| --- |
| license: other |
| license_name: mixed-per-scenario |
| license_link: https://huggingface.co/datasets/DuplexGen/duplexgen-corpus/blob/main/README.md#heritage--licensing |
| pretty_name: DuplexGen Corpus |
| task_categories: |
| - text-generation |
| - conversational |
| language: |
| - en |
| tags: |
| - turn-taking |
| - dialogue |
| - backchannel |
| - full-duplex |
| - spoken-dialogue |
| configs: |
| - config_name: INT_dialogues |
| data_files: |
| - split: train |
| path: dialogues/INT/train.jsonl |
| - config_name: INT_annotations |
| data_files: |
| - split: train |
| path: annotations/INT/train.jsonl |
| - split: test |
| path: annotations/INT/test.jsonl |
| - config_name: NEG_dialogues |
| data_files: |
| - split: train |
| path: dialogues/NEG/train.jsonl |
| - config_name: NEG_annotations |
| data_files: |
| - split: train |
| path: annotations/NEG/train.jsonl |
| - split: test |
| path: annotations/NEG/test.jsonl |
| - config_name: PER_dialogues |
| data_files: |
| - split: train |
| path: dialogues/PER/train.jsonl |
| - config_name: PER_annotations |
| data_files: |
| - split: train |
| path: annotations/PER/train.jsonl |
| - split: test |
| path: annotations/PER/test.jsonl |
| - config_name: PLN_dialogues |
| data_files: |
| - split: train |
| path: dialogues/PLN/train.jsonl |
| - config_name: PLN_annotations |
| data_files: |
| - split: train |
| path: annotations/PLN/train.jsonl |
| - split: test |
| path: annotations/PLN/test.jsonl |
| - config_name: SOC_dialogues |
| data_files: |
| - split: train |
| path: dialogues/SOC/train.jsonl |
| - config_name: SOC_annotations |
| data_files: |
| - split: train |
| path: annotations/SOC/train.jsonl |
| - split: test |
| path: annotations/SOC/test.jsonl |
| - config_name: TEA_dialogues |
| data_files: |
| - split: train |
| path: dialogues/TEA/train.jsonl |
| - config_name: TEA_annotations |
| data_files: |
| - split: train |
| path: annotations/TEA/train.jsonl |
| - split: test |
| path: annotations/TEA/test.jsonl |
| --- |
| |
| # DuplexGen Corpus |
|
|
| Text corpus for **DuplexGen: Adaptive Synthesis of Human–AI Turn-Taking |
| Dialogues**. |
|
|
| This dataset contains DuplexGen-generated dialogues and our own human |
| turn-taking slot annotations, used to train and calibrate models that |
| predict when a listener should take the floor, backchannel, or stay silent |
| during spoken conversation. |
|
|
| A companion dataset, **[`DuplexGen/duplexgen-spoken`](https://huggingface.co/datasets/DuplexGen/duplexgen-spoken)**, |
| provides a spoken-audio rendering of the generated dialogues (via |
| Chatterbox TTS). The generation pipeline and training/eval code are at |
| [github.com/duplexgen/duplexgen-code](https://github.com/duplexgen/duplexgen-code). |
|
|
| ## Links |
|
|
| - 📄 **Paper** — arXiv link coming soon |
| - 💻 **Code** — [github.com/duplexgen/duplexgen-code](https://github.com/duplexgen/duplexgen-code) |
| - 🎛️ **Finetune** — [github.com/duplexgen/personaplex-finetune](https://github.com/duplexgen/personaplex-finetune) |
| - 🤗 **Corpus** — [DuplexGen/duplexgen-corpus](https://huggingface.co/datasets/DuplexGen/duplexgen-corpus) |
| - 🤗 **Spoken** — [DuplexGen/duplexgen-spoken](https://huggingface.co/datasets/DuplexGen/duplexgen-spoken) |
| - 🌐 **Demo** — [duplexgen.github.io](https://duplexgen.github.io/) |
|
|
| ## Dataset summary |
|
|
| Two parts, laid out per scenario code (`TEA`, `PLN`, `INT`, `NEG`, `PER`, |
| `SOC`): |
|
|
| ``` |
| dialogues/<CODE>/train.jsonl # DuplexGen-generated dialogues (train-only) |
| annotations/<CODE>/train.jsonl # human slot-level turn-taking annotations |
| annotations/<CODE>/test.jsonl |
| ``` |
|
|
| **Only DuplexGen-generated dialogues and our own human slot annotations are |
| released here — no third-party raw source text is redistributed.** See |
| [Heritage / licensing](#heritage--licensing) below for how each scenario's |
| prompts/situations were seeded. |
|
|
| ## Loading |
|
|
| This repo defines **one config per scenario × part**: a `<CODE>_dialogues` |
| config (single `train` split) and a `<CODE>_annotations` config (`train` + |
| `test` splits) for each scenario code `{TEA, PLN, INT, NEG, PER, SOC}`: |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # generated dialogues for one scenario (train-only) |
| ds = load_dataset("DuplexGen/duplexgen-corpus", "PER_dialogues", split="train") |
| |
| # human annotations for the same scenario, test split |
| ann = load_dataset("DuplexGen/duplexgen-corpus", "INT_annotations", split="test") |
| ``` |
|
|
| Valid configs: |
