Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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Electronics Repair Dataset

A comprehensive mini dataset covering smartwatch and other wearable repair and teardown procedures.

Dataset Overview

This dataset contains 4,649 carefully examples

Dataset Structure

Each example contains rich metadata and high-quality repair images:

{
    '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

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

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