darcy01/autotrain-data-opus-mt-en-zh_hanz
AutoTrain Dataset for project: opus-mt-en-zh_hanz Dataset Description This dataset has been automatically processed by AutoTrain for project opus-mt-en-zh_hanz. Languages The BCP-47 code for the dataset's language is en2zh. Dataset Structure Data Instances A sample from this dataset looks as follows: [ { "source": "And then I hear something.", "target": "\u63a5\u7740\u542c\u5230\u4ec0\u4e48\u52a8\u9759\u3002"… See the full description on the dataset page: https://huggingface.co/datasets/darcy01/autotrain-data-opus-mt-en-zh_hanz.
AutoTrain Dataset for project: opus-mt-en-zh_hanz
Dataset Description
This dataset has been automatically processed by AutoTrain for project opus-mt-en-zh_hanz.
Languages
The BCP-47 code for the dataset's language is en2zh.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"source": "And then I hear something.",
"target": "\u63a5\u7740\u542c\u5230\u4ec0\u4e48\u52a8\u9759\u3002",
"feat_en_length": 26,
"feat_zh_length": 9
},
{
"source": "A ghostly iron whistle blows through the tunnels.",
"target": "\u9b3c\u9b45\u7684\u54e8\u58f0\u5439\u8fc7\u96a7\u9053\u3002",
"feat_en_length": 49,
"feat_zh_length": 10
}
]Dataset Fields
The dataset has the following fields (also called "features"):
{
"source": "Value(dtype='string', id=None)",
"target": "Value(dtype='string', id=None)",
"feat_en_length": "Value(dtype='int64', id=None)",
"feat_zh_length": "Value(dtype='int64', id=None)"
}Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow: