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1 Parent(s): 6e7c8e3

model update

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  1. README.md +35 -12
README.md CHANGED
@@ -51,23 +51,38 @@ model-index:
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 58.34
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- - name: QAAlignedF1Score-BERTScore (Question & Answer Generation)
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- type: qa_aligned_f1_score_bertscore_question_answer_generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  value: 79.06
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- - name: QAAlignedRecall-BERTScore (Question & Answer Generation)
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- type: qa_aligned_recall_bertscore_question_answer_generation
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  value: 81.94
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- - name: QAAlignedPrecision-BERTScore (Question & Answer Generation)
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- type: qa_aligned_precision_bertscore_question_answer_generation
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  value: 76.46
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- - name: QAAlignedF1Score-MoverScore (Question & Answer Generation)
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- type: qa_aligned_f1_score_moverscore_question_answer_generation
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  value: 54.49
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- - name: QAAlignedRecall-MoverScore (Question & Answer Generation)
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- type: qa_aligned_recall_moverscore_question_answer_generation
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  value: 56.21
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- - name: QAAlignedPrecision-MoverScore (Question & Answer Generation)
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- type: qa_aligned_precision_moverscore_question_answer_generation
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  value: 52.96
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  - name: BLEU4 (Answer Extraction)
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  type: bleu4_answer_extraction
@@ -152,12 +167,20 @@ question = pipe("extract answers: <hl> En la diáspora somalí, múltiples event
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
 
 
 
 
 
 
 
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  | QAAlignedF1Score (BERTScore) | 79.06 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedF1Score (MoverScore) | 54.49 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedPrecision (BERTScore) | 76.46 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedPrecision (MoverScore) | 52.96 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedRecall (BERTScore) | 81.94 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedRecall (MoverScore) | 56.21 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 
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  - ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-esquad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_esquad.default.json)
 
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  - name: MoverScore (Question Generation)
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  type: moverscore_question_generation
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  value: 58.34
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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: 1.73
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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: 14.86
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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: 21.82
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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: 68.93
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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: 51.59
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+ - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer))
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+ type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer
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  value: 79.06
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+ - name: QAAlignedRecall-BERTScore (Question & Answer Generation (with Gold Answer))
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+ type: qa_aligned_recall_bertscore_question_answer_generation_with_gold_answer
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  value: 81.94
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+ - name: QAAlignedPrecision-BERTScore (Question & Answer Generation (with Gold Answer))
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+ type: qa_aligned_precision_bertscore_question_answer_generation_with_gold_answer
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  value: 76.46
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+ - name: QAAlignedF1Score-MoverScore (Question & Answer Generation (with Gold Answer))
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+ type: qa_aligned_f1_score_moverscore_question_answer_generation_with_gold_answer
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  value: 54.49
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+ - name: QAAlignedRecall-MoverScore (Question & Answer Generation (with Gold Answer))
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+ type: qa_aligned_recall_moverscore_question_answer_generation_with_gold_answer
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  value: 56.21
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+ - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer))
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+ type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer
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  value: 52.96
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  - name: BLEU4 (Answer Extraction)
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  type: bleu4_answer_extraction
 
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  | | Score | Type | Dataset |
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  |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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+ | BERTScore | 68.93 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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+ | Bleu_1 | 10.52 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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+ | Bleu_2 | 5.19 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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+ | Bleu_3 | 2.82 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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+ | Bleu_4 | 1.73 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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+ | METEOR | 21.82 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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+ | MoverScore | 51.59 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedF1Score (BERTScore) | 79.06 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedF1Score (MoverScore) | 54.49 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedPrecision (BERTScore) | 76.46 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedPrecision (MoverScore) | 52.96 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedRecall (BERTScore) | 81.94 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  | QAAlignedRecall (MoverScore) | 56.21 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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+ | ROUGE_L | 14.86 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
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  - ***Metric (Answer Extraction)***: [raw metric file](https://huggingface.co/lmqg/mt5-small-esquad-qg-ae/raw/main/eval/metric.first.answer.paragraph_sentence.answer.lmqg_qg_esquad.default.json)