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The sentence 'She don’t like going to the park' serves as an example input for a grammatical error correction task. It contains a subject-verb agreement error, where 'don’t' should be 'doesn’t' to agree with the third-person singular subject 'She'.

Example of an Input for Grammatical Error Correction

A prompt for a grammar correction task can be structured to guide a Large Language Model by defining its persona, the nature of the input, and the expected output. For instance, a complete prompt might look like this:

`You are a helpful assistant, and are great at grammar correction.`

`You will be provided with a sentence in English. The task is to output the correct sentence.`

`Input: She don’t like going to the park.`

This example first establishes the model's role as a grammar expert, then specifies the task, and finally provides the actual input sentence, clearly labeled with the 'Input:' field.

Example of a Persona-based Prompt for Grammar Correction

A specific instance of a grammatical error correction task is shown with the input 'There is many reasons to celebrate.' The model's expected output, demonstrating a correction in subject-verb agreement, is 'There are many reasons to celebrate.' This pair illustrates the task's objective of transforming an incorrect sentence into its correct form.

Example of a Grammatical Error Correction Input-Output Pair

Consider the sentence: 'He run fast to catch the bus.' Analyze this sentence as a potential input for a system designed to correct grammatical mistakes. In your analysis, identify the specific grammatical error present and explain why this sentence is a suitable example for testing the system's capabilities.

Analyzing a Test Input for Grammar Correction

Based on the developer's goal, provide one example of an input sentence that would be suitable for this dataset. Then, briefly explain why your chosen sentence is a good test case for the specified error type.

Creating a Test Case for a Grammar Correction Model

An engineer is testing a program designed to automatically correct grammatical errors. To specifically test the program's ability to handle subject-verb agreement mistakes, which of the following sentences would serve as the most effective and unambiguous input?

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