| --- |
| language: |
| - en |
| license: mit |
| --- |
| |
| # Benchmark Dataset |
|
|
| 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 |
|
|
| ```json |
| { |
| "prompt": "What is the derivative of f(x) = x^2?", |
| "solution": "\\frac{d}{dx}(x^2) = 2x", |
| "parameters": "x", |
| "functions": "" |
| } |
| ``` |
