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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Paleography Web Text Triage Dataset

This dataset contains 400 manually labeled Chinese text snippets for an embedding-based text classification task in Ancient Chinese paleography corpus construction.

The task is to classify short web or reference snippets into four categories:

Label	Meaning
`ksd`	Scholarly or explanatory discussion about paleography, oracle bones, bronze inscriptions, excavated texts, or script history.
`kpt`	Primary transcription material such as oracle-bone, bronze inscription, or excavated-text snippets.
`kde`	Dictionary-style or reference-style entries about characters, words, pronunciations, forms, or glosses.
`noise`	Irrelevant, navigational, administrative, advertising, broken OCR, or otherwise unsuitable text.

Splits

Split	Rows
train	280
validation	60
test	60

Each split is balanced, with 70/15/15 examples per label.

Fields

id: unique sample identifier
text: Chinese input snippet
label: one of ksd, kpt, kde, or noise
source_url: public source URL or source reference
language: currently chinese

Intended Use

This dataset is intended for small-scale experiments in corpus filtering, document routing, and information retrieval preparation for Ancient Chinese paleography materials.

Limitations

The dataset is small and domain-specific. All final samples are Chinese, so performance on English or mixed-language text is not evaluated. Some labels are inherently ambiguous because short scholarly comments may resemble dictionary entries or primary transcriptions.

Privacy and Ethics

The dataset uses public scholarly, reference, transcription, and webpage snippets. It does not intentionally include private or sensitive personal information.

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