README.md

---
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.