metadata
license: mit
tags:
- wingdings_compliance
- gpqa
- reasoning_malleability
t1-wingdings-gpqa-qwen3-235b-a22b-instruct-2507
Wingdings GPQA eval of Qwen3-235B-A22B-Instruct. pass@1: 0%, compliance: 22.5%
Dataset Info
- Rows: 10
- Columns: 14
Columns
| Column | Type | Description |
|---|---|---|
| question | Value('large_string') | No description provided |
| answer | Value('large_string') | No description provided |
| choices | {'label': List(Value('string')), 'text': List(Value('null'))} | No description provided |
| answer_key | Value('large_string') | No description provided |
| task_source | Value('large_string') | No description provided |
| id | Value('large_string') | No description provided |
| formatted_prompt | List({'content': Value('string'), 'role': Value('string')}) | No description provided |
| prompt_variant | Value('large_string') | No description provided |
| response | List(Value('string')) | No description provided |
| formatted_prompt__metadata | List({'endpoint_type': Value('string'), 'litellm_function': Value('string'), 'model': Value('string'), 'raw_prompt': List({'content': Value('string'), 'role': Value('string')}), 'raw_system_prompt': Value('null'), 'request_payload': Value('string')}) | No description provided |
| response__metadata | List({'cost': Value('float64'), 'finish_reason': Value('string'), 'input_tokens': Value('int64'), 'model': Value('string'), 'output_tokens': Value('int64'), 'raw_response': Value('string')}) | No description provided |
| eval_result | List(Value('bool')) | No description provided |
| eval_result__metadata | List({'choice_labels': List(Value('string')), 'confidence': Value('float64'), 'correct_answer': Value('string'), 'extracted_answer': Value('string'), 'extractor': Value('string'), 'full_span': Value('string'), 'line_index': Value('int64'), 'pattern_used': Value('string')}) | No description provided |
| wingdings_compliance | List(Value('float64')) | No description provided |
Generation Parameters
{
"script_name": "wingdings_compliance/academic_eval.py",
"model": "Qwen/Qwen3-235B-A22B-Instruct-2507-tput",
"description": "Wingdings GPQA eval of Qwen3-235B-A22B-Instruct. pass@1: 0%, compliance: 22.5%",
"hyperparameters": {},
"input_datasets": []
}
Usage
from datasets import load_dataset
dataset = load_dataset("reasoning-degeneration-dev/t1-wingdings-gpqa-qwen3-235b-a22b-instruct-2507", split="train")
print(f"Loaded {len(dataset)} rows")
This dataset is tracked in reasoning-degeneration-dev/PROJECT-MANIFEST