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| license: apache-2.0 |
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| # LLM-Generated Hungarian Conversations |
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| 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](https://arxiv.org/abs/2606.03957v1) |
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| 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. |
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| ## Dataset structure |
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| Each row corresponds to one sentence within a conversational turn. |
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| | 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 | |
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| Rows sharing the same `conv_id` belong to the same conversation. Sentences should be ordered by `turn_id` and then by `sentence_id`. |
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| ## Citation |
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| When using this dataset, please cite the associated paper: |
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| ```bibtex |
| @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}, |
| } |
| ``` |
