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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Shamima/sd3-medium-scm-corpus

Synthetic image corpus generated with Stable Diffusion 3 medium for studying the Stereotype Content Model (SCM) structure of text-to-image latent space.

Images: 6,600
Categories: 66 occupation/identity groups
Prompt template: "A portrait of a [group], high quality."
Generator: Stable Diffsuion 3 medium, DPM++ 2M Karras, 30 steps, CFG 7.0
Resolution: 512 x 512

Fields

field	description
`image`	RGB JPEG
`category`	Group/occupation label
`kind`	`identity` or `occupation`
`source`	`Fiske2002` or `He2019` (or other)
`prompt`	Full prompt used to generate the image
`seed`	Per-image generator seed (for exact reproduction)
`template_idx`	Index of prompt template within category
`sample_idx`	Sample index within (category, template)
`warmth_mean`	Human-rated warmth (mean) on `scale_max` scale
`competence_mean`	Human-rated competence (mean) on `scale_max` scale
`scale_max`	Top of the rating scale used by the source paper

Reproducing an image

import torch
from diffusers import StableDiffusionXLPipeline

pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16,
).to("cuda")
gen = torch.Generator("cuda").manual_seed(row["seed"])
img = pipe(row["prompt"], generator=gen, num_inference_steps=30,
           guidance_scale=7.0).images[0]

Sources

Fiske, S. T., Cuddy, A. J. C., Glick, P., & Xu, J. (2002).
He, J. C., Kang, S. K., Tse, K., & Toh, S. M. (2019).

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