Datasets:

gedeonmate
/

Hungarian-Dialogues-text

This dataset contains structured Hungarian conversations generated with multiple large language model families for the study “Efficient ASR Training with Conversations that Never Happened.” Paper: arXiv link

Each model is provided as a separate Parquet file. The dataset contains the generated textual conversations and associated scenario and participant metadata; it does not contain synthesized audio.

Dataset structure

Each row corresponds to one sentence within a conversational turn.

Field	Description
`conv_id`	Unique conversation identifier
`turn_id`	Turn index within the conversation
`speaker`	Speaker identifier (`speaker_1` or `speaker_2`)
`source_file`	Original generated text-file name
`topic_id`	Topic identifier
`scenario_id`	Scenario index
`topic`	Conversation topic
`participant`	Participant metadata, including age, gender, and occupation
`interviewer`	Interviewer metadata, including age, gender, and role
`sentence_id`	Sentence index within the turn
`text`	Hungarian sentence text

Rows sharing the same conv_id belong to the same conversation. Sentences should be ordered by turn_id and then by sentence_id.

Citation

When using this dataset, please cite the associated paper:

@misc{gedeon2026efficientasrtrainingconversations,
      title={Efficient ASR Training with Conversations that Never Happened}, 
      author={Máté Gedeon and Péter Mihajlik},
      year={2026},
      eprint={2606.03957},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2606.03957}, 
}