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model update

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  1. README.md +23 -23
README.md CHANGED
@@ -46,38 +46,38 @@ model-index:
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 56.79
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- - name: BLEU4 (Question & Answer Generation)
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- type: bleu4_question_answer_generation
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  value: 15.44
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- - name: ROUGE-L (Question & Answer Generation)
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- type: rouge_l_question_answer_generation
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  value: 40.08
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- - name: METEOR (Question & Answer Generation)
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- type: meteor_question_answer_generation
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  value: 34.31
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- - name: BERTScore (Question & Answer Generation)
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- type: bertscore_question_answer_generation
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  value: 86.62
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- - name: MoverScore (Question & Answer Generation)
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- type: moverscore_question_answer_generation
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  value: 60.68
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- - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
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- type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
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  value: 87.66
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- - name: QAAlignedRecall-BERTScore (Question & Answer Generation) [Gold Answer]
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- type: qa_aligned_recall_bertscore_question_answer_generation_gold_answer
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  value: 87.57
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- - name: QAAlignedPrecision-BERTScore (Question & Answer Generation) [Gold Answer]
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- type: qa_aligned_precision_bertscore_question_answer_generation_gold_answer
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  value: 87.76
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- - name: QAAlignedF1Score-MoverScore (Question & Answer Generation) [Gold Answer]
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- type: qa_aligned_f1_score_moverscore_question_answer_generation_gold_answer
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  value: 61.6
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- - name: QAAlignedRecall-MoverScore (Question & Answer Generation) [Gold Answer]
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- type: qa_aligned_recall_moverscore_question_answer_generation_gold_answer
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  value: 61.48
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- - name: QAAlignedPrecision-MoverScore (Question & Answer Generation) [Gold Answer]
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- type: qa_aligned_precision_moverscore_question_answer_generation_gold_answer
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  value: 61.73
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  ---
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@@ -132,7 +132,7 @@ output = pipe("<hl> Dopo il 1971 <hl> , l' OPEC ha tardato ad adeguare i prezzi
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  | ROUGE_L | 21.93 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- - ***Metric (Question & Answer Generation)***: QAG metrics are computed with *the gold answer* and generated question on it for this model, as the model cannot provide an answer. [raw metric file](https://huggingface.co/lmqg/mt5-small-itquad-qg/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_itquad.default.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 56.79
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+ - name: BLEU4 (Question & Answer Generation (with Gold Answer))
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+ type: bleu4_question_answer_generation_with_gold_answer
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  value: 15.44
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+ - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
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+ type: rouge_l_question_answer_generation_with_gold_answer
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  value: 40.08
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+ - name: METEOR (Question & Answer Generation (with Gold Answer))
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+ type: meteor_question_answer_generation_with_gold_answer
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  value: 34.31
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+ - name: BERTScore (Question & Answer Generation (with Gold Answer))
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+ type: bertscore_question_answer_generation_with_gold_answer
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  value: 86.62
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+ - name: MoverScore (Question & Answer Generation (with Gold Answer))
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+ type: moverscore_question_answer_generation_with_gold_answer
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  value: 60.68
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+ - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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+ type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 87.66
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+ - name: QAAlignedRecall-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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+ type: qa_aligned_recall_bertscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 87.57
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+ - name: QAAlignedPrecision-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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+ type: qa_aligned_precision_bertscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 87.76
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+ - name: QAAlignedF1Score-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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+ type: qa_aligned_f1_score_moverscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 61.6
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+ - name: QAAlignedRecall-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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+ type: qa_aligned_recall_moverscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 61.48
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+ - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
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+ type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
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  value: 61.73
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  ---
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  | ROUGE_L | 21.93 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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+ - ***Metric (Question & Answer Generation, Reference Answer)***: Each question is generated from *the gold answer*. [raw metric file](https://huggingface.co/lmqg/mt5-small-itquad-qg/raw/main/eval/metric.first.answer.paragraph.questions_answers.lmqg_qg_itquad.default.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|