Datasets:
metadata
license: apache-2.0
task_categories:
- question-answering
dataset_info:
features:
- name: problem_id
dtype: string
- name: modified_question
dtype: string
- name: original_question
dtype: string
- name: original_solution
dtype: string
- name: modified_solution
dtype: string
- name: original_answer
dtype: string
- name: modified_answer
dtype: string
splits:
- name: train
num_bytes: 69968
num_examples: 80
download_size: 18113
dataset_size: 69968
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
ReasoningTrap: Diagnosing Instruction Overriding in Reasoning Models
This repository contains datasets designed to diagnose reasoning rigidity in large language models. These datasets are specially crafted modifications of existing mathematical benchmarks and puzzles to reveal how models override instructions. The paper describing this work can be found here: Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models.
Project Page: https://ReasoningTrap.github.io
The datasets are available on the Hugging Face Hub:
- ConditionedMath (AIME): https://huggingface.co/datasets/ReasoningTrap/AIME
- ConditionedMath (MATH500): https://huggingface.co/datasets/ReasoningTrap/MATH500
- PuzzleTrivial: https://huggingface.co/datasets/ReasoningTrap/PuzzleTrivial