Datasetpublic

vlsb/autotrain-data-security-texts-classification-distilroberta

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;… See the full description on the dataset page: https://huggingface.co/datasets/vlsb/autotrain-data-security-texts-classification-distilroberta.

sourceHugging Faceupdated 4y agoView on Hugging Face

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Dataset Card

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:

json

[
  {
    "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"):

json

{
  "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