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ma25
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tp-ont

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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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TP-ONT

Overview

This dataset contains a structured ontology representing AI Task Planning. It is provided in two formats:

JSON-LD: Optimised for use with the Hugging Face datasets library and LLM workflows.
OWL: The original semantic source file for use in OWL-compliant tools like Protégé.

Files

tp-ont.json: The serialized JSON-LD version used for the dataset viewer.
tp-ont.owl: The raw OWL/XML source file.

How to Use

You can load the structured data directly using the Hugging Face library:

from datasets import load_dataset

dataset = load_dataset("ma25/tp-ont")
print(dataset['train'][0])

Maintenance and Source

Authors: Ma'ayan Armony, Albert Meroño-Peñuela, and Gerard Canal (King's College London)
Source: GitHub repository
Version: 1.0.0

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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