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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 failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SceneShift InteriorGS Bench (50 Scenes)
A spatial reasoning VQA benchmark built on 3D Gaussian Splatting (3DGS) reconstructions of real indoor scenes from the InteriorGS dataset.
Dataset Summary
- 50 indoor scenes from InteriorGS
- 129,362 questions across 13 question types
- 3,820 rendered images from diverse camera poses
- 4 camera motion patterns: around, linear, rotation, spherical
- 13 question types: object_size, object_distance_to_camera, object_pair_distance_center, relative_size, relative_distance, relative_distance_to_camera, mc, object_size_comparison_relative, object_size_comparison_absolute, object_pair_distance_center_w_size, object_pair_distance_vector, object_comparison_absolute_distance, object_comparison_relative_distance
Directory Structure
{pattern}/{scene_id}/
├── metadata.json # Scene metadata (objects, camera count, question types)
├── questions.jsonl # QA pairs (one JSON object per line)
└── images/
├── pose_0000.png # Rendered views from different camera poses
├── pose_0001.png
└── ...
Patterns: around/, linear/, rotation/, spherical/
Question Format (questions.jsonl)
Each line is a JSON object:
{
"question": "What is the estimated length of the chair in this scene in meters? ...",
"answer": "1.26",
"answer_type": "numerical",
"question_type": "object_size",
"question_id": "object_size_29_length",
"primary_object": "29",
"objects": [...],
"camera_pose_index": 0,
"image_path": "pose_0000.png"
}
Question Types
| Type | Description |
|---|---|
object_size |
Estimate object dimensions (length/width/height) |
object_distance_to_camera |
Distance from an object to the camera |
object_pair_distance_center |
Distance between two object centers |
relative_size |
Yes/No comparison of two objects' sizes |
relative_distance |
Yes/No comparison of two distances |
relative_distance_to_camera |
Yes/No: which object is closer to camera |
mc |
Multiple-choice (A/B/C/D) spatial questions |
object_size_comparison_relative |
Relative size ratio between objects |
object_size_comparison_absolute |
Absolute size difference between objects |
object_pair_distance_center_w_size |
Distance considering object sizes |
object_pair_distance_vector |
Directional distance vector between objects |
object_comparison_absolute_distance |
Absolute distance difference |
object_comparison_relative_distance |
Relative distance ratio |
Citation
If you use this dataset, please cite the associated work.
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