数据集:
wmt16
警告:Common Crawl语料库数据存在问题( training-parallel-commoncrawl.tgz ):
我们已经联系了WMT组织者。
基于statmt.org的数据的翻译数据集。
不同年份的版本使用多种数据源。基础wmt允许您通过选择自己的数据/语言对来创建自定义数据集。可以按照以下步骤完成:
from datasets import inspect_dataset, load_dataset_builder
inspect_dataset("wmt16", "path/to/scripts")
builder = load_dataset_builder(
    "path/to/scripts/wmt_utils.py",
    language_pair=("fr", "de"),
    subsets={
        datasets.Split.TRAIN: ["commoncrawl_frde"],
        datasets.Split.VALIDATION: ["euelections_dev2019"],
    },
)
# Standard version
builder.download_and_prepare()
ds = builder.as_dataset()
# Streamable version
ds = builder.as_streaming_dataset()
 “验证”示例如下所示。
所有拆分之间的数据字段相同。
cs-en| name | train | validation | test | 
|---|---|---|---|
| cs-en | 997240 | 2656 | 2999 | 
@InProceedings{bojar-EtAl:2016:WMT1,
  author    = {Bojar, Ond
{r}ej  and  Chatterjee, Rajen  and  Federmann, Christian  and  Graham, Yvette  and  Haddow, Barry  and  Huck, Matthias  and  Jimeno Yepes, Antonio  and  Koehn, Philipp  and  Logacheva, Varvara  and  Monz, Christof  and  Negri, Matteo  and  Neveol, Aurelie  and  Neves, Mariana  and  Popel, Martin  and  Post, Matt  and  Rubino, Raphael  and  Scarton, Carolina  and  Specia, Lucia  and  Turchi, Marco  and  Verspoor, Karin  and  Zampieri, Marcos},
  title     = {Findings of the 2016 Conference on Machine Translation},
  booktitle = {Proceedings of the First Conference on Machine Translation},
  month     = {August},
  year      = {2016},
  address   = {Berlin, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {131--198},
  url       = {http://www.aclweb.org/anthology/W/W16/W16-2301}
}
 感谢 @thomwolf 和 @patrickvonplaten 添加了这个数据集。