model update

README.md

@@ -46,21 +46,6 @@ model-index:
     - name: MoverScore (Question Generation)
       type: moverscore_question_generation
       value: 55.88
-    - name: BLEU4 (Question & Answer Generation (with Gold Answer))
-      type: bleu4_question_answer_generation_with_gold_answer
-      value: 0.09
-    - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
-      type: rouge_l_question_answer_generation_with_gold_answer
-      value: 16.18
-    - name: METEOR (Question & Answer Generation (with Gold Answer))
-      type: meteor_question_answer_generation_with_gold_answer
-      value: 19.96
-    - name: BERTScore (Question & Answer Generation (with Gold Answer))
-      type: bertscore_question_answer_generation_with_gold_answer
-      value: 74.4
-    - name: MoverScore (Question & Answer Generation (with Gold Answer))
-      type: moverscore_question_answer_generation_with_gold_answer
-      value: 52.95
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
       type: qa_aligned_f1_score_bertscore_question_answer_generation_with_gold_answer_gold_answer
       value: 90.66
@@ -79,21 +64,6 @@ model-index:
     - name: QAAlignedPrecision-MoverScore (Question & Answer Generation (with Gold Answer)) [Gold Answer]
       type: qa_aligned_precision_moverscore_question_answer_generation_with_gold_answer_gold_answer
       value: 65.37
-    - name: BLEU4 (Question & Answer Generation)
-      type: bleu4_question_answer_generation
-      value: 0.0
-    - name: ROUGE-L (Question & Answer Generation)
-      type: rouge_l_question_answer_generation
-      value: 0.64
-    - name: METEOR (Question & Answer Generation)
-      type: meteor_question_answer_generation
-      value: 0.0
-    - name: BERTScore (Question & Answer Generation)
-      type: bertscore_question_answer_generation
-      value: 0.0
-    - name: MoverScore (Question & Answer Generation)
-      type: moverscore_question_answer_generation
-      value: 42.88
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
       type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
       value: 0.0
@@ -169,40 +139,24 @@ output = pipe("Empfangs- und Sendeantenne sollen in ihrer Polarisation übereins
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
-| BERTScore                       |   74.4  | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_1                          |   14.89 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_2                          |    6.69 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_3                          |    0.64 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_4                          |    0.09 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| METEOR                          |   19.96 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| MoverScore                      |   52.95 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedF1Score (BERTScore)    |   90.66 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedF1Score (MoverScore)   |   65.36 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedPrecision (BERTScore)  |   90.64 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedPrecision (MoverScore) |   65.37 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedRecall (BERTScore)     |   90.69 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 | QAAlignedRecall (MoverScore)    |   65.36 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| ROUGE_L                         |   16.18 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
 
 
 - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mbart-large-cc25-dequad-ae`](https://huggingface.co/lmqg/mbart-large-cc25-dequad-ae). [raw metric file](https://huggingface.co/lmqg/mbart-large-cc25-dequad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_dequad.default.lmqg_mbart-large-cc25-dequad-ae.json)
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
-| BERTScore                       |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_1                          |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_2                          |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_3                          |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| Bleu_4                          |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| METEOR                          |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| MoverScore                      |   42.88 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| QAAlignedF1Score (BERTScore)    |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| QAAlignedF1Score (MoverScore)   |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| QAAlignedPrecision (BERTScore)  |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| QAAlignedPrecision (MoverScore) |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| QAAlignedRecall (BERTScore)     |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| QAAlignedRecall (MoverScore)    |    0    | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
-| ROUGE_L                         |    0.64 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedF1Score (BERTScore)    |       0 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedF1Score (MoverScore)   |       0 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedPrecision (BERTScore)  |       0 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedPrecision (MoverScore) |       0 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedRecall (BERTScore)     |       0 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |
+| QAAlignedRecall (MoverScore)    |       0 | default | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) |