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  **Dataset**
 
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  ToTTo is an open-domain English Table-to-Text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table, a set of highlighted table cells, page title and section title as inputs, it produces a one-sentence description summarising the key details from the inputs. This dataset can be taken from hugging face (https://huggingface.co/datasets/totto).
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  **Model**
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- This model is pre-trained on the Text-to-Text "t5-base" model with the complete train dataset split (Around 120,761 examples).
 
 
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  **Dataset**
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  ToTTo is an open-domain English Table-to-Text dataset with over 120,000 training examples that proposes a controlled generation task: given a Wikipedia table, a set of highlighted table cells, page title and section title as inputs, it produces a one-sentence description summarising the key details from the inputs. This dataset can be taken from hugging face (https://huggingface.co/datasets/totto).
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  **Model**
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+ This model is pre-trained on the Text-to-Text "t5-base" model with the complete train dataset split (Around 120,761 examples). During the fine-tuning of the ToTTo dataset, it has been evaluated with bert-score metric for few examples from validation split.