vlsb/autotrain-security-texts-classification-distilroberta-688220764
Text Classification
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_data_files
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string | _format_columns
sequence | _format_kwargs
dict | _format_type
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|---|---|---|---|---|---|---|---|
[
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AutoTrain Dataset for project: security-texts-classification-distilroberta
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project security-texts-classification-distilroberta.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "Netgear launches Bug Bounty Program for Hacker; Offering up to $15,000 in Rewards It might be the ea[...]",
"target": 0
},
{
"text": "Popular Malware Families Using 'Process Doppelg\u00e4nging' to Evade Detection The fileless code injectio[...]",
"target": 1
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['irrelevant', 'relevant'], 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 | 780 |
| valid | 196 |
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