Datasets:
metadata
dataset_info:
features:
- name: id
dtype: string
- name: duration
dtype: float32
- name: audio
dtype: audio
- name: transcript
dtype: string
- name: asr_aligned_transcript
dtype: string
- name: diar_aligned_transcript
dtype: string
- name: segments
sequence:
- name: start
dtype: float32
- name: end
dtype: float32
- name: speaker
dtype: string
- name: transcript
dtype: string
- name: asr_aligned_segments
sequence:
- name: start
dtype: float32
- name: end
dtype: float32
- name: speaker
dtype: string
- name: transcript
dtype: string
- name: diar_aligned_segments
sequence:
- name: start
dtype: float32
- name: end
dtype: float32
- name: speaker
dtype: string
- name: transcript
dtype: string
splits:
- name: test
num_bytes: 7186749331
num_examples: 60
download_size: 7047921491
dataset_size: 7186749331
configs:
- config_name: default
data_files:
- split: test
path: data/test-*
license: mit
task_categories:
- automatic-speech-recognition
language:
- en
A detailed dataset description (including description, audio samples, and statistics) is provided here: https://domklement.github.io/sbcsae/
If you use the dataset, please, do not forget to cite our work:
@inproceedings{maciejewski24_interspeech,
title = {Evaluating the Santa Barbara Corpus: Challenges of the Breadth of Conversational Spoken Language},
author = {Matthew Maciejewski and Dominik Klement and Ruizhe Huang and Matthew Wiesner and Sanjeev Khudanpur},
year = {2024},
booktitle = {Interspeech 2024},
pages = {2155--2159},
doi = {10.21437/Interspeech.2024-2119},
issn = {2958-1796},
}
Description of the HuggingFace dataset is coming soon.