README.md

---
dataset_info:
  features:
  - name: utterance
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 91069
    num_examples: 539
  download_size: 32800
  dataset_size: 91069
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
task_categories:
- text-classification
language:
- ru
---

# Russian minds14

This is a text classification dataset. It is intended for machine learning research and experimentation.

This dataset is obtained via formatting another publicly available data to be compatible with our [AutoIntent Library](https://deeppavlov.github.io/AutoIntent/index.html).

## Usage

It is intended to be used with our [AutoIntent Library](https://deeppavlov.github.io/AutoIntent/index.html):

```python
from autointent import Dataset

minds14_ru = Dataset.from_datasets("AutoIntent/minds14_ru")
```

## Source

This dataset is taken from `PolyAI/minds14` and formatted with our [AutoIntent Library](https://deeppavlov.github.io/AutoIntent/index.html):

```python
from datasets import load_dataset
from autointent import Dataset

def convert_ruminds14(minds14_train):
    utterances = []

    for batch in minds14_train.iter(batch_size=16, drop_last_batch=False):
        for txt, intent_id in zip(batch["transcription"], batch["intent_class"], strict=False):
            utterances.append({"utterance": txt, "label": intent_id})

    return Dataset.from_dict({"train": utterances})

ruminds14 = load_dataset("PolyAI/minds14", "ru-RU", trust_remote_code=True)
ruminds14_converted = convert_ruminds14(ruminds14["train"])
```