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@@ -41,7 +41,7 @@ You can play with the model using the inference API, the text input format shoul
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  `text_input = "{QUESTION} </s> {CONTEXT}"`
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- where CONTEXT is a structured table that is linearised this way:
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  `CONTEXT = "name [ The Eagle ] , eatType [ coffee shop ] , food [ French ] , priceRange [ £ 2 0 - 2 5 ]"`
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@@ -54,7 +54,7 @@ The model was trained on synthetic data as described in [Data-QuestEval: A Refer
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  ```bibtex
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  @article{rebuffel2021data,
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  title={Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation},
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- author={Rebuffel, Cl{\\'e}ment and Scialom, Thomas and Soulier, Laure and Piwowarski, Benjamin and Lamprier, Sylvain and Staiano, Jacopo and Scoutheeten, Geoffrey and Gallinari, Patrick},
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  journal={arXiv preprint arXiv:2104.07555},
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  year={2021}
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  }
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  `text_input = "{QUESTION} </s> {CONTEXT}"`
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+ where `CONTEXT` is a structured table that is linearised this way:
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  `CONTEXT = "name [ The Eagle ] , eatType [ coffee shop ] , food [ French ] , priceRange [ £ 2 0 - 2 5 ]"`
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  ```bibtex
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  @article{rebuffel2021data,
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  title={Data-QuestEval: A Referenceless Metric for Data to Text Semantic Evaluation},
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+ author={Rebuffel, Cl{\\\\'e}ment and Scialom, Thomas and Soulier, Laure and Piwowarski, Benjamin and Lamprier, Sylvain and Staiano, Jacopo and Scoutheeten, Geoffrey and Gallinari, Patrick},
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  journal={arXiv preprint arXiv:2104.07555},
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  year={2021}
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  }