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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | a801de8892cee8df | [
"target",
"text"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: compliance
Dataset Description
This dataset has been automatically processed by AutoTrain for project compliance.
Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "Welcome back Abhishek! What can I do to help? ",
"target": 0
},
{
"text": "Hi , I am calling from ABC finance. I would like to inform you that you are eligible for a Personal Loan",
"target": 0
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['Negative', 'Positive'], 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 | 31 |
| valid | 9 |
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