--- extra_gated_prompt: > Use of this dataset for commercial purposes is strictly prohibited. Please provide your real details when requesting access. The owner of the dataset reserves the right to reject any request without explanation. extra_gated_fields: Name: text Surname: text Organisation: text Position: text Institutional email: text Country: country Request date: date_picker I want to use this dataset for: type: select options: - Research - Education - label: Other value: other I agree to use this dataset for non-commercial use ONLY: checkbox I acknowledge that the owner of the dataset may reject my request without explanation: checkbox dataset_info: features: - name: audio dtype: audio - name: transcript dtype: string - name: no_punct dtype: string - name: duration_sec dtype: float64 - name: narrator dtype: string - name: narrator_gender dtype: string splits: - name: train num_bytes: 4052904878.121 num_examples: 4441 download_size: 3430965703 dataset_size: 4052904878.121 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - automatic-speech-recognition language: - kk size_categories: - 1KKazLibri

KazLibri is a Kazakh narrated speech corpus consisting of audio–text pairs derived from books. The project is inspired by the LibriSpeech corpus.

The corpus is released strictly for research and educational purposes only. Any form of commercial use, redistribution for profit, or integration into proprietary systems is not permitted. At the time of public release, the corpus contains just over six hours of narrated speech.

Initiated independently during a period of unemployment, KazLibri represents one of several personal efforts (e.g., KazParov) to enrich Kazakh text and speech resources through perseverance and self-driven research. Please excuse the gradual pace of expansion and updates, as the project is currently being developed single-handedly.

Please also note that, despite considerable effort invested in data collection, segmentation, and transcription, the corpus may still contain errors or inconsistencies. Any feedback, corrections, or suggestions will be sincerely appreciated.