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 | | |