Codes and data for the paper "Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals".

This repo contains:

1. the prompts used to instruct LLMs, including the prompts used to generate the counterfactual samples in directory prompts/, the prompts used to score the essays and the prompts used to generate feedback. Specifically:
   • system: system messages
   • cf_gen: user messages used to generate counterfactual samples
   • scoring: user messages used to score the essays (both the original and the counterfactual samples)
   • feedback: user messages used to generate feedback
2. the test set essays and corresponding counterfactual essays for both the TOEFL11 and ELLIPSE datasets in directory data/, specifically, counterfactual samples are stored in sub-directory data/${DATASET_NAME}/cfact.
3. few-shot examples for both the TOEFL11 and ELLIPSE datasets in directory data/. Both files are called medoids_dict.json
4. Python and shell scripts to control the whole experimental process:
   1. for detail of counterfactual generation, please refer to sub-directory cf_gen_exp/;
   2. for detail of scoring, please refer to sub-directory scoring_exp/;
   3. for detail of feedback generation, please refer to sub-directory feedback_exp/.