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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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100k-GPT-OSS

This dataset is a 100,000-example capped-even blend of GPT-OSS completions from the Hugging Face collection:

jamesdborin/nemotron-post-training-v3-prompt-only-6a3d3196f7aa08cd7a434fc1

Source file used from each completed dataset:

data/gpt-oss-20b.jsonl

Sampling

The blend uses a capped-even allocation across the 19 source datasets that had GPT-OSS completions available.

Datasets smaller than the equal allocation were included in full. The remaining slots were split evenly across the larger datasets. Rows were taken as deterministic prefixes from the remote source JSONL files and then globally shuffled deterministically.

Each row preserves the source completion schema and adds provenance fields:

  • source_dataset
  • source_repo
  • source_collection
  • blend

See manifest.json for the exact allocation and generation metadata.

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