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The JWT signature verification failed. Check the signing key and the algorithm.
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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Python Copilot Large Coding Dataset

This dataset is a subset of the matlok python copilot datasets. Please refer to the Multimodal Python Copilot Training Overview for more details on how to use this dataset.

Details

Each row contains python code, either a class method or a global function, imported modules, base classes (if any), exceptions (ordered based off the code), returns (ordered based off the code), arguments (ordered based off the code), and more.

  • Rows: 2350782
  • Size: 3.1 GB
  • Data type: text
  • Format: Extracted code using python AST

Schema

{
    "args": "string",
    "class_bases": "string",
    "class_docstr": "string",
    "class_docstr_tok": "string",
    "class_name": "string",
    "code": "string",
    "code_tok": "string",
    "docstr": "string",
    "docstr_tok": "string",
    "file_path": "string",
    "filename": "string",
    "imports": "string",
    "is_member": "bool",
    "label_desc": "string",
    "label_desc_len": "int64",
    "label_id": "string",
    "lend": "int64",
    "lstart": "int64",
    "name": "string",
    "num_all_bases": "float64",
    "num_bases": "float64",
    "num_classes": "float64",
    "num_functions": "int64",
    "num_imports": "int64",
    "num_methods": "float64",
    "raises": "string",
    "returns": "string",
    "total_objects": "int64"
}

How to use the dataset

from datasets import load_dataset

ds = load_dataset("matlok/python-copilot-training-from-many-repos-large", data_dir="files")
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