vlsb/autotrain-data-security-texts-classification-distilroberta
收藏Hugging Face2022-03-30 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/vlsb/autotrain-data-security-texts-classification-distilroberta
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资源简介：
---
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 |
提供机构：
vlsb
原始信息汇总
AutoTrain Dataset for project: security-texts-classification-distilroberta
数据集描述
该数据集是为项目“security-texts-classification-distilroberta”由AutoTrain自动处理的。
语言
数据集的语言BCP-47代码为unk。
数据集结构
数据实例
数据集中的样本示例如下：
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 Doppelgu00e4nging to Evade Detection The fileless code injectio[...]", "target": 1 } ]
数据集字段
数据集包含以下字段（特征）：
json { "text": "Value(dtype=string, id=None)", "target": "ClassLabel(num_classes=2, names=[irrelevant, relevant], id=None)" }
数据集分割
数据集被分割为训练集和验证集，分割大小如下：
| 分割名称 | 样本数量 |
|---|---|
| 训练集 | 780 |
| 验证集 | 196 |
