---
dataset_info:
- config_name: default
  features:
  - name: utterance
    dtype: string
  - name: label
    dtype: int64
  splits:
  - name: train
    num_bytes: 40588
    num_examples: 431
  - name: test
    num_bytes: 10031
    num_examples: 108
  download_size: 25385
  dataset_size: 50619
- config_name: intents
  features:
  - name: id
    dtype: int64
  - name: name
    dtype: 'null'
  - name: tags
    sequence: 'null'
  - name: regexp_full_match
    sequence: 'null'
  - name: regexp_partial_match
    sequence: 'null'
  - name: description
    dtype: 'null'
  splits:
  - name: intents
    num_bytes: 280
    num_examples: 14
  download_size: 2934
  dataset_size: 280
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
- config_name: intents
  data_files:
  - split: intents
    path: intents/intents-*
task_categories:
- text-classification
language:
- en
---

# 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 = Dataset.from_hub("AutoIntent/minds14")
```

## Source

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

Initial dataset contains train fold only, so our test fold is obtained via stratified splitting with `test_size=0.2`.