---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: id
    dtype: string
  splits:
  - name: train
    num_bytes: 1592138827.384
    num_examples: 8456
  download_size: 1717875561
  dataset_size: 1592138827.384
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---





# Mak na Konac - A multi-reference Speech-to-text Benchmark for Croatian and Serbian

The data set consists of transcribed spontaneous speech samples from three sources 
(one Croatian and two Serbian) with a total duration of about 15 hours.

At this time, the multi-reference gold truth transcriptions are not publicly available.
This submission only includes the audio and primary key.


## Citation and more details

```

@inproceedings{Samardzic2024,
  author    = {Tanja Samardzic and Peter Rupnik and Mirjana Starović and Nikola Ljubešić},
  title     = {Mak na konac: A multi-reference Speech-to-text Benchmark for Croatian and Serbian},
  booktitle = {Proceedings of the Language Technologies and Digital Humanities 2024 conference (JT-DH 2024)},
  year      = {2024},
  address   = {Ljubljana, Slovenia},
  month     = sep,
  day       = {19--20},
}
```