datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Llama3-SSL4EO-S12-v1.1-captions
Llama3-SSL4EO-S12-Captions
The captions are aligned with the SSL4EO-S12 v1.1 dataset and were automatically generated using the Llama3-LLaVA-Next-8B model.
Please find more information regarding the generation and evaluation in the Llama3-MS-CLIP paper.
Code: https://github.com/IBM/MS-CLIP
Data Structure
We provide the captions in two versions: As a single compressed Parquet file per split and as CSV files with 256 captions each that match the Zarr Zip files of the… See the full description on the dataset page: https://huggingface.co/datasets/ibm-esa-geospatial/Llama3-SSL4EO-S12-v1.1-captions.character-captions-opusDeduplicated set of character portraits that have been described by Anthropic Claude Opus as characters with stories and visual attributes.
Images obtained from CivitAI by filtering for SD XL-derived models only. Original Stable Diffusion prompt and metadata is also included.
Each image is a portrait, meaning it's taller than it's wider, and has exactly one face in it. Face bounding boxes are provided.
Character-like description for each image is given by Claude Opus. Here is an example:
{… See the full description on the dataset page: https://huggingface.co/datasets/kubernetes-bad/character-captions-opus.florence2-ofa-captions-500
OFA Florence-2 Dataset (500 Samples)
This dataset was generated using microsoft/Florence-2-large on a subset of COCO 2017 Validation images.
It is pre-formatted for OFA Stage-1 fine-tuning (Headerless TSV, URL-safe base64, max 512x512 resolution).
unsafe-safe-captions-3.0
Safety Caption Pairs Deduplicated
Filtered using n-gram and word-diff rules.
Contains only pairs with 1–2 word changes and minimal n-gram overlap.
safety-image-captions-1wikiart_captionswikiart_captionswikiart-blip-captions