Text2Text Generation
Transformers
PyTorch
mt5
Inference Endpoints
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- This is model based on mT5-L that predicts a binary label for a given article and summary for Q6 (concreteness), as defined in the [SEAHORSE paper](https://arxiv.org/abs/2305.13194) (Clark et al., 2023).
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  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:
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  - German
 
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+ This is model based on mT5-L that predicts a binary label for a given article and summary for Q6 (conciseness), as defined in the [SEAHORSE paper](https://arxiv.org/abs/2305.13194) (Clark et al., 2023).
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  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:
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  - German