| language: | |
| - en | |
| - zh | |
| task_categories: | |
| - translation | |
| # 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: | |
| ```json | |
| [ | |
| { | |
| "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"): | |
| ```json | |
| { | |
| "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: | |
| | Split name | Num samples | | |
| | ------------ | ------------------- | | |
| | train | 16350 | | |
| | valid | 4088 | | |