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model update

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  1. README.md +2 -3
README.md CHANGED
@@ -70,8 +70,7 @@ model_path = 'lmqg/t5-small-subjqa-vanilla-grocery'
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  pipe = pipeline("text2text-generation", model_path)
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  # Question Generation
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- input_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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- question = pipe(input_text)
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  ```
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  ## Evaluation Metrics
@@ -81,7 +80,7 @@ question = pipe(input_text)
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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- | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | grocery | 2.4464504644759516e-11 | 0.045419349723152945 | 0.05044192718996053 | 0.8035227414766948 | 0.5049330526502076 | [link](https://huggingface.co/lmqg/t5-small-subjqa-vanilla-grocery/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.grocery.json) |
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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
 
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  | Dataset | Type | BLEU4 | ROUGE-L | METEOR | BERTScore | MoverScore | Link |
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  |:--------|:-----|------:|--------:|-------:|----------:|-----------:|-----:|
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+ | [lmqg/qg_subjqa](https://huggingface.co/datasets/lmqg/qg_subjqa) | grocery | 0.0 | 0.045 | 0.05 | 0.804 | 0.505 | [link](https://huggingface.co/lmqg/t5-small-subjqa-vanilla-grocery/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_subjqa.grocery.json) |
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