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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Formulation Records Instruct

A synthetic, de-identified instruction dataset for teaching an LLM to structure and reason over semiconductor wet-chemistry formulation records. Three tasks: extract (messy text → structured JSON), normalize (name/unit → canonical), explain (optimizer result → plain-language explanation).

Built by Formulith. Generator & schema: https://github.com/formulith/formulation-records-dataset.

本專案部分研發由數位發展部數位產業署 115 年 AI 算力平台支持。 Part of this work is supported by the AI Computing Platform (2026), Administration for Digital Industries, Ministry of Digital Affairs, Taiwan.

Data is synthetic

Procedurally generated — no real customer data, no proprietary formulations. Values are illustrative. Schema mirrors a real formulation-optimization pipeline (molecule identity, normalized units, objectives, feasibility).

Fields

See schema.json in the GitHub repo. Each row: { "task", "input", "output" }.

License

CC-BY-4.0.

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