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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")
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Climate-Sentinel: Synthesized Weather Predictions
📑 Paper | 🌐 Project Page | 💾 Released Resources | 📦 Repo
This is the synthesized weather prediction dataset from our Climate-Sentinel project.
Dataset
| Dataset | Link |
|---|---|
| Climate-Sentinel-Synth | 🤗 |
Synthesis Method
We used Llama-3.1-70B-Instruct to generate natural language weather narratives from the raw sensor data. The model was prompted with structured weather readings and asked to produce human-readable weather reports.
Each entry contains:
- Original raw sensor data reference
- Synthesized weather narrative
- Confidence scores
*Due to data sharing agreements, we only release the synthesized subset of our full dataset.
License
The license for this dataset is llama3.1.
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