File size: 1,878 Bytes
52913b6 35657f8 4d8e787 52913b6 35657f8 52913b6 35657f8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
---
task_categories:
- text-classification
---
# AutoTrain Dataset for project: ukrainian-telegram-sentiment-analysis
## Dataset Description
This dataset has been automatically processed by AutoTrain for project ukrainian-telegram-sentiment-analysis.
### 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": "\u0421\u043e\u0432\u043e\u043a",
"target": 1
},
{
"text": "\u0422\u0440\u0430\u043d\u0448 \u0434\u043e\u043f\u043e\u043c\u043e\u0433\u0438 \u0432\u043a\u043b\u044e\u0447\u0430\u0442\u0438\u043c\u0435: - 4 HIMARS \u0456 \u0431\u043e\u0454\u043f\u0440\u0438\u043f\u0430\u0441\u0438 \u0434\u043e \u043d\u0438\u0445 - 1000 \u0441\u043d\u0430\u0440\u044f\u0434\u0456\u0432 \u00ab\u0432\u0438\u0441\u043e\u043a\u043e\u0442\u043e\u0447\u043d\u043e\u0457\u00bb 155-\u043c\u043c \u0430\u0440\u0442\u0438\u043b\u0435\u0440\u0456\u0457 - \u0442\u0440\u0438 \u0442\u0430\u043a\u0442\u0438\u0447\u043d\u0456 \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0456\u043b\u0456 - \u043f\u0456\u0434\u0440\u0438\u0432\u043d\u0456 \u0431\u043e\u0454\u043f\u0440\u0438\u043f\u0430\u0441\u0438 - \u043a\u043e\u043d\u0442\u0440-\u0431\u0430\u0442\u0430\u0440\u0435\u0439\u043d\u0456 \u0441\u0438\u0441\u0442\u0435\u043c\u0438 - \u0437\u0430\u043f\u0447\u0430\u0441\u0442\u0438\u043d\u0438.",
"target": 1
}
]
```
### Dataset Fields
The dataset has the following fields (also called "features"):
```json
{
"text": "Value(dtype='string', id=None)",
"target": "ClassLabel(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 | 2399 |
| valid | 601 |
|