pretty_name: Nordet Social Cognition Benchmark
language:
- fr
- en
task_categories:
- question-answering
- visual-question-answering
tags:
- benchmark
- social-cognition
- quebec
- multimodal
size_categories:
- n<1K
Nordet Social Cognition Benchmark
Nordet evaluates social cognition in culturally and historically situated Quebec contexts. It contains 381 challenge and control examples across four tasks:
- literal vs. intent;
- historical and social inference;
- communication adaptation;
- cultural understanding.
The dataset combines text, transcribed spoken language, and 57 embedded images. Questions are provided in French and English. Every row includes a reference answer, source citation, and a reproducible LLM-as-a-judge prompt template.
Loading
from datasets import load_dataset
dataset = load_dataset("Pythonner/nordet", split="train")
For multimodal examples, image is decoded as a PIL image. Text-only examples contain None.
The messages column follows the Hugging Face conversational vision format; an image content
marker identifies where the corresponding image belongs in the user message.
Variants
The variant column distinguishes challenge from control. Controls preserve the general
question and evaluation shape while reducing the culturally situated social inference required.
Evaluation
Replace {response_text} in llm_as_a_judge_prompt_template with the evaluated model response:
judge_prompt = row["llm_as_a_judge_prompt_template"].replace(
"{response_text}", model_response
)
The template requests a structured result for every criterion. Reference answers are included in the criteria where the original Kaggle benchmark used them for judge calibration.
Sources and rights
Questions were authored for Nordet. Reference answers are grounded in the cited source material. Images retain their original source URLs and should be used according to the rights identified by their respective source repositories, including BAnQ and Wikimedia Commons.
See the final project writeup: https://www.kaggle.com/competitions/kaggle-measuring-agi/writeups/nordet-social-cognition-benchmark