datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
movies_CLIP_ViT-L14
🎬 Movie Frame & Caption Dataset
📖 Introduction
This dataset was created from multiple movies across 10 genres, with approximately 3 movies per genre.From each movie, frames were extracted periodically, and AI-generated captions (BLIP) were assigned to each frame.A total of 93,813 frames were extracted.
This dataset can be used for tasks such as:
Video understanding
Multimodal learning (image + text)
Image captioning
Vision-language retrieval
📂 Data… See the full description on the dataset page: https://huggingface.co/datasets/thaotien/movies_CLIP_ViT-L14.index-cards-southborough-vital-records
Southborough Town Clerk — Vital Records & Veteran Index Cards (MA)
8,661 cards from the Southborough (Massachusetts) Town Clerk office, covering:
Death Index Cards, 1850–2015 — the town clerk's running death index covering ~165 years of Southborough deaths, one card per decedent with surname/given-name/date.
Veteran Card Index + Veteran Grave Registration Card Index — companion indices to Southborough's veteran-affairs records, indexing veterans buried in town cemeteries.… See the full description on the dataset page: https://huggingface.co/datasets/biglam/index-cards-southborough-vital-records.coco-clip-vit-l-14
COCO Dataset Processed with CLIP ViT-L/14
Overview
This dataset represents a processed version of the '2017 Unlabeled images' subset of the COCO dataset (COCO Dataset), utilizing the CLIP ViT-L/14 model from OpenAI. The original dataset comprises 123K images, approximately 19GB in size, which have been processed to generate 786-dimensional vectors. These vectors can be utilized for various applications like semantic search systems, image similarity assessments, and more.… See the full description on the dataset page: https://huggingface.co/datasets/s-emanuilov/coco-clip-vit-l-14.galaxy-vit-gz-desi-dirichlet-predictions
Galaxy-ViT — GZ DESI Dirichlet predictions
Per-galaxy Dirichlet-Multinomial concentration parameters (α) for the
10-question / 34-answer Galaxy Zoo DESI decision tree, predicted by a
Zoobot ConvNeXt-nano encoder finetuned with a Dirichlet-Multinomial
head on the DR8 subset of the
mwalmsley/gz_desi_wds
labeled split.
Dataset summary
Rows
61,440
Columns
36 (key, dr8_id, alpha_0 … alpha_33)
Format
Apache Parquet
File size
~16 MB
Source images
DECaLS DR8… See the full description on the dataset page: https://huggingface.co/datasets/roth1414/galaxy-vit-gz-desi-dirichlet-predictions.