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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This dataset is a remastered version of this dataset prepared using Adaption's Adaptive Data platform.

adaption-synthetic_marketing_emails

This dataset comprises a curated corpus of synthetically generated marketing emails designed to mimic real-world commercial discourse and internal strategy communications. The samples feature professional correspondence focused on campaign performance analysis, audience segmentation, and strategic planning within the marketing domain. Constructed for domain adaptation and NLP research, the text reflects authentic structural, stylistic, and rhetorical patterns found in contemporary business environments.

Dataset size

There are 16,459 data points in this dataset. This is a preference training dataset.

Quality of Remastered Dataset

The final quality is A, with a relative quality improvement of 23.8%.

Domain

Marketing (90%)
Corporate-business (5%)
Language (5%)

Language

English (100%)

Tone

Professional (95%)
Technical (5%)

Evaluation Results

Quality Gains:
Grade Improvement:
Percentile Chart:

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Total file size:

125 MB