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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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HumTrans Dataset

  • Dataset Name: HumTrans
  • Dataset Type: Humming audio in .wav format and corresponding label MIDI file
  • Primary Use: Humming melody transcription and as a foundation for downstream tasks such as humming melody based music generation
  • Summary: 500 musical compositions of different genres and languages, 1000 music segments in total; sampled at a frequency of 44,100 Hz; approximately 56.22 hours of audio; 14,614 files in total.
  • File Description: all_wav.zip includes all the humming audios in .wav format, all_midi.zip includes all the corresponding label MIDIs in .mid format. Both of these two share the same naming convention, which is personID_musicID_segmentID_repetitionID or personID_musicID_segmentID_repetitionID_[U/D/DD/DDD]. For example, F01_0005_0001_1, or F04_0055_0001_2_DD. train_valid_test_keys.json contains the official split of this dataset, including train, valid and test.
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