README.md

metadata

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.

Usage

It is intended to be used with our AutoIntent Library:

from autointent import Dataset

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

Source

This dataset is taken from PolyAI/minds14 and formatted with our AutoIntent Library:

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