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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ELAIPBench Dataset

Description

This dataset contains academic questions with evidence passages extracted from research papers. Each question is paired with a relevant passage from the source paper that provides evidence for answering the question.It was officially adopted as the dataset for the CCKS 2025 Academic Paper Question Answering Challenge.

Dataset Structure

The dataset contains 403 questions with the following fields:

paper_id: ID of the source paper (corresponds to PDF filename in papers.zip)
question_type: Type of question (SA-MCQ, MA-MCQ, etc.)
question: The question text
answer: The correct answer
relevant_passage: Evidence passage extracted from the paper
paper_content: Full text content of the source paper

Usage

from datasets import load_dataset
# Load the dataset
dataset = load_dataset("KangKang625/ELAIPBench")
# Access the data
data = dataset['test']
print(f"Number of questions: {len(data)}")
print(f"First question: {data[0]['question']}")
print(f"Paper content length: {len(data[0]['paper_content'])}")

Citation

If you use this dataset, please cite the original ELAIPBench paper.

License

MIT License

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Total file size:

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