---
title: seahorse-xxl-q5
canonical_url: "https://www.modelscope.cn/models/google/seahorse-xxl-q5"
md_url: "https://www.modelscope.cn/models/google/seahorse-xxl-q5.md"
repository: google/seahorse-xxl-q5
last_updated: 2025-04-21
license: cc-by-4.0
pipeline_tag: text2text-generation
tasks:
  - text2text-generation
model_type:
  - mt5
architectures:
  - MT5ForConditionalGeneration
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 417
stars: 0
---

# seahorse-xxl-q5

> seahorse-xxl-q5 - google 在 ModelScope 开源的模型。This is model based on mT5-XXL that predicts a binary label for a given article and summary for Q5 (main idea(s)), as defined in the SEAHORSE paper (Clark et al., 2023).

google/seahorse-xxl-q5 是 ModelScope 魔搭社区上的text2text-generation模型，采用 cc-by-4.0 许可。

- **Repository**: google/seahorse-xxl-q5
- **License**: cc-by-4.0
- **Tasks**: text2text-generation
- **Downloads**: 417
- **Stars**: 0
- **Last updated**: 2025-04-21

Source: https://www.modelscope.cn/models/google/seahorse-xxl-q5

---

This is model based on mT5-XXL that predicts a binary label for a given article and summary for Q5 (main idea(s)), 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", where ARTICLE is the document being summarized and SUMMARY is the candidate summary.

There is also a smaller (mT5-L) 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}
}
```

Contact: seahorse-authors@google.com