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---
dataset_info:
features:
- name: license
dtype: string
- name: audio
dtype: audio
- name: file_name
dtype: string
- name: episode_name
dtype: string
- name: original_split
dtype: string
- name: sampling_rate
dtype: int64
- name: audio_length
dtype: float64
splits:
- name: CC_BY_3.0
num_bytes: 4245155531.5879397
num_examples: 100
- name: CC_BY_SA_3.0
num_bytes: 3168500218.8944726
num_examples: 79
- name: CC_BY_ND_3.0
num_bytes: 961275962.5175879
num_examples: 20
download_size: 8343014658
dataset_size: 8374931713.0
configs:
- config_name: default
data_files:
- split: CC_BY_3.0
path: data/CC_BY_3.0-*
- split: CC_BY_SA_3.0
path: data/CC_BY_SA_3.0-*
- split: CC_BY_ND_3.0
path: data/CC_BY_ND_3.0-*
license: cc
---
# Some Podcasts
Podcasts are taken from the [PodcastFillers dataset](https://podcastfillers.github.io/). The PodcastFillers dataset consists of 199 full-length podcast episodes in English with manually annotated filler words and automatically generated transcripts. The podcast audio recordings, sourced from SoundCloud, are CC-licensed, gender-balanced, and total 145 hours of audio from over 350 speakers.
> [!TIP]
> This dataset doesn't upload the PodcastFillers annotations, which are under a non-commercial license. See [here](https://podcastfillers.github.io/license/) for more details.
## Length by license type
**CC_BY 3.0:**
Total length: 73.6 h. Mean length: 44.2 min
**CC_BY SA 3.0:**
Total length: 54.9 h. Mean length: 41.7 min
**CC_BY ND 3.0 :**
Total length: 16.7 h. Mean length: 50 min
## License
See [here](https://podcastfillers.github.io/license/) for more details. The licenses are also in the metadata.
## Citation Information
```
@inproceedings{Zhu:FillerWords:INTERSPEECH:22,
title = {Filler Word Detection and Classification: A Dataset and Benchmark},
booktitle = {23rd Annual Cong.~of the Int.~Speech Communication Association (INTERSPEECH)},
address = {Incheon, Korea},
month = {Sep.},
url = {https://arxiv.org/abs/2203.15135},
author = {Zhu, Ge and Caceres, Juan-Pablo and Salamon, Justin},
year = {2022},
}
```
### Contributions
Thanks to [@ylacombe](https://github.com/ylacombe) for adding this dataset. |