tsc.yaml

# Copyright 2021 The MLX Contributors
#
# SPDX-License-Identifier: Apache-2.0
id: tensorflow-speech-commands
name: TensorFlow Speech Commands
description: A collection of short clips of spoken English words.
version: 1.0.1
created: 2020-03-17
updated: 2020-03-17
format:
  - type: WAV
    url: https://en.wikipedia.org/wiki/WAV
domain: Audio

# Information about the entity that makes the data set available
provider:
  name: Data Asset eXchange
  url: https://developer.ibm.com/exchanges/data/all/speech-commands/

# identifies where the data set is stored and how it is stored (REQUIRED)
repository:
  type: HTTP
  url: https://dax-cdn.cdn.appdomain.cloud/dax-tensorflow-speech-commands/1.0.1/tensorflow-speech-commands.tar.gz
  mime_type: application/x-tar
  sha_512: 1c4b41d9f719454f4155b4540e8aec0b1c5bfd555974f4e9e2253dd4e52b395ecc239f26a16a86ef047d1aac78a9ac1fe41f9c559a1d3478d951e4f078bb0fb8
  size: 1.39G

# REQUIRED; data set license information
license:
  commercial: false
  name: CC BY 4.0
  url: https://creativecommons.org/licenses/by/4.0/

# REQUIRED; describes relevant files in the data set archive
content:
  - file_name: TODO
    description: TODO
    records:
    size:
    type: WAV
    mime_type: audio/wav

# OPTIONAL; Identifies where the data set was obtained from
source:
  name: The audio clips were originally collected by Google. Recorded by volunteers in uncontrolled locations around the world.
  url: https://ai.googleblog.com/2017/08/launching-speech-commands-dataset.html

# OPTIONAL; but recommended
seo_tags:
  - Audio
  - Feature Extraction
  - Speech

# OPTIONAL; assets that complement this data set, e.g. notebooks
related_assets:
  - name: Explore the data
    description: Data preview and glossary
    url: https://dax-cdn.cdn.appdomain.cloud/dax-tensorflow-speech-commands/1.0.1/data-preview/index.html
  - name: Example notebook
    description: Example notebook for the TensorFlow Speech Commands data set
    mime_type: text/html
    url: https://dataplatform.cloud.ibm.com/analytics/notebooks/v2/652f0257-1e58-4e63-a7e7-0e079c9f88a1/view?access_token=cfdcca6828a2cc42d4d8364757ce9f26c68fe2ca87fdb2d0ccd3977b43ae6640

# OPTIONAL; url for the markdown file which describes the asset
readme_url: https://raw.githubusercontent.com/machine-learning-exchange/katalog/main/dataset-samples/tsc/tsc.md