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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test5555

Internal synthetic image dataset. Not intended for redistribution or external use.

Format

data/bNNN.parquet — one shard per source batch (~512 frames × 4 cameras)
Columns: id, split, batch, pose_index, camera, rgb, mask, keypoints, bones
rgb / mask: PNG bytes (not base64)
keypoints / bones: JSON strings
Resolution: 720×1280, black background

Usage

from datasets import load_dataset
ds = load_dataset("todo1111/test5555", data_files="data/*.parquet", split="train")
row = ds[0]
img = row["rgb"]  # PIL via datasets Image(decode=True) if cast

License

Private research use only. Do not redistribute.

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Total file size:

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