---
dataset_info:
- config_name: female
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  - name: speaker_id
    dtype: int64
  splits:
  - name: train
    num_bytes: 1928460472.968
    num_examples: 3921
  download_size: 1625565296
  dataset_size: 1928460472.968
- config_name: male
  features:
  - name: audio
    dtype: audio
  - name: text
    dtype: string
  - name: speaker_id
    dtype: int64
  splits:
  - name: train
    num_bytes: 844151626.352
    num_examples: 1818
  download_size: 707569029
  dataset_size: 844151626.352
configs:
- config_name: female
  data_files:
  - split: train
    path: female/train-*
- config_name: male
  data_files:
  - split: train
    path: male/train-*
---
# Dataset Card for "google-argentinian-spanish"
This data set contains transcribed high-quality audio of random Spanish sentences recorded by volunteers in Buenos Aires, Argentina. The data set consists of wave files, and a TSV file (line_index.tsv). The file line_index.tsv contains a anonymized FileID and the transcription of audio in the file.

The data set also contains recordings of simple weather messages recorded in Argentinian Spanish (90 messages), and Peninsular Spanish (90 messages).

The data set has been manually quality checked, but there might still be errors.

Please report any issues in the following issue tracker on GitHub. https://github.com/googlei18n/language-resources/issues

See LICENSE file for license information.

Copyright 2018, 2019 Google, Inc. 


### Citation
```
  @inproceedings{guevara-rukoz-etal-2020-crowdsourcing,
    title = {{Crowdsourcing Latin American Spanish for Low-Resource Text-to-Speech}},
    author = {Guevara-Rukoz, Adriana and Demirsahin, Isin and He, Fei and Chu, Shan-Hui Cathy and Sarin, Supheakmungkol and Pipatsrisawat, Knot and Gutkin, Alexander and Butryna, Alena and Kjartansson, Oddur},
    booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},
    year = {2020},
    month = may,
    address = {Marseille, France},
    publisher = {European Language Resources Association (ELRA)},
    url = {https://www.aclweb.org/anthology/2020.lrec-1.801},
    pages = {6504--6513},
    ISBN = {979-10-95546-34-4},
  }
```