KazNERD_H

Human-recorded Kazakh speech test set from the paper Improved Kazakh Named Entity Transcription Using Synthetic Speech (UBMK 2025). It contains KazNERD test sentences read aloud by human speakers and is used to evaluate how well ASR models transcribe named entities in real speech.

Code and evaluation scripts: github.com/IS2AI/KazNERD_ASR

Related datasets: issai/kaznerd1, issai/kaznerd2 (synthetic speech)

Dataset Structure

Split	Utterances
sample1	89
sample2	89
sample3	89
sample4	89
sample5	89
sample6	86
Total	531

Data Fields

• audio: 16 kHz mono WAV audio
• text: Kazakh transcript
• sentence_id: KazNERD sentence ID without its trailing AID (e.g. AID335306 ↔ AID335306AID)

Usage

from datasets import load_dataset

dataset = load_dataset("issai/KazNERD_H")
sample = dataset["sample1"][0]
print(sample["text"])

Citation

@inproceedings{meiramov2025kaznerdasr,
  author    = {Meiramov, Rakhat and Varol, Huseyin Atakan},
  title     = {Improved Kazakh Named Entity Transcription Using Synthetic Speech},
  booktitle = {2025 10th International Conference on Computer Science and Engineering (UBMK)},
  pages     = {1629--1633},
  year      = {2025},
  doi       = {10.1109/UBMK67458.2025.11242232}
}

Transcripts are based on KazNERD; please also cite:

@inproceedings{yeshpanov-etal-2022-kaznerd,
  author    = {Yeshpanov, Rustem and Khassanov, Yerbolat and Varol, Huseyin Atakan},
  title     = {{K}az{NERD}: {K}azakh Named Entity Recognition Dataset},
  booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference},
  pages     = {417--426},
  year      = {2022},
  url       = {https://aclanthology.org/2022.lrec-1.44}
}