README.md

metadata

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

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.