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model update

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  1. README.md +0 -46
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@@ -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: 64.56
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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: 19.28
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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: 52.09
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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: 45.42
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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: 90.95
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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: 69.57
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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: 91.1
@@ -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: 70.07
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- - name: BLEU4 (Question & Answer Generation)
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- type: bleu4_question_answer_generation
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- value: 2.31
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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: 14.44
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- - name: METEOR (Question & Answer Generation)
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- type: meteor_question_answer_generation
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- value: 21.31
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- - name: BERTScore (Question & Answer Generation)
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- type: bertscore_question_answer_generation
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- value: 66.17
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- - name: MoverScore (Question & Answer Generation)
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- type: moverscore_question_answer_generation
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- value: 51.55
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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: 77.03
@@ -169,40 +139,24 @@ output = pipe("Нелишним будет отметить, что, разви
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 90.95 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_1 | 47.1 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_2 | 35.2 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_3 | 26.68 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_4 | 19.28 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | METEOR | 45.42 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | MoverScore | 69.57 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedF1Score (BERTScore) | 91.1 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedF1Score (MoverScore) | 70.06 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (BERTScore) | 91.11 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (MoverScore) | 70.07 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (BERTScore) | 91.09 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (MoverScore) | 70.04 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | ROUGE_L | 52.09 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-ruquad-ae`](https://huggingface.co/lmqg/mt5-base-ruquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-ruquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_ruquad.default.lmqg_mt5-base-ruquad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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- | BERTScore | 66.17 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_1 | 9.6 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_2 | 5.64 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_3 | 3.61 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | Bleu_4 | 2.31 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | METEOR | 21.31 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | MoverScore | 51.55 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedF1Score (BERTScore) | 77.03 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedF1Score (MoverScore) | 55.61 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (BERTScore) | 73.44 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (MoverScore) | 53.27 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (BERTScore) | 81.17 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (MoverScore) | 58.39 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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- | ROUGE_L | 14.44 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 64.56
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 91.1
 
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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: 70.07
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: 77.03
 
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 91.1 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedF1Score (MoverScore) | 70.06 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (BERTScore) | 91.11 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (MoverScore) | 70.07 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (BERTScore) | 91.09 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (MoverScore) | 70.04 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
 
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  - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-ruquad-ae`](https://huggingface.co/lmqg/mt5-base-ruquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-ruquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_ruquad.default.lmqg_mt5-base-ruquad-ae.json)
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 77.03 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedF1Score (MoverScore) | 55.61 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (BERTScore) | 73.44 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedPrecision (MoverScore) | 53.27 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (BERTScore) | 81.17 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
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  | QAAlignedRecall (MoverScore) | 58.39 | default | [lmqg/qg_ruquad](https://huggingface.co/datasets/lmqg/qg_ruquad) |
 
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