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| # DataSet | |
| A benchmark for multi-dimensional question generation evaluation, which consists of 200 instances from SQuAD and HotpotQA, each instance contains 15 questions generated by 15 different QG models. | |
| Evalutaion dimensions: | |
| - fluency | |
| - clarity | |
| - conciseness | |
| - relevance | |
| - consistency | |
| - answerability | |
| - answer consistency | |
| # Models | |
| Trained QG models used for generating questions to be evaluated. | |