nimaster/autonlp-data-devign_raw_test

---
languages:
- en
task_categories:
- text-classification

---
# AutoNLP Dataset for project: devign_raw_test

## Dataset Descritpion

This dataset has been automatically processed by AutoNLP for project devign_raw_test.

### Languages

The BCP-47 code for the dataset's language is en.

## Dataset Structure

### Data Instances

A sample from this dataset looks as follows:

```json
[
{
"text": "void ff_avg_h264_qpel16_mc32_msa ( uint8_t * dst , const uint8_t * src , ptrdiff_t stride ) { avc_lu[...]",
"target": 0
},
{
"text": "static void sd_cardchange ( void * opaque , bool load ) { SDState * sd = opaque ; qemu_set_irq ( sd [...]",
"target": 0
}
]
```

### Dataset Fields

The dataset has the following fields (also called "features"):

```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(num_classes=2, names=['0', '1'], 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 | 21188 |
| valid | 5298 |

原始信息汇总

AutoNLP Dataset Summary for devign_raw_test

Dataset Description

The dataset devign_raw_test has been automatically processed by AutoNLP. It is categorized under text-classification tasks and is primarily in English (BCP-47 code: en).

Dataset Structure

Data Instances

Each instance in the dataset contains:

• text: A string field containing the main text content.
• target: A classification label with two possible values, 0 and 1.

Dataset Fields

The dataset includes two fields:

• text: String data type.
• target: A classification label with num_classes=2 and class names [0, 1].

Dataset Splits

The dataset is divided into training and validation sets with the following sizes:

• train: 21188 samples.
• valid: 5298 samples.