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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ITT-Purpose

Author: convence

ITT-Purpose is a premium, hard, and clean benchmark dataset of 100 unique samples for training and evaluating image-to-text-to-text (Vision-Language) models.

Dataset Structure

Each sample contains:

id: A unique UUID string identifying the sample.
image: The rendered visual document containing styled text, code configs, or structured tables.
prompt: A high-difficulty instruction requesting visual layout parsing, math calculating, or semantic reasoning.
response: The clean, correct ground truth text.
style: One of three styles (meaning, formatting, table).

Styles Covered

Meaning: Renders complex technical document segments with multi-hop semantic reasoning questions.
Text Formatting: Renders nested JSON, YAML configs, and Python functions, demanding code structure and detail extraction.
Table: Renders dense telemetry data tables with borders, demanding cell lookups, calculated aggregates, or full markdown table generation.

Usage

from datasets import load_dataset

ds = load_dataset("convence/ITT-Purpose", split="train")
print(ds[0])

License

Apache 2.0

Downloads last month: 86

Total file size:

2.18 MB