model update
Browse files
README.md
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@@ -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: "
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example_title: "Question Generation Example 1"
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- text: "
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example_title: "Question Generation Example 2"
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- text: "
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example_title: "Question Generation Example 3"
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model-index:
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- name: lmqg/mt5-small-itquad
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@@ -70,8 +70,7 @@ model_path = 'lmqg/mt5-small-itquad'
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pipe = pipeline("text2text-generation", model_path)
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# Question Generation
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question = pipe(input_text)
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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_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) | default | 0.
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tags:
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- question generation
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widget:
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- text: "<hl> Dopo il 1971 <hl> , l' OPEC ha tardato ad adeguare i prezzi per riflettere tale deprezzamento."
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example_title: "Question Generation Example 1"
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- text: "L' individuazione del petrolio e lo sviluppo di nuovi giacimenti richiedeva in genere <hl> da cinque a dieci anni <hl> prima di una produzione significativa."
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example_title: "Question Generation Example 2"
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- text: "il <hl> Giappone <hl> è stato il paese più dipendente dal petrolio arabo."
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example_title: "Question Generation Example 3"
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model-index:
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- name: lmqg/mt5-small-itquad
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pipe = pipeline("text2text-generation", model_path)
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# Question Generation
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question = pipe('<hl> Dopo il 1971 <hl> , l' OPEC ha tardato ad adeguare i prezzi per riflettere tale deprezzamento.')
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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_itquad](https://huggingface.co/datasets/lmqg/qg_itquad) | default | 0.074 | 0.219 | 0.176 | 0.808 | 0.568 | [link](https://huggingface.co/lmqg/mt5-small-itquad/raw/main/eval/metric.first.sentence.paragraph_answer.question.lmqg_qg_itquad.default.json) |
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