metadata

annotations_creators:
  - expert-generated
  - crowdsourced
  - machine-generated
language_creators:
  - crowdsourced
  - expert-generated
languages:
  - en
  - en-GB
  - en-US
  - en-AU
  - fr
  - it
  - es
  - pt
  - de
  - nl
  - ru
  - pl
  - cs
  - ko
  - zh
licenses:
  - cc-by-4.0
multilinguality:
  - multilingual
pretty_name: MInDS-14
size_categories:
  - 10K<n<100K
task_categories:
  - automatic-speech-recognition
  - speech-processing
task_ids:
  - speech-recognition

MInDS-14

Dataset Description

Fine-Tuning script: research-projects/xtreme-s
Paper: Multilingual and Cross-Lingual Intent Detection from Spoken Data
Total amount of disk used: ca. 5 GB

MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties.

Example

MInDS-14 can be downloaded and used as follows:

from datasets import load_dataset

minds_14 = load_dataset("PolyAI/minds14", "fr-FR") # for French
# to download all data for multi-lingual fine-tuning uncomment following line
# minds_14 = load_dataset("PolyAI/all", "all")

# see structure
print(minds_14)

# load audio sample on the fly
audio_input = minds_14["train"][0]["audio"]  # first decoded audio sample
intent_class = minds_14["train"][0]["intent_class"]  # first transcription
intent = minds_14["train"].features["intent_class"].names[intent_class]

# use audio_input and language_class to fine-tune your model for audio classification

Dataset Structure

An example of a datainstance of the config fr-FR looks as follows:

{ "path": "/home/patrick/.cache/huggingface/datasets/downloads/extracted/3ebe2265b2f102203be5e64fa8e533e0c6742e72268772c8ac1834c5a1a921e3/fr-FR~~ADDRESS/response_4.wav", "audio": { "path": "/home/patrick/.cache/huggingface/datasets/downloads/extracted/3ebe2265b2f102203be5e64fa8e533e0c6742e72268772c8ac1834c5a1a921e3/fr-FR~~ADDRESS/response_4.wav", "array": array( [0.0, 0.0, 0.0, ..., 0.0, 0.00048828, -0.00024414], dtype=float32 ), "sampling_rate": 8000, }, "transcription": "je souhaite changer mon adresse", "english_transcription": "I want to change my address", "intent_class": 1, "lang_id": 6, }

Dataset Creation

Considerations for Using the Data

Additional Information

Dataset Curators

More Information Needed

Licensing Information

All datasets are licensed under the Creative Commons license (CC-BY).

Citation Information

@article{DBLP:journals/corr/abs-2104-08524,
  author    = {Daniela Gerz and
               Pei{-}Hao Su and
               Razvan Kusztos and
               Avishek Mondal and
               Michal Lis and
               Eshan Singhal and
               Nikola Mrksic and
               Tsung{-}Hsien Wen and
               Ivan Vulic},
  title     = {Multilingual and Cross-Lingual Intent Detection from Spoken Data},
  journal   = {CoRR},
  volume    = {abs/2104.08524},
  year      = {2021},
  url       = {https://arxiv.org/abs/2104.08524},
  eprinttype = {arXiv},
  eprint    = {2104.08524},
  timestamp = {Mon, 26 Apr 2021 17:25:10 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-2104-08524.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Contributions

Thanks to @patrickvonplaten for adding this dataset