task_categories: | |
- text-classification | |
# 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 | | |