| language: | |
| - en | |
| # AutoTrain Dataset for project: person-name-validity1 | |
| ## Dataset Description | |
| This dataset has been automatically processed by AutoTrain for project person-name-validity1. | |
| ### Languages | |
| The BCP-47 code for the dataset's language is en. | |
| ## Dataset Structure | |
| ### Data Instances | |
| A sample from this dataset looks as follows: | |
| ```json | |
| [ | |
| { | |
| "tokens": [ | |
| "divided" | |
| ], | |
| "tags": [ | |
| 0 | |
| ] | |
| }, | |
| { | |
| "tokens": [ | |
| "nusrat" | |
| ], | |
| "tags": [ | |
| 1 | |
| ] | |
| } | |
| ] | |
| ``` | |
| ### Dataset Fields | |
| The dataset has the following fields (also called "features"): | |
| ```json | |
| { | |
| "tokens": "Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)", | |
| "tags": "Sequence(feature=ClassLabel(num_classes=2, names=['0', '2'], id=None), length=-1, 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 | 2499 | | |
| | valid | 499 | | |