Update README.md. Add schema and usage sections to dataset card.

Fixed markdown formatting and added Intended Uses + Schema sections.

README.md

@@ -2,6 +2,19 @@
 language:
 - en
 pretty_name: Melbourne Cafés & Restaurants (OSM / Overpass)
+task_categories:
+- text-classification
+- feature-extraction
+tags:
+- openstreetmap
+- geospatial
+- hospitality
+- melbourne
+- australia
+- poi
+size_categories:
+- 1K-10K
+license: odbl
 ---
 
 ---
@@ -18,12 +31,28 @@ license: odbl-1.0
 
 ---
 
+---
+
+A curated dataset of 1,896 cafés and restaurants in Melbourne, extracted from OpenStreetMap via the Overpass API and enriched with engineered features for geospatial analysis, zero‑shot classification, and embedding‑based similarity search.
+
 ## Dataset Description
 An open dataset of cafés and restaurants in metropolitan Melbourne collected with the OpenStreetMap Overpass API.  
 The table includes geospatial coordinates, address details, and engineered features for text and vector-search tasks.
 
 ---
 
+---
+
+## Intended Uses
+
+- **Task 1:** Exploratory and geospatial analysis of Melbourne’s café and restaurant landscape.
+- **Task 2:** Zero-shot labeling with pre-trained transformers (e.g., “fine dining”, “family friendly”).
+- **Task 3:** Text embedding generation and FAISS top‑k similarity search for recommendation or retrieval applications.
+
+---
+
+---
+
 ## Collection Parameters
 - **Bounding box:** `south = -38.26`, `north = -37.47`, `west = 144.49`, `east = 145.49`
 - **Queries executed:**  
@@ -41,8 +70,13 @@ The table includes geospatial coordinates, address details, and engineered featu
   relation["amenity"="cafe"](-38.26,144.49,-37.47,145.49);
 );
 out tags center;
+```
+
+---
 
-Data Cleaning & Augmentation
+---
+
+## Data Cleaning & Augmentation
 
 After merging café and restaurant records:
 
@@ -64,8 +98,40 @@ boolean flags: has_wifi, has_outdoor, is_accessible (where inferable)
 
 Validation: simple checks for duplicates, coordinate ranges, and missing essentials.
 
+---
 
-Reliability & Coverage
+---
+
+## Schema
+
+| Field                | Type      | Description |
+|----------------------|-----------|-------------|
+| name                 | string    | Business name |
+| lat, lon             | float     | Coordinates |
+| address              | string    | Street address |
+| cuisine_primary      | string    | Extracted primary cuisine type |
+| has_wifi             | boolean   | Wi-Fi availability |
+| is_accessible        | boolean   | Wheelchair accessibility |
+| outdoor_seating      | boolean   | Outdoor seating availability |
+| distance_to_cbd_km   | float     | Haversine distance to Melbourne CBD |
+| desc                 | string    | Human-readable summary |
+| text                 | string    | Concatenated text used for zero-shot and embeddings |
+
+---
+
+---
+
+## Example Use Cases
+- Recommendation systems
+- Accessibility-aware search
+- RAG chatbot
+- Market analysis
+
+---
+
+---
+
+## Reliability & Coverage
 
 Coverage bias: OSM completeness varies by suburb; some tags (e.g., cuisine, opening_hours) may be missing.
 
@@ -79,19 +145,31 @@ Task 2: Apply a pre-trained Transformer (zero-shot) to label text (e.g., fine di
 
 Task 3: Generate text embeddings and perform FAISS top-k similarity search.
 
-Licence & Attribution
+---
+
+---
+
+## Licence & Attribution
 
 ODbL 1.0 — © OpenStreetMap contributors.
 Attribution and share-alike apply to adapted databases and redistributions.
 See: https://www.openstreetmap.org/copyright
 
-Ethics & Privacy (Australia)
+---
+
+---
+
+## Ethics & Privacy (Australia)
 
 Dataset contains only business locations — no personal or sensitive information.
 Complies with APP 3 (collection), APP 5 (notification), and APP 8 (cross-border disclosure) under the Privacy Act 1988 (Cth).
 Hugging Face hosting occurs outside Australia; attribution, data retention, and provenance are documented in the course report.
 
-Storage & Versioning
+---
+
+---
+
+## Storage & Versioning
 
 Earlier raw/intermediate files (osm_melb_cafes_raw.json, melbourne_cafes_restaurants.csv) were uploaded temporarily for validation and are now archived locally to keep the preview clean.
 Only the canonical file melbourne_cafes_restaurants_clean.csv remains at repo root.
@@ -101,7 +179,20 @@ Load
 from datasets import load_dataset
 ds = load_dataset("CITTYJAMES/melbourne-cafes-restaurants-osm")
 
-Citation
+---
+
+---
+
+## Citation
 
 Gaddi, Heidi (2025). Melbourne Cafés & Restaurants (OpenStreetMap / Overpass).
 Hugging Face Datasets. https://huggingface.co/datasets/CITTYJAMES/melbourne-cafes-restaurants-osm
+
+---
+
+---
+
+## Usage
+```python
+from datasets import load_dataset
+ds = load_dataset("CITTYJAMES/melbourne-cafes-restaurants-osm")