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model update

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  1. README.md +0 -46
README.md CHANGED
@@ -46,21 +46,6 @@ 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 (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
@@ -79,21 +64,6 @@ model-index:
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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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- - name: BLEU4 (Question & Answer Generation)
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- type: bleu4_question_answer_generation
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- value: 3.48
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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: 23.31
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- - name: METEOR (Question & Answer Generation)
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- type: meteor_question_answer_generation
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- value: 23.95
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- - name: BERTScore (Question & Answer Generation)
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- type: bertscore_question_answer_generation
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- value: 77.23
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- - name: MoverScore (Question & Answer Generation)
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- type: moverscore_question_answer_generation
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- value: 54.66
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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: 81.63
@@ -169,40 +139,24 @@ output = pipe("<hl> Dopo il 1971 <hl> , l' OPEC ha tardato ad adeguare i prezzi
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 86.62 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_1 | 40.5 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_2 | 28.64 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_3 | 20.78 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_4 | 15.44 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | METEOR | 34.31 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | MoverScore | 60.68 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedF1Score (BERTScore) | 87.66 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedF1Score (MoverScore) | 61.6 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (BERTScore) | 87.76 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (MoverScore) | 61.73 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (BERTScore) | 87.57 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (MoverScore) | 61.48 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | ROUGE_L | 40.08 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-small-itquad-ae`](https://huggingface.co/lmqg/mt5-small-itquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-small-itquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_itquad.default.lmqg_mt5-small-itquad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 77.23 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_1 | 23.77 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_2 | 13.25 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_3 | 6.48 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | Bleu_4 | 3.48 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | METEOR | 23.95 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | MoverScore | 54.66 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedF1Score (BERTScore) | 81.63 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedF1Score (MoverScore) | 55.85 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (BERTScore) | 81.04 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (MoverScore) | 55.6 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (BERTScore) | 82.28 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (MoverScore) | 56.14 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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- | ROUGE_L | 23.31 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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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: 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: 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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  - 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: 81.63
 
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 87.66 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedF1Score (MoverScore) | 61.6 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (BERTScore) | 87.76 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (MoverScore) | 61.73 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (BERTScore) | 87.57 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (MoverScore) | 61.48 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
 
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-small-itquad-ae`](https://huggingface.co/lmqg/mt5-small-itquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-small-itquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_itquad.default.lmqg_mt5-small-itquad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 81.63 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedF1Score (MoverScore) | 55.85 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (BERTScore) | 81.04 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedPrecision (MoverScore) | 55.6 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (BERTScore) | 82.28 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
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  | QAAlignedRecall (MoverScore) | 56.14 | default | [lmqg/qg_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) |
 
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