README.md

---

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](https://github.com/huggingface/transformers/tree/main/examples/pytorch/audio-classification)
- **Paper:** [Multilingual and Cross-Lingual Intent Detection from Spoken Data](https://arxiv.org/abs/2104.08524)
- **Total amount of disk used:** ca. 500 MB 

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:

```py

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

We show detailed information the example configurations `fr-FR` of the dataset.
All other configurations have the same structure.

### Data Instances

**fr-FR**

- Size of downloaded dataset files: 471 MB
- Size of the generated dataset: 300 KB
- Total amount of disk used: 471 MB


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,

}

```

### Data Fields
The data fields are the same among all splits.

- **path** (str): Path to the audio file
- **audio** (dict): Audio object including loaded audio array, sampling rate and path ot audio
- **transcription** (str): Transcription of the audio file
- **english_transcription** (str): English transcription of the audio file

- **intent_class** (int): Class id of intent
- **lang_id** (int): Id of language



### Data Splits

Every config only has the `"train"` split containing of *ca.* 600 examples.



## Dataset Creation





## Considerations for Using the Data



### Social Impact of Dataset



[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)



### Discussion of Biases



[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)



### Other Known Limitations



[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)



## Additional Information



### Dataset Curators



[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)



### Licensing Information



All datasets are licensed under the [Creative Commons license (CC-BY)](https://creativecommons.org/licenses/).



### 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](https://github.com/patrickvonplaten) for adding this dataset