Update README.md

README.md

@@ -1,3 +1,45 @@
 ---
 license: apache-2.0
 ---
+
+# LLM-Generated Hungarian Conversations
+
+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)
+
+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:
+
+```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}, 
+}
+```