task_categories:automatic-speech-recognition annotations_creators:sdeering language_creators:google translate multilinguality:monolingual source_datasets:original language:en license:mit size_categories:1K<n<10K format:parquet modality:audio modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
annotations_creators:
- sdeering
language_creators:
- google translate
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- automatic-speech-recognition
pretty_name: Stock Market ASX Audio
dataset_info:
  features:
  - name: sentence_id
    dtype: string
  - name: voice_id
    dtype: string
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sentence
    dtype: string
  splits:
  - name: train
    num_bytes: 53509662.56
    num_examples: 2329
  download_size: 51383695
  dataset_size: 53509662.56
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for Stock Market ASX Audio

Contains audios for every listed company on the Australian Stock Exchange (ASX). The dataset contains 2329 audio files of people saying the name of the company.

### Data Fields

`sentence_id` (`string`): An id for the sentence used for the recording.

`voice_id` (`string`): An id for which client (voice) made the recording.

`audio` (`dict`): A dictionary containing the path to the downloaded audio file.

`sentence` (`string`): The sentence the user was prompted to speak.

