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