model update

README.md

@@ -46,21 +46,6 @@ model-index:
     - name: MoverScore (Question Generation)
       type: moverscore_question_generation
       value: 59.62
-    - name: BLEU4 (Question & Answer Generation (with Gold Answer))
-      type: bleu4_question_answer_generation_with_gold_answer
-      value: 13.15
-    - name: ROUGE-L (Question & Answer Generation (with Gold Answer))
-      type: rouge_l_question_answer_generation_with_gold_answer
-      value: 43.34
-    - name: METEOR (Question & Answer Generation (with Gold Answer))
-      type: meteor_question_answer_generation_with_gold_answer
-      value: 38.28
-    - name: BERTScore (Question & Answer Generation (with Gold Answer))
-      type: bertscore_question_answer_generation_with_gold_answer
-      value: 89.66
-    - name: MoverScore (Question & Answer Generation (with Gold Answer))
-      type: moverscore_question_answer_generation_with_gold_answer
-      value: 64.01
     - 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: 89.68
@@ -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: 64.24
-    - name: BLEU4 (Question & Answer Generation)
-      type: bleu4_question_answer_generation
-      value: 1.79
-    - name: ROUGE-L (Question & Answer Generation)
-      type: rouge_l_question_answer_generation
-      value: 16.03
-    - name: METEOR (Question & Answer Generation)
-      type: meteor_question_answer_generation
-      value: 22.64
-    - name: BERTScore (Question & Answer Generation)
-      type: bertscore_question_answer_generation
-      value: 70.59
-    - name: MoverScore (Question & Answer Generation)
-      type: moverscore_question_answer_generation
-      value: 52.0
     - name: QAAlignedF1Score-BERTScore (Question & Answer Generation) [Gold Answer]
       type: qa_aligned_f1_score_bertscore_question_answer_generation_gold_answer
       value: 80.79
@@ -169,40 +139,24 @@ output = pipe("del <hl> Ministerio de Desarrollo Urbano <hl> , Gobierno de la In
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
-| BERTScore                       |   89.66 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_1                          |   40.34 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_2                          |   27.11 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_3                          |   18.71 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_4                          |   13.15 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| METEOR                          |   38.28 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| MoverScore                      |   64.01 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedF1Score (BERTScore)    |   89.68 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedF1Score (MoverScore)   |   64.22 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedPrecision (BERTScore)  |   89.7  | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedPrecision (MoverScore) |   64.24 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedRecall (BERTScore)     |   89.66 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedRecall (MoverScore)    |   64.21 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| ROUGE_L                         |   43.34 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 
 
 - ***Metric (Question & Answer Generation, Pipeline Approach)***: Each question is generated on the answer generated by [`lmqg/mt5-base-esquad-ae`](https://huggingface.co/lmqg/mt5-base-esquad-ae). [raw metric file](https://huggingface.co/lmqg/mt5-base-esquad-qg/raw/main/eval_pipeline/metric.first.answer.paragraph.questions_answers.lmqg_qg_esquad.default.lmqg_mt5-base-esquad-ae.json)
 
 |                                 |   Score | Type    | Dataset                                                          |
 |:--------------------------------|--------:|:--------|:-----------------------------------------------------------------|
-| BERTScore                       |   70.59 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_1                          |   11.75 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_2                          |    5.74 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_3                          |    3.04 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| Bleu_4                          |    1.79 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| METEOR                          |   22.64 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| MoverScore                      |   52    | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedF1Score (BERTScore)    |   80.79 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedF1Score (MoverScore)   |   55.25 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedPrecision (BERTScore)  |   78.45 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedPrecision (MoverScore) |   53.7  | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedRecall (BERTScore)     |   83.34 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
 | QAAlignedRecall (MoverScore)    |   56.99 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |
-| ROUGE_L                         |   16.03 | default | [lmqg/qg_esquad](https://huggingface.co/datasets/lmqg/qg_esquad) |