Datasets:
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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.
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