different classes¹. Among these subjects, 9 are live subjects (such as dogs and cats) and 21 are objects¹. The dataset contains a variable number of images per subject, typically between 4 to 6 images¹. Images of the subjects are usually captured in different conditions, environments, and under different angles¹. The dataset also includes a file prompts_and_classes.txt which contains all of the prompts used in the paper for live subjects and objects, as well as the class name used for the subjects¹. The images have either been captured by the paper authors or sourced from www.unsplash.com¹. The references_and_licenses.txt file contains a list of all the reference links to the images in www.unsplash.com, along with the attribution to the photographer and the license of the image¹.

This dataset is part of the official repository for the Google paper "DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation"¹. If you use this work, please cite the paper¹. Please note that this is not an officially supported Google product¹.

(1) GitHub - google/dreambooth. https://github.com/google/dreambooth. (2) DreamBooth - Hugging Face. https://huggingface.co/docs/diffusers/training/dreambooth. (3) google/dreambooth · Datasets at Hugging Face. https://huggingface.co/datasets/google/dreambooth. (4) dreambooth: Mirror of https://huggingface.co/datasets/google .... https://gitee.com/hf-datasets/dreambooth. (5) undefined. https://github.com/huggingface/diffusers. (6) undefined. https://huggingface.co/datasets/google.