| - `{TEA,PLN,INT,NEG,PER,SOC}_dialogues` — split `train` only |
| - `{TEA,PLN,INT,NEG,PER,SOC}_annotations` — splits `train`, `test` |
|
|
| ## Data fields |
|
|
| ### `dialogues/<CODE>/train.jsonl` |
|
|
| Each line is one generated dialogue: |
|
|
| ``` |
| { |
| "example_id": str, |
| "scenario": str, # scenario code, e.g. "TEA" |
| "license": str, # inherited upstream license, see Heritage / licensing below |
| "context": str, |
| "style": str, # e.g. "spoken" |
| "disfluency_target": str, # which speaker role disfluency was targeted at |
| "speakers": [str, ...], |
| "history": [ |
| { |
| "role": str, |
| "content": str, |
| "segments": [ |
| # a segment is EITHER a plain content span: |
| {"full_content": str}, |
| # OR a per-word turn-taking decision slot: |
| { |
| "word_index": int, |
| "probs": { |
| "floor_taking": float, |
| "backchannel": float, |
| "silence": float |
| }, |
| "decision": str, # the sampled/selected action at this slot |
| "inserted_token": str | null |
| } |
| ] |
| }, |
| ... |
| ] |
| } |
| ``` |
|
|
| `segments` interleaves plain-text spans with per-word turn-taking decision |
| slots in document order — replaying a turn's `segments` list reconstructs |
| `content` plus the inserted turn-taking behavior at each slot. |
|
|
| ### `annotations/<CODE>/{train,test}.jsonl` |
|
|
| Each line is one dialogue's **human** slot-level turn-taking annotation. |
| Note the deliberate terminology difference from `dialogues`: annotations |
| use `"silent"`/`"take_floor"` where dialogues use `"silence"`/`"floor_taking"` |
| (`"backchannel"` is shared). |
|
|
| ``` |
| { |
| "example_id": str, |
| "scenario": str, |
| "license": str, |
| "history": [ |
| { |
| "role": str, |
| "content": str, |
| "boundaries": [ |
| { |
| "word_index": int, |
| "total_count": int, # number of human raters for this slot |
| "counts": { # raw vote counts, subset of: |
| "silent": int, |
| "backchannel": int, |
| "take_floor": int |
| }, |
| "probabilities": { # counts normalized by total_count, over: |
| "silent": float, |
| "backchannel": float, |
| "take_floor": float |
| } |
| }, |
| ... |
| ] |
| }, |
| ... |
| ] |
| } |
| ``` |
|
|
| ## Dataset statistics (verified) |
|
|
| **`dialogues` (train-only, generated):** |
|
|
| | Scenario | Count | |
| |---|---| |
| | TEA | 1000 | |
| | PLN | 1000 | |
| | INT | 1000 | |
| | NEG | 1000 | |
| | PER | 999 | |
| | SOC | 1000 | |
| | **Total** | **5999** | |
|
|
| Total per-word turn-taking decision segments (slots with `word_index`/`probs`, |
| excluding plain `full_content` segments) across all 5999 dialogues: |
| **125,137**. |
|
|
| **`annotations` (human-labeled):** |
|
|
| | Split | Per scenario | Total (× 6 scenarios) | |
| |---|---|---| |
| | train | 20 | 120 | |
| | test | 50 | 300 | |
| | **Total** | **70** | **420** | |
|
|
| ## Heritage / licensing |
|
|
| Each scenario's dialogues were seeded from a different upstream source and |
| therefore carries a different license. **Only the DuplexGen-generated |
| dialogue text and our own human annotations are distributed in this |
| dataset — no raw text from these upstream sources is redistributed here.** |
|
|
| | Scenario | Code | Source dataset | License | |
| |---|---|---|---| |
| | Socratic teaching | TEA | SocraticLM | Apache-2.0 | |
| | Planning | PLN | MultiWOZ | MIT | |
| | Interview | INT | Anthropic Interviewer | CC-BY-4.0 | |
| | Negotiation | NEG | CraigslistBargain | MIT | |
| | Persuasion | PER | DailyPersuasion | Apache-2.0 | |
| | Social chat | SOC | SODA | CC-BY-4.0 | |
|
|
| **Attribution (PER):** the `PER` scenario is seeded from DailyPersuasion |
| (PersuGPT), released under Apache-2.0. Please retain attribution to |
| DailyPersuasion when redistributing the `PER` split. |
|
|
| Because licensing differs per scenario, this dataset's top-level Hub |
| `license` metadata is set to `other`; the table above is the authoritative |
| per-scenario license reference. If you use only a subset of scenarios, |
| comply with that scenario's license only. |
|
|
| ## Generator credit |
|
|
| - Dialogue **text** (spoken-style conversion and synthesized turn-taking |
| dialogues) is generated by **Qwen3.5-122B-A10B**. |
| - Spoken **audio** (in the companion [`DuplexGen/duplexgen-spoken`](https://huggingface.co/datasets/DuplexGen/duplexgen-spoken) |
| dataset) is rendered via **Chatterbox** TTS. |
| - **No third-party raw text** is included in this dataset — only |
| DuplexGen-generated dialogues and our own human slot annotations are |
| released. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the DuplexGen paper. |
|
|
