metadata

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:

[
  {
    "text": "\u041f\u0440\u0435\u0441\u0441\u043b\u0443\u0436\u0431\u0430 \u041b\u0443\u043a\u0430\u0448\u0435\u043d\u043a\u0430 \u043f\u0438\u0448\u0435, \u0449\u043e \u0432\u0436\u0435 \u0454 \u043f\u0440\u043e\u0454\u043a\u0442 \u043f\u0440\u0438\u0439\u043d\u044f\u0442\u043d\u043e\u0433\u043e \u0432\u0430\u0440\u0456\u0430\u043d\u0442\u0443 \u0440\u043e\u0437\u0432'\u044f\u0437\u043a\u0438 \u0441\u0438\u0442\u0443\u0430\u0446\u0456\u0457 \u0437 \u041f\u0412\u041a \"\u0412\u0430\u0433\u043d\u0435\u0440\", \u0437 \u0433\u0430\u0440\u0430\u043d\u0442\u0456\u044f\u043c\u0438 \u0431\u0435\u0437\u043f\u0435\u043a\u0438 \u0434\u043b\u044f \u0457\u0457 \u043d\u0430\u0439\u043c\u0430\u043d\u0446\u0456\u0432.   \u0412\u043e\u043d\u0438 \u0434\u043e\u043c\u043e\u0432\u0438\u043b\u0438\u0441\u044c \"\u043f\u0440\u043e \u043d\u0435\u043f\u0440\u0438\u043f\u0443\u0441\u0442\u0438\u043c\u0456\u0441\u0442\u044c \u0440\u043e\u0437\u0432'\u044f\u0437\u0443\u0432\u0430\u043d\u043d\u044f \u043a\u0440\u0438\u0432\u0430\u0432\u043e\u0457 \u0431\u0456\u0439\u043d\u0456 \u043d\u0430 \u0442\u0435\u0440\u0438\u0442\u043e\u0440\u0456\u0457 \u0440\u043e\u0441\u0456\u0457\"",
    "target": 0
  },
  {
    "text": "\u041a\u0430\u0434\u0438\u0440\u0456\u0432\u0446\u0456 \u0437 \"\u0410\u0445\u043c\u0430\u0442\u0443\" \u0437\u0430\u0457\u0445\u0430\u043b\u0438 \u0443 \u0420\u043e\u0441\u0442\u043e\u0432-\u043d\u0430-\u0414\u043e\u043d\u0443, \u043f\u043e\u0432\u0456\u0434\u043e\u043c\u043b\u044f\u044e\u0442\u044c \u0440\u043e\u0441\u0417\u041c\u0406.  \ud83d\udc4d\ud83d\udc4d\ud83d\udc4d",
    "target": 1
  }
]

Dataset Fields

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

{
  "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	64
valid	17