---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 16000
  - name: id
    dtype: string
  splits:
  - name: SR1
    num_bytes: 576956702.051
    num_examples: 3107
  - name: SR2
    num_bytes: 560538614.256
    num_examples: 2737
  - name: HR1
    num_bytes: 605630380.712
    num_examples: 2612
  download_size: 1718332618
  dataset_size: 1743125697.019
configs:
- config_name: default
  data_files:
  - split: SR1
    path: data/SR1-*
  - split: SR2
    path: data/SR2-*
  - split: HR1
    path: data/HR1-*
---





# 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},
}
```