Implement the OpenBookQA evaluation

[StellaAthena]

From the GPT-3 paper

On OpenBookQA [MCKS18], GPT-3 improves significantly from zero to few shot settings but is still over 20 points short of the overall SOTA. GPT-3’s few-shot performance is similar to a fine-tuned BERT Large baseline on the leaderboard.

• 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

[cfoster0]

Note: HuggingFace includes this in its datasets package.

https://huggingface.co/datasets/openbookqa

[cfoster0]

Working on adding this.

[cfoster0]

#42