metadata
task_categories:
- text-classification
AutoTrain Dataset for project: bert-base-uncased
Dataset Description
This dataset has been automatically processed by AutoTrain for project bert-base-uncased.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"feat_Unnamed: 0": 922,
"feat_idx": 922,
"text": "is it hokey ",
"target": 0
},
{
"feat_Unnamed: 0": 912,
"feat_idx": 912,
"text": "'n safe as to often play like a milquetoast movie of the week blown up for the big screen ",
"target": 0
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"feat_Unnamed: 0": "Value(dtype='int64', id=None)",
"feat_idx": "Value(dtype='int64', id=None)",
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['0', '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 | 799 |
| valid | 201 |