Omkar2118/datasets huggingface dataset:
MedTurkQuAD: Medical Turkish Question-Answering Dataset

A comprehensive Turkish dataset for question-answering tasks in medical domain

Introducing paper: Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches
GSM-Plus

By perturbing the widely used GSM8K dataset, an adversarial dataset for grade-school math called GSM-Plus is created. Motivated by the capability taxonomy for solving math problems mentioned in Polya's principles, this paper identifies 5 perspectives to guide the development of GSM-Plus:

* Numerical Variation refers to altering the numerical data or its types, including 3 subcategories: Numerical Substitution, Digit Expansion, and Integer-decimal-fraction Conversion.
* Arithmetic Variation refers to reversing or introducing additional operations (e.g., addition, subtraction, multiplication, and division) to math problems, including 2 subcategories: Adding Operation and Reversing Operation.
* Problem Understanding refers to rephrasing the text description of the math problems.
* Distractor Insertion refers to inserting topic-related but useless sentences to the problems.
* Critical Thinking focuses on question or doubt ability when the question lacks necessary statements.

GSM-Plus can be used to evaluate the robustness of current LLMs in mathematical reasoning.

Introducing paper: GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers