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README.md

@@ -1,23 +1,55 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: file
-    dtype: image
-  - name: file_name
-    dtype: string
-  - name: animated
-    dtype: bool
-  splits:
-  - name: train
-    num_bytes: 19269644.0
-    num_examples: 55
-  download_size: 19271642
-  dataset_size: 19269644.0
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- image-to-text
+- text-to-image
+language:
+- en
+size_categories:
+- n<1K
 ---
+
+# Cat Memes Dataset
+
+A collection of famous cat memes and their metadata.
+
+## Dataset Description
+
+This dataset contains various cat memes with their associated metadata including:
+- Image files
+- Meme IDs
+- Animation status (GIF vs static images)
+
+### Dataset Structure
+
+- `id`: Unique identifier for each meme
+- `file`: The image file
+- `file_name`: Original filename
+- `animated`: Boolean indicating if the image is animated (GIF)
+
+### Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("pielet/cat-memes", split="train")
+
+# Access an image
+sample = dataset[0]
+image = sample['file']
+print(f"Meme ID: {sample['id']}")
+print(f"Animated: {sample['animated']}")
+```
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{cat_memes_2025,
+  title={Cat Memes Dataset},
+  author={pielet},
+  year={2025},
+  url={https://huggingface.co/datasets/pielet/cat-memes}
+}