Update README.md

README.md

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 license: cc-by-4.0
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+This is model based on mT5-L that predicts a binary label for a given article and summary for Q4 (attribution), as defined in the [SEAHORSE paper](https://arxiv.org/abs/2305.13194)  (Clark et al., 2023).
+
+It is trained similarly to the [TRUE paper (Honovich et al, 2022)](https://arxiv.org/pdf/2204.04991.pdf) on human ratings from the SEAHORSE dataset in 6 languages:
+- German
+- English
+- Spanish
+- Russian
+- Turkish
+- Vietnamese
+
+The input format for the model is: "premise: ARTICLE hypothesis: SUMMARY".
+
+There is also an XXL version of this model, as well as metrics trained for each of the other 5 dimensions described in the original paper.
+
+The full citation for the SEAHORSE paper is:
+```
+@misc{clark2023seahorse,
+      title={SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation}, 
+      author={Elizabeth Clark and Shruti Rijhwani and Sebastian Gehrmann and Joshua Maynez and Roee Aharoni and Vitaly Nikolaev and Thibault Sellam and Aditya Siddhant and Dipanjan Das and Ankur P. Parikh},
+      year={2023},
+      eprint={2305.13194},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```