---
license: other
language:
  - en
tags:
  - audio
  - speech
  - speaker
  - evaluation
configs:
- config_name: default
  data_files:
  - split: test
    path: data.parquet
task_categories:
  - audio-classification
pretty_name: Seamless Interaction Pairs
---

# Seamless Interaction Pairs

This dataset contains paired query and document audio clips for interaction-based
speaker evaluation. Each row describes a query clip and a related document clip,
with segment metadata and durations for analysis.

## Data structure

The dataset uses a single split stored in `data.parquet`.

Audio files are stored under `audio/` and referenced by relative paths in the
parquet file.

### Columns

- `pair_id` (string): Pair identifier.
- `interaction` (string): Interaction/session identifier.
- `query_audio` (Audio): Path to query audio file.
- `doc_audio` (Audio): Path to document audio file.
- `query_speaker` (string): Speaker identifier for the query segment.
- `query_file_id` (string): File identifier for the query speaker segment.
- `query_segments` (string): JSON list of query segment start/end times.
- `doc_segments` (string): JSON list of document segments with speaker/file IDs.
- `query_duration` (float): Duration in seconds for the query clip.
- `doc_duration` (float): Duration in seconds for the document clip.

## Usage

```python
from datasets import load_dataset

ds = load_dataset("frankie137/seamless_interaction_pairs")
print(ds["test"][0])
```

## Notes

- Audio columns are configured as `Audio` features so the Hugging Face viewer
  can render playback controls.