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---
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
- name: HR2
num_bytes: 583042048.12
num_examples: 2479
download_size: 2300127980
dataset_size: 2326167745.139
configs:
- config_name: default
data_files:
- split: SR1
path: data/SR1-*
- split: SR2
path: data/SR2-*
- split: HR1
path: data/HR1-*
- split: HR2
path: data/HR2-*
---
# Mak na Konac - A multi-reference Speech-to-text Benchmark for Croatian and Serbian
The data set consists of transcribed spontaneous speech samples from four sources
(two Croatian and two Serbian) with a total duration of about 20 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},
}
``` |