Transformers
Safetensors
mt5
text2text-generation
data-to-text
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@@ -26,6 +26,8 @@ StATA takes as input a linearized table and an output verbalisation seperated by
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  The original file can be found [here](https://github.com/google-research/url-nlp/tree/main/tata).
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  # Performance
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  It achieves an RMSE loss of 0.41 on the dev split, and a Pearson correlation of 0.23 with human evaluations on the test split ("attributable" column of [this dataset](https://huggingface.co/datasets/adenhaus/stata)).
 
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  The original file can be found [here](https://github.com/google-research/url-nlp/tree/main/tata).
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+ Paper: https://www.arxiv.org/abs/2503.23204
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  # Performance
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  It achieves an RMSE loss of 0.41 on the dev split, and a Pearson correlation of 0.23 with human evaluations on the test split ("attributable" column of [this dataset](https://huggingface.co/datasets/adenhaus/stata)).