Update README.md

README.md

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----
-license: mit
-dataset_info:
-  features:
-  - name: guide_id
-    dtype: int64
-  - name: task_title
-    dtype: string
-  - name: device_name
-    dtype: string
-  - name: difficulty
-    dtype: string
-  - name: tools
-    list: string
-  - name: time_required_min
-    dtype: int64
-  - name: time_required_max
-    dtype: int64
-  - name: image_path
-    dtype: image
-  - name: text
-    dtype: string
-  - name: type
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 109480125.978
-    num_examples: 4649
-  download_size: 102506652
-  dataset_size: 109480125.978
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: mit
+dataset_info:
+  features:
+  - name: image_path
+    dtype: image
+  - name: text
+    dtype: string
+  - name: task_title
+    dtype: string
+  - name: device_name
+    dtype: string
+  - name: difficulty
+    dtype: string
+  - name: tools
+    list: string
+  - name: time_required_min
+    dtype: int64
+  - name: time_required_max
+    dtype: int64
+  - name: guide_id
+    dtype: int64
+  - name: type
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 109480125.978
+    num_examples: 4649
+  download_size: 102506652
+  dataset_size: 109480125.978
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+
+#  Electronics Repair Dataset
+
+**A comprehensive mini dataset covering smartwatch and other wearable repair and teardown procedures.**
+
+![Dataset Preview](https://img.shields.io/badge/Examples-4,649-blue) ![Images](https://img.shields.io/badge/Images-4,649-green) ![Categories](https://img.shields.io/badge/Categories-3-orange)
+
+##  Dataset Overview
+
+This dataset contains **4,649 carefully examples** 
+
+##  Dataset Structure
+
+Each example contains rich metadata and high-quality repair images:
+
+```python
+{
+    'guide_id': 37170,
+    'task_title': 'Microsoft Band Wrist Clasp Replacement',
+    'device_name': 'Microsoft Band', 
+    'difficulty': 'Easy',
+    'tools': ['T3 Torx Screwdriver'],
+    'time_required_min': 300,
+    'time_required_max': 600,
+    'image_path': <PIL.Image(512, 512)>,  # High-quality repair image
+    'text': 'This is a Microsoft Band Wrist Clasp Replacement guide...',
+    'type': 'guide_overview'  # or 'step_instruction', 'teardown_analysis'
+}
+```
+
+## Quick Start
+
+```python
+from datasets import load_dataset
+
+# Load the complete dataset
+dataset = load_dataset("ankithreddy/repairdataset-mini")
+
+# Access examples
+example = dataset['train'][0]
+image = example['image_path']  # PIL Image object
+instruction = example['text']  # Repair instruction text
+device = example['device_name']  # Target device
+
+# Filter by category
+repair_guides = dataset['train'].filter(lambda x: x['type'] == 'guide_overview')
+teardowns = dataset['train'].filter(lambda x: x['type'] == 'teardown_analysis')
+steps = dataset['train'].filter(lambda x: x['type'] == 'step_instruction')
+```
+
+This dataset was created using publicly available data from here https://www.ifixit.com/api/2.0/doc for research and educational purposes only. All data belongs to iFixit and respective contributors