README.md

---
license: cc0-1.0
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: sentence_id
    dtype: string
  - name: sentence
    dtype: string
  - name: up_votes
    dtype: int64
  - name: down_votes
    dtype: int64
  - name: age
    dtype: string
  - name: gender
    dtype: string
  - name: accents
    dtype: string
  - name: locale
    dtype: string
  - name: phonemes_ipa
    sequence: string
  splits:
  - name: train
    num_bytes: 16206510224.846
    num_examples: 353701
  - name: test
    num_bytes: 648632431.768
    num_examples: 15893
  download_size: 14074118611
  dataset_size: 16855142656.614
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- automatic-speech-recognition
language:
- es
pretty_name: Common Voice Scripted Speech 23.0 - Spanish
---

---
license: cc0-1.0
---

## Dataset Description

### Dataset Summary

This dataset is a modified version of [Common Voice Scripted Speech 23.0 - Spanish](https://datacollective.mozillafoundation.org/datasets/cmflnuzw51ddgmwjkxpm9z1lw). We added a new `phonemes_ipa` column, which contains phonemized sentences in the IPA format. 
We use [babygruut](https://github.com/bookbot-hive/babygruut) to phonemize the sentences. This large-scale dataset provides a broad foundation of Spanish speech. It contains 1,672,761 utterances, representing 449 hours of validated speech from over 26,800 speakers.

### Languages

Spanish

### Sample Instance

```py
{'audio': {'path': 'common_voice_es_34234943.mp3',
  'array': array([ 0.00000000e+00, -8.82040448e-12, -4.73878575e-12, ...,
         4.23646561e-05, -5.23740928e-05, -7.48483217e-05]),
  'sampling_rate': 32000},
 'sentence_id': 'c75a3aa8bd5b71566c5a1b5764118f616db4640754021def8bc8fc75e64e74e8',
 'sentence': 'Un domingo por la mañana, un paciente llama a Giovanni por una urgencia.',
 'up_votes': 4,
 'down_votes': 0,
 'age': 'twenties',
 'gender': 'male_masculine',
 'accents': 'México',
 'locale': 'es',
 'phonemes_ipa': ['u n', 'd o m i n g o', 'p o ɾ', 'l a', 'm a ɲ a n a', 'u n',
                  'p a θ ʝ e n t e', 'ʎ a m a', 'a', 'x ʝ o b a n n i', 'p o ɾ',
                  'u n a', 'u ɾ x e n θ ʝ a']}
```

The following describe the information on each column in the dataset:

- `audio`: Contains the audio data including the file path, waveform array, and sampling rate (32kHz)
- `sentence_id`: Unique identifier for the sentence/utterance
- `sentence`: Text transcription of the spoken content in Spanish
- `up_votes`: Number of positive community validation votes
- `down_votes`: Number of negative community validation votes
- `age`: Age group of the speaker (e.g., twenties, thirties, etc.)
- `gender`: Speaker gender information (e.g., male_masculine, female_feminine)
- `accents`: Accent/dialect classification (includes various Spanish-speaking regions)
- `locale`: Language locale identifier (es for Spanish)
- `phonemes_ipa`: Phonetic transcription using International Phonetic Alphabet (IPA) symbols, segmented by words

### Data Splits

| Split | Number of examples |
| :---- | -----------------: |
| Train |          1,506,323 |
| Test  |             83,219 |
| Dev   |             83,219 |

**Total**: 1,672,761 utterances (~449 hours of validated speech)

### Use Cases

This dataset is ideal for:

- Training Spanish ASR models with broad dialectal coverage
- Research on accent-robust speech recognition
- Colombian Spanish speech technology development
- Cross-dialectal Spanish language model training
- Speech-to-text applications for Spanish-speaking markets