---
language:
- de
- en
- es
- fr
- it
- ja
- nl
- pt
- ru
- sv
- multilingual
configs:
- config_name: French
  data_files:
    - split: train
      path: "train/fr/train.tsv"
    - split: validation
      path: "valid/fr/valid.tsv"
    - split: test
      path: "test/fr/test.tsv"
- config_name: German
  data_files:
    - split: train
      path: "train/de/train.tsv"
    - split: validation
      path: "valid/de/valid.tsv"
    - split: test
      path: "test/de/test.tsv"
- config_name: English
  data_files:
    - split: train
      path: "train/en/train.tsv"
    - split: validation
      path: "valid/en/valid.tsv"
    - split: test
      path: "test/en/test.tsv"
- config_name: Spanish
  data_files:
    - split: train
      path: "train/es/train.tsv"
    - split: validation
      path: "valid/es/valid.tsv"
    - split: test
      path: "test/es/test.tsv"
- config_name: Italian
  data_files:
    - split: train
      path: "train/it/train.tsv"
    - split: validation
      path: "valid/it/valid.tsv"
    - split: test
      path: "test/it/test.tsv"
- config_name: Japanese
  data_files:
    - split: train
      path: "train/ja/train.tsv"
    - split: validation
      path: "valid/ja/valid.tsv"
    - split: test
      path: "test/ja/test.tsv"
- config_name: Dutch
  data_files:
    - split: train
      path: "train/nl/train.tsv"
    - split: validation
      path: "valid/nl/valid.tsv"
    - split: test
      path: "test/nl/test.tsv"
- config_name: Portuguese
  data_files:
    - split: train
      path: "train/pt/train.tsv"
    - split: validation
      path: "valid/pt/valid.tsv"
    - split: test
      path: "test/pt/test.tsv"
- config_name: Russian
  data_files:
    - split: train
      path: "train/ru/train.tsv"
    - split: validation
      path: "valid/ru/valid.tsv"
    - split: test
      path: "test/ru/test.tsv"
- config_name: Swedish
  data_files:
    - split: train
      path: "train/sv/train.tsv"
    - split: validation
      path: "valid/sv/valid.tsv"
    - split: test
      path: "test/sv/test.tsv"
---

> [!NOTE]
> Dataset origin: https://github.com/zhangmozhi/mrs/

# Multilingual Reply Suggestion (MRS)

MRS is a multilingual dataset for automatic reply suggestion. 
It is also an interesting benchmark for cross-lingual generalization.


# Citation

If you find MRS useful, please cite:
```
@inproceedings{zhang-2021-mrs,
    title = {A Dataset and Baselines for Multilingual Reply Suggestion},
    author = {Mozhi Zhang and Wei Wang and Budhaditya Deb and Guoqing Zheng and Milad Shokouhi and Ahmed Hassan Awadallah},
    booktitle = {Proceedings of the Association for Computational Linguistics},
    doi = "10.18653/v1/2021.acl-long.97",
    year = {2021}
}
```