| --- |
| language: |
| - en |
| - hi |
| pretty_name: DECIDE — 20 Public Samples |
| task_categories: |
| - audio-classification |
| - question-answering |
| size_categories: |
| - n<1K |
| tags: |
| - audio |
| - speech |
| - voice-agents |
| - decision-making |
| - multiple-choice |
| - benchmark-preview |
| configs: |
| - config_name: default |
| data_files: |
| - split: preview |
| path: data/preview-00000-of-00001.parquet |
| --- |
| # DECIDE: 20 public samples |
|
|
| **Decision Evaluation in Calls: Intent, Dialogue and Emotion** |
|
|
| [Website](https://decide-benchmark.vercel.app/) · [GitHub](https://github.com/tazolabs/DECIDE) · [Full benchmark evaluation](https://decide-benchmark.vercel.app/evaluate) |
|
|
| This public preview contains **exactly 20 labelled decision questions**, using |
| **six audio clips** already published on the DECIDE website. A clip can support |
| multiple different questions. The examples span **14 task types across |
| all six decision families**. Audio comes from production voice-agent calls |
| supplied by [Bolna](https://www.bolna.ai/). |
|
|
| The full DECIDE v1.0 benchmark contains 4,867 questions over 1,081 clips and |
| 32 tasks and remains private. This repository is a small, deliberately selected |
| demonstration of question types, not the full benchmark or a representative test |
| set. Use the hosted evaluator to obtain full-benchmark results. |
|
|
| ## Contents |
|
|
| | Decision family | Rows | |
| | --- | ---: | |
| | Business and conversation | 7 | |
| | Graph routing | 4 | |
| | Language switching | 1 | |
| | Tool decisions | 1 | |
| | Turn taking | 3 | |
| | Voice properties | 4 | |
| | **Total** | **20** | |
|
|
| Examples include lead qualification, caller availability and callback requests, |
| information delivery, caller responses, graph routing and next-node selection, |
| external-tool selection, next-turn prediction, caller emotion, speaker count, |
| audio disturbance and language switching. |
|
|
| Each row contains: |
|
|
| - `audio`: a playable mono 16 kHz PCM16 WAV clip, embedded in the Parquet file. |
| - `question`, `context`, `options`: the decision question, permitted context and |
| allowed option IDs with descriptions. |
| - `answer`: the existing human reference label from the frozen DECIDE v1.0 data. |
| - `task`, `family`: the task identifier and decision family. |
| - `id`, `clip_id`: public sample identifiers. Repeated `clip_id` values mean the |
| same audio is being used for different questions. |
| - `current_node`: the node at the clip start for graph questions; empty for other |
| questions. The graph specification is included in that row's context. |
| - `duration_seconds`, `duration_bucket`: audio duration and duration group. |
|
|
| ## Load the preview |
|
|
| ```python |
| from datasets import Audio, load_dataset |
| |
| samples = load_dataset("tazolabs/DECIDE-samples", split="preview") |
| assert len(samples) == 20 |
| |
| # Read encoded WAV bytes without installing an audio decoder. |
| samples = samples.cast_column("audio", Audio(decode=False)) |
| row = samples[0] |
| print(row["question"]) |
| print(row["options"]) |
| print(row["answer"]) |
| wav_bytes = row["audio"]["bytes"] |
| ``` |
|
|
| The Hugging Face dataset viewer provides an audio player for each row. For local |
| decoded-audio playback, use the audio dependencies supported by your version of |
| `datasets`. |
|
|
| ## Interpretation |
|
|
| The task is to choose one allowed decision at the **end of the supplied clip**. |
| Use only the audio and permitted context. Future conversation is not provided. |
| `agent` means the AI assistant; `caller` means the human/user. Graphs and tools are |
| reconstructed benchmark specifications, not production execution logs. Choosing |
| a tool does not execute it. |
|
|
| Reference answers are copied unchanged from existing human annotations. Context |
| and question wording are shortened for public inspection; full-call histories, |
| private source identifiers, reviewer notes and model predictions are excluded. |
| Consequently, preview scores must not be reported as full DECIDE benchmark scores. |
|
|
| Only these 20 question rows are published here. No new call recordings beyond |
| the six existing public website previews are released. The code repository's |
| license does not grant a license to the underlying call recordings; no separate |
| open-data license is specified for this preview. |
|
|
| ## Attribution |
|
|
| DECIDE is created by Tazo Labs using production call recordings supplied by Bolna. |
| Authors: Harsh Pare, Naman Jain, Sachin Kumar Singh, Jayakrishna Sahit, |
| Siddharth Batra, Sanket Bhat and Surya Vamsee Ayyagari. |
| Paper/arXiv link: forthcoming. See the website for updates. |
|
|
