Implement the English Grammar Correction evaluation

[StellaAthena]

From the GPT-3 paper

Another task well suited for few-shot learning is correcting English grammar. We test this with GPT-3 in the fewshot setting by giving prompts of the form "Poor English Input: \n Good English Output: ". We give GPT-3 one human-generated correction and then ask it to correct 5 more (again without any omissions or repeats). Results are shown in Figure 3.17.

This is a task where we will have to create our own dataset.

• Data processing code implemented
• Evaluation implemented

The evaluation code should be modeled after the interface in lm_eval/base.py and the example of the BoolQ task in lm_eval/tasks/suerglue.py