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model update

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  1. README.md +5 -5
README.md CHANGED
@@ -14,11 +14,11 @@ pipeline_tag: text2text-generation
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  tags:
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  - question generation
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  widget:
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- - text: "generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
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  example_title: "Question Generation Example 1"
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- - text: "generate question: Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
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  example_title: "Question Generation Example 2"
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- - text: "generate question: Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ."
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  example_title: "Question Generation Example 3"
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  model-index:
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  - name: lmqg/mt5-base-dequad
@@ -70,7 +70,7 @@ model_path = 'lmqg/mt5-base-dequad'
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  pipe = pipeline("text2text-generation", model_path)
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  # Question Generation
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- question = pipe('generate question: <hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
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  ```
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  ## Evaluation Metrics
@@ -80,7 +80,7 @@ question = pipe('generate question: <hl> Beyonce <hl> further expanded her actin
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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- | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) | default | 0.008725076003212685 | 0.11103265327794129 | 0.1365307725077819 | 0.803881755792351 | 0.5572775810948901 | [link](https://huggingface.co/lmqg/mt5-base-dequad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_dequad.default.json) |
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  tags:
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  - question generation
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  widget:
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+ - text: "<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records."
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  example_title: "Question Generation Example 1"
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+ - text: "Beyonce further expanded her acting career, starring as blues singer <hl> Etta James <hl> in the 2008 musical biopic, Cadillac Records."
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  example_title: "Question Generation Example 2"
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+ - text: "Beyonce further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, <hl> Cadillac Records <hl> ."
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  example_title: "Question Generation Example 3"
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  model-index:
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  - name: lmqg/mt5-base-dequad
 
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  pipe = pipeline("text2text-generation", model_path)
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  # Question Generation
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+ question = pipe('<hl> Beyonce <hl> further expanded her acting career, starring as blues singer Etta James in the 2008 musical biopic, Cadillac Records.')
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  ```
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  ## Evaluation Metrics
 
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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+ | [lmqg/qg_dequad](https://huggingface.co/datasets/lmqg/qg_dequad) | default | 0.009 | 0.111 | 0.137 | 0.804 | 0.557 | [link](https://huggingface.co/lmqg/mt5-base-dequad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_dequad.default.json) |
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