datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SANA-WM-Bench
SANA-WM-Bench
Minimal 80-scene, 60s SANA-WM benchmark release. It contains the 80 conditioning images, fixed public scene set, simple/hard 60s Sana-WM camera trajectories. Scene IDs are anonymized within each category as 001-020. It intentionally excludes 24s settings, non-Sana-WM export formats, baseline outputs, and generated videos.
Image Provenance
All conditioning images in images/ are AI-generated using Google's Nano Banana
(Gemini native image generation).… See the full description on the dataset page: https://huggingface.co/datasets/Efficient-Large-Model/SANA-WM-Bench.sanad_experimentsmario360PHTD
PHTD Line-Level Dataset (Cleaned and Split Version)
Important: I am not the creator or copyright holder of the original PHTD dataset.The underlying handwritten Persian page images and pixel-level masks were introduced in the following works:
**Alaei et al., “A New Dataset of Persian Handwritten Documents and Its Segmentation,” **
**Alaei, Pal & Nagabhushan, “Dataset and ground truth for handwritten text in four different scripts,” **
This repository provides a processed… See the full description on the dataset page: https://huggingface.co/datasets/sana-ngu/PHTD.exampledog-breed-cnn-based-classificationAmazon-Reviews-DatasetThis dataset provides a free trial sample of best-selling products and their customer reviews from a leading e-commerce platform, designed to support product intelligence, sentiment analysis, and market trend evaluation. This sample is provided for evaluation purposes only. It includes a curated subset of the full dataset.
To access the complete dataset, request additional attributes, or explore alternative product segments, please contact the data provider directly.
Key Features
2… See the full description on the dataset page: https://huggingface.co/datasets/Sana14USA/Amazon-Reviews-Dataset.Sanasanad_experimentssana_samples_1-4k
1k, 2k, 4k images generated with NVIDIA's Sana
num_inference_steps=20, guidance_scale=5.0, seed=42
Prompts taken from Falah/image_generation_prompts_SDXL and suvadityamuk/image-generation-prompts
Reproduce
!pip install git+https://github.com/huggingface/diffusers
!pip install transformers accelerate datasets
import torch, gc, time
from datasets import load_dataset, Image, Dataset
from diffusers import DiffusionPipeline
from tqdm import tqdm
def clear_cache():
if… See the full description on the dataset page: https://huggingface.co/datasets/g-ronimo/sana_samples_1-4k.synthetic-sana2elevate-emotion-dataset