Upload README.md with huggingface_hub

README.md

@@ -1,85 +1,59 @@
 ---
-dataset_info:
-  features:
-  - name: name
-    dtype: string
-  - name: id
-    dtype: int64
-  - name: minutes
-    dtype: int64
-  - name: contributor_id
-    dtype: int64
-  - name: submitted
-    dtype: timestamp[s]
-  - name: tags
-    dtype: string
-  - name: nutrition
-    dtype: string
-  - name: n_steps
-    dtype: int64
-  - name: steps
-    dtype: string
-  - name: description
-    dtype: string
-  - name: ingredients
-    dtype: string
-  - name: n_ingredients
-    dtype: int64
-  - name: random_reviews
-    list: string
-  - name: number_of_ratings
-    dtype: int64
-  - name: metadata
-    struct:
-    - name: recipe_id
-      dtype: int64
-    - name: variant
-      dtype: int64
-    - name: pdf_path
-      dtype: string
-    - name: image_paths
-      list: string
-    - name: layout_spec
-      struct:
-      - name: layout
-        dtype: string
-      - name: palette
-        struct:
-        - name: name
-          dtype: string
-        - name: bg
-          dtype: string
-        - name: accent
-          dtype: string
-        - name: text
-          dtype: string
-      - name: fontset
-        struct:
-        - name: name
-          dtype: string
-        - name: title
-          dtype: string
-        - name: body
-          dtype: string
-      - name: nutrition_viz
-        dtype: string
-      - name: section_order
-        list: string
-      - name: density
-        dtype: string
-      - name: noise
-        dtype: float64
-  - name: image
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 1785694845
-    num_examples: 10096
-  download_size: 2054668564
-  dataset_size: 1785694845
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+  - image-to-text
+  - text-generation
+language:
+  - en
+tags:
+  - recipes
+  - food
+  - multimodal
+  - rag
+size_categories:
+  - 10K<n<100K
 ---
+
+# Recipe PDF Dataset
+
+A multimodal dataset of 10K+ recipes rendered as PDF images with full metadata.
+
+## Dataset Description
+
+Each sample contains:
+- **image**: Recipe rendered as a styled PDF page (PNG, ~1654x2339px)
+- **name**: Recipe title
+- **description**: Recipe description
+- **ingredients**: List of ingredients
+- **steps**: Cooking instructions
+- **nutrition**: Nutritional values (calories, fat%, sugar%, sodium%, protein%, sat.fat%, carbs%)
+- **random_reviews**: User reviews
+- **minutes**: Cooking time
+- **tags**: Recipe categories
+- **n_steps** / **n_ingredients**: Counts
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("your-username/recipe-pdf-dataset")
+sample = dataset["train"][0]
+
+# Access image
+sample["image"].show()
+
+# Access metadata
+print(sample["name"])
+print(sample["ingredients"])
+```
+
+## Source
+
+Generated from [Food.com Recipes](https://www.kaggle.com/datasets/shuyangli94/food-com-recipes-and-user-interactions) using custom PDF rendering with varied layouts, fonts, and color palettes.
+
+## Stats
+
+| Split | Samples |
+|-------|---------|
+| train | 10,096  |