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---
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`. |