README.md

---
dataset_info:
- config_name: default
  features:
  - name: utterance
    dtype: string
  - name: label
    dtype: int64
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  - name: train
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    num_examples: 431
  - name: test
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- config_name: intents
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  - name: tags
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  - name: regexp_full_match
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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`.