debugdll/DataCat1k

1---2license: other3tags:4- image-classification5- text-to-image6- diffusers7pretty_name: CatDataset1k8language:9- en10---11# CatDataset1k12 13Dataset of **1000 images of cats** (domestic cats, `Felis catus`) for training models,14experiments and fine-tuning (image generation, classification, etc.).15 16- Query: `cat`17- Caption / label for every image: `cat`18- Files: `cat_0000.jpg` ... `cat_0999.jpg` (JPEG)19- Sources: Wikimedia Commons + Flickr (via Openverse), open licenses20 21## How to download / use22 23### 1. Load directly with the datasets library (recommended)24 25```python26from datasets import load_dataset27 28ds = load_dataset("debugdll/DataCat1k")29# ds["train"][0]["image"]  -> PIL image30# ds["train"][0]["text"]   -> "cat"31```32 33No token required — the dataset is public. Total size ~ a few hundred MB.34 35Streaming (no full download, images loaded on demand):36 37```python38ds = load_dataset("debugdll/DataCat1k", streaming=True)39row = next(iter(ds["train"]))40```41 42### 2. Download the files with the CLI43 44```bash45pip install huggingface_hub46huggingface-cli download debugdll/DataCat1k47```48 49### 3. Download with git50 51```bash52git clone https://huggingface.co/datasets/debugdll/DataCat1k53```54 55### 4. Download individual images (browser / direct link)56 57```58https://huggingface.co/datasets/debugdll/DataCat1k/resolve/main/cat_0000.jpg59```60 61Change the filename `cat_0000.jpg` in the link to get any other image.62 63## Format64 65- `metadata.csv` — columns `file_name,text`66- The CSV + images use the standard Hugging Face `imagefolder` layout,67  so `load_dataset("debugdll/DataCat1k")` is inferred automatically.68 69## Training usage (diffusers LoRA / text-to-image)70 71```python72from datasets import load_dataset73 74ds = load_dataset("debugdll/DataCat1k", split="train")  # column: image, text="cat"75```76 77## Notes78 79- Caption for every image: `cat`80- All images are public-domain / openly licensed photos