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QGEval

non-profit
https://github.com/WeipingFu/QGEval
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AI & ML interests

Question Generation, Evalutaion

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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.

models 10

QGEval2024/flan-t5-xxl-squad-lora-qg

Updated Sep 4, 2024

QGEval2024/flan-t5-xl-squad-lora-qg

Updated Sep 4, 2024

QGEval2024/flan-t5-xxl-hotpotqa-lora-qg

Updated Sep 4, 2024

QGEval2024/flan-t5-xl-hotpotqa-lora-qg

Updated Sep 4, 2024

QGEval2024/flan-t5-large-hotpotqa-finetune-qg

Updated Sep 4, 2024

QGEval2024/flan-t5-base-hotpotqa-finetune-qg

Updated Sep 4, 2024 • 2

QGEval2024/t5-large-hotpotqa-finetune-qg

Updated Sep 4, 2024 • 1

QGEval2024/t5-base-hotpotqa-finetune-qg

Updated Sep 4, 2024

QGEval2024/bart-large-hotpotqa-finetune-qg

Text Generation • Updated Sep 4, 2024 • 22

QGEval2024/bart-base-hotpotqa-finetune-qg

Text Generation • Updated Sep 4, 2024 • 21

datasets 1

QGEval2024/QGEval

Viewer • Updated Sep 4, 2024 • 200 • 14
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