README.md

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

---
# AutoTrain Dataset for project: 2ch-text-classification

## Dataset Descritpion

This dataset has been automatically processed by AutoTrain for project 2ch-text-classification.

### 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": "\u0434\u0430 \u043d\u0435 \u0431\u0438\u0437\u043d\u0435\u0441 \u0442\u0430\u043c \u043f\u0440\u043e\u0434\u0430\u0435\u0442\u0441\u044f, \u0430 \u0440\u0435\u043c\u043e\u043d\u0442 \u0432 \u043f\u043e\u043c\u0435\u0449\u0435\u043d\u0438\u0438 \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u0435, \u043f\u043e \u0431\u043e\u043b\u044c\u0448\u0435\u0439 \u0447\u0430\u0441\u0442\u0438. \u0431\u0438\u0437\u043d\u0435\u0441\u0430 \u043a \u043f\u0440\u043e\u0434\u0430\u0436\u0435 -[...]",
    "target": 0
  },
  {
    "text": "\u041d\u0443 \u0443\u0431\u043e\u0440\u043a\u0430 \u0443\u043b\u0438\u0446 \u043e\u0442 \u0441\u043d\u0435\u0433\u0430 \u044d\u0442\u043e \u0443\u0436\u0435 \u043d\u0435\u043f\u043b\u043e\u0445\u043e . \u041d\u0435 \u0432\u043e \u0432\u0441\u0435\u0445 \u0433\u043e\u0440\u043e\u0434\u0430\u0445 \u0434\u0430\u0436\u0435 \u044d\u0442\u043e \u0445\u043e\u0440\u043e\u0448\u043e \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u043e\u0432\u0430\u043d\u043e. \u0418 \u043f\u0440\u0435\u0434\u0432\u044b\u0431[...]",
    "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=['0.0', '1.0'], 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        | 11528 |
| valid        | 2884 |