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Datasets:
avramandrei
/
morovoc

Tasks:
Audio Classification
Modalities:
Audio
Formats:
parquet
Languages:
Romanian
Size:
10K - 100K
Tags:
dialect
political
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files
xet
Community
1
morovoc
File size: 2,174 Bytes
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---
license: mit
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
  - split: test
    path: data/test-*
dataset_info:
  features:
  - name: record_id
    dtype: int32
  - name: dialect
    dtype:
      class_label:
        names:
          '0': moldavian
          '1': romanian
  - name: gender
    dtype:
      class_label:
        names:
          '0': female
          '1': male
  - name: age
    dtype:
      class_label:
        names:
          '0': 10-20
          '1': 20-30
          '2': 30-40
          '3': 40-50
          '4': 50-60
          '5': 50-70
          '6': 60-70
          '7': 70-80
          '8': 80-90
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: sr
    dtype: int32
  splits:
  - name: train
    num_bytes: 18646895232.952
    num_examples: 77638
  - name: validation
    num_bytes: 1421850967.4
    num_examples: 5348
  - name: test
    num_bytes: 1129435874.736
    num_examples: 53485348
  download_size: 21519950558
  dataset_size: 21198182075.088
task_categories:
- audio-classification
language:
- ro
tags:
- dialect
- political
size_categories:
- 10K<n<100K
---

# MoRoVoc

MoRoVoc is a dataset that contains audio recordings with the following metadata:
- **record_id**: Unique identifier for each record
- **dialect**: Dialect/language variant of the speaker (i.e., either Romanian or Moldavian)
- **gender**: Gender of the speaker
- **age**: Age range of the speaker
- **audio**: Audio file (WAV format)
- **sr**: Sample rate of the audio

You can read more about the dataset in the following paper: `work in progress`.

## Dataset Structure

- **Train**: 77638 samples
- **Validation**: 5348 samples
- **Test**: 5348 samples

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("avramandrei/morovoc")

# Access the splits
train_data = dataset['train']
valid_data = dataset['validation']
test_data = dataset['test']

# Access a sample
sample = train_data[0]
audio_array = sample['audio']['array']
sampling_rate = sample['audio']['sampling_rate']
```

## Citation
```
Work in progress
```