model update
Browse files
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: 83.36
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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: 12.08
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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: 48.7
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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: 38.75
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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: 88.5
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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: 85.18
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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: 88.8
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@@ -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: 86.01
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- name: BLEU4 (Question & Answer Generation)
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type: bleu4_question_answer_generation
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value: 0.65
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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: 11.32
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- name: METEOR (Question & Answer Generation)
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type: meteor_question_answer_generation
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value: 17.42
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- name: BERTScore (Question & Answer Generation)
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type: bertscore_question_answer_generation
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value: 61.72
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- name: MoverScore (Question & Answer Generation)
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type: moverscore_question_answer_generation
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value: 61.82
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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: 77.26
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@@ -169,40 +139,24 @@ output = pipe("1990년 영화 《 <hl> 남부군 <hl> 》에서 단역으로 영
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| | Score | Type | Dataset |
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|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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| BERTScore | 88.5 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_1 | 43.95 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_2 | 32.47 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_3 | 20.34 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_4 | 12.08 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| METEOR | 38.75 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| MoverScore | 85.18 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedF1Score (BERTScore) | 88.8 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedF1Score (MoverScore) | 85.93 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (BERTScore) | 88.84 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (MoverScore) | 86.01 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (BERTScore) | 88.76 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (MoverScore) | 85.87 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| ROUGE_L | 48.7 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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- ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-koquad-ae`](https://huggingface.co/lmqg/mt5-base-koquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-koquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-base-koquad-ae.json)
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| | Score | Type | Dataset |
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|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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| BERTScore | 61.72 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_1 | 6.83 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_2 | 3.13 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_3 | 1.38 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| Bleu_4 | 0.65 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| METEOR | 17.42 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| MoverScore | 61.82 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedF1Score (BERTScore) | 77.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedF1Score (MoverScore) | 77.51 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (BERTScore) | 76.37 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (MoverScore) | 76.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (BERTScore) | 78.25 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (MoverScore) | 78.95 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| ROUGE_L | 11.32 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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- name: MoverScore (Question Generation)
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type: moverscore_question_generation
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value: 83.36
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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: 88.8
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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: 86.01
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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: 77.26
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| | Score | Type | Dataset |
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|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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| QAAlignedF1Score (BERTScore) | 88.8 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedF1Score (MoverScore) | 85.93 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (BERTScore) | 88.84 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (MoverScore) | 86.01 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (BERTScore) | 88.76 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (MoverScore) | 85.87 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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- ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-koquad-ae`](https://huggingface.co/lmqg/mt5-base-koquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-koquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_koquad.default.lmqg_mt5-base-koquad-ae.json)
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| | Score | Type | Dataset |
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|:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
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| QAAlignedF1Score (BERTScore) | 77.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedF1Score (MoverScore) | 77.51 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (BERTScore) | 76.37 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedPrecision (MoverScore) | 76.26 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (BERTScore) | 78.25 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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| QAAlignedRecall (MoverScore) | 78.95 | default | [lmqg/qg_koquad](https://huggingface.co/datasets/lmqg/qg_koquad) |
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