| | --- |
| | 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}, |
| | } |
| | ``` |
