| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| tags: |
| - spoken-dialogue |
| - behavior |
| - llm |
| - tts |
| - generation |
| pretty_name: Behavior-SD |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # 🎙️ Behavior-SD |
| Official repository for our **NAACL 2025** paper: |
| <a href="https://aclanthology.org/2025.naacl-long.484/"><b>Behavior-SD: Behaviorally Aware Spoken Dialogue Generation with Large Language Models</b></a> |
| [Sehun Lee*](https://yhytoto12.github.io/), [Kang-wook Kim*](https://kwkim.me/), [Gunhee Kim](https://vision.snu.ac.kr/gunhee/) (* Equal contribution) |
|
|
| > 🏆 **SAC Award Winner** in Speech Processing and Spoken Language Understanding |
|
|
| ## 🔗 Links |
| - [**Project Page**](https://yhytoto12.github.io/Behavior-SD) |
| - [**Code**](https://github.com/yhytoto12/Behavior-SD) |
|
|
| ## 📖 Overview |
| We explores how to generate natural, behaviorally-rich full-duplex spoken dialogues using large language models (LLMs). |
| We introduce: |
| - **Behavior-SD** Dataset: 108K full-duplex dialogues (2,164 hours) with rich speaker-wise behavioral annotations. |
| - **BeDLM**: A novel end-to-end LLM-based spoken dialogue generator conditioned on narrative and behavioral traits. |
|
|
| ## 📂 Datasets Info |
|
|
| | Split | Num Audios | Storage | |
| | -- | -- | -- | |
| | train | 106,317 | 176 GB | |
| | validation | 932 | 1.6 GB | |
| | test | 925 | 1.5 GB | |
|
|
| ### Download |
| ```python |
| from datasets import load_dataset |
| |
| # Load the Behavior-SD dataset using streaming mode (recommended for large datasets) |
| dataset = load_dataset( |
| "yhytoto12/behavior-sd", |
| split="train", # "validation" or "test" |
| streaming=True |
| ) |
| |
| # Example: Iterate over the dataset |
| for i, example in enumerate(dataset): |
| print(example) |
| break |
| ``` |
|
|
| Or you can manually download the dataset repository with Git LFS: |
| ```bash |
| # Make sure you have git-lfs installed |
| # Installation (if not already installed) |
| # For Ubuntu: sudo apt-get install git-lfs |
| # For MacOS: brew install git-lfs |
| # Then initialize: |
| git lfs install |
| |
| # Clone the dataset repository |
| git clone https://huggingface.co/datasets/yhytoto12/behavior-sd |
| |
| # The dataset files (audio and metadata) will be downloaded into the behavior-sd/ directory |
| cd behavior-sd |
| ``` |
| You can also download only specific chunks. |
| ```bash |
| # Clone only metadata pointers without downloading large files |
| GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/yhytoto12/behavior-sd |
| |
| # Move into the dataset directory |
| cd behavior-sd |
| |
| # When you want to download a specific file (e.g., "train/0000.tar"), run: |
| git lfs pull --include="train/0000.tar" |
| # Or download a specific split |
| git lfs pull --include="validation/*" |
| ``` |
|
|
| ### Description |
| ```JSON |
| # "0000000004.json" |
| { |
| "file_name": "0000000004.flac", |
| "soda_split": "train", |
| "soda_index": 4, |
| "narrative": "Cornell knows what Dontrell is thinking...", |
| "speakers": ["Cornell", "Dontrell"], |
| "behaviors": [ |
| {"utterance_length": 0, "filler_words": 0, "backchannels": 0, "interruptions": 2}, |
| {"utterance_length": 0, "filler_words": 2, "backchannels": 0, "interruptions": 0} |
| ], |
| "num_turns": 10, |
| "utterances": [ |
| { |
| "uttr_idx": 0, |
| "uttr_type": null, |
| "speaker_idx": 1, |
| "speaker": "Dontrell", |
| "tts_text": "So, I was thinking... um... we should probably plan...", |
| "dur_samples": 60672, |
| "start_time": 0.0, |
| "end_time": 2.75156462585034, |
| "backchannels": [] |
| }, |
| ... |
| ], |
| "tts_speaker_ids": ["0001024622_0", "0000805189_1"], |
| "tts_genders": ["female", "male"], |
| "statistics": { |
| "num_utterances": [5, 5], |
| "num_turntaking": [5, 4], |
| "durations": [5.53, 25.35], |
| "num_interruptions": [2, 0], |
| "num_backchannels": [0, 0], |
| "num_filler_words": [0, 8] |
| } |
| } |
| ``` |
|
|
| ## 📌 Citation |
| If you find our work useful, please consider citing us: |
|
|
| ```bib |
| @inproceedings{lee-and-kim@behaviorsd, |
| title = {Behavior-SD: Behaviorally Aware Spoken Dialogue Generation with Large Language Models}, |
| author = {Sehun Lee, Kang-wook Kim, Gunhee Kim}, |
| booktitle = {Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics}, |
| year = {2025}, |
| url = {https://aclanthology.org/2025.naacl-long.484/} |
| } |
| ``` |
