Datasets:

AnonBenchmark322
/

benchmark_data

This repository contains a collection of condensed matter physics benchmark problems designed for evaluating Large Language Models (LLMs) on scientific reasoning tasks.

Data Format

Each benchmark problem in the dataset is structured as a JSON object containing the following fields:

Fields

Prompt: The input string that is fed to the LLM
Solution: A LaTeX-formatted string representing the mathematical formula that solves the question posed in the prompt
Parameters: A list of independent tokens that should be treated as single variables in the LaTeX response string. These include:
- Single variables (e.g., $A$ , $x$ )
- Greek letters (e.g., $\epsilon$ )
- Complex strings with subscripts (e.g., $\delta_{i,j}$ )
Each parameter should be separated by a semicolon (;).
Functions: A list of tokens that should be treated as a general function in the results string. These functions should act on some object, i.e. if y is in the list of functions, we interpret y(x) as y applied to x rather than y*x. The function data should be a single string with functions separated by semi-colons. Note that common functions like sin, etc. need not be declared. They may take the following forms
- Single letters (e.g., $A$ , $x$ )
- Greek letters (e.g., $\epsilon$ )
- Complex strings with subscripts (e.g., $\delta_{i,j}$ )

Example

{
  "prompt": "What is the derivative of f(x) = x^2?",
  "solution": "\\frac{d}{dx}(x^2) = 2x",
  "parameters": "x",
  "functions": ""
}