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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Arabic Bench Dataset

A curated evaluation dataset for benchmarking AI models on Arabic language tasks.

Overview

50 test cases across 8 categories
Each case includes a prompt, gold-standard reference answer, and a deliberately imperfect AI response
Covers Modern Standard Arabic (MSA) and multiple Arabic dialects
Designed for evaluating: translation, summarization, Q&A, creative writing, grammar, dialect understanding, legal/formal, and medical/scientific tasks

Schema

Each test case contains:

Field	Type	Description
`id`	string	Unique identifier (e.g., "tr-01")
`category`	string	Category ID
`difficulty`	string	easy, medium, or hard
`title`	string	English title
`title_ar`	string	Arabic title
`prompt`	string	The task prompt
`reference`	string	Gold-standard reference answer
`ai_input`	string	Deliberately imperfect AI response for evaluation

Usage

from datasets import load_dataset
ds = load_dataset("Moealsarraj/arabic-bench-dataset", split="train")

Or load directly:

import json
with open("data/test_cases.jsonl") as f:
    cases = [json.loads(line) for line in f]

Live Tool

Try the interactive evaluation tool: Arabic Bench on HuggingFace Spaces

Author

Mohammed AL Sarraj — AI Engineer

Downloads last month: 12

Total file size:

58.1 kB

Category	Arabic	Count
Translation	ترجمة	7
Summarization	تلخيص	6
Question Answering	أسئلة وأجوبة	6
Creative Writing	كتابة إبداعية	6
Grammar & Correction	نحو وإملاء	6
Dialect Understanding	لهجات	6
Legal & Formal	قانوني ورسمي	6
Medical & Scientific	طبي وعلمي	7

Datasets:

Moealsarraj
/

arabic-bench-dataset