|
--- |
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dataset_info: |
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features: |
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- name: license |
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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 |
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|
|
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. |
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|
|
|
|
## 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. |
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|
|
## Citation Information |
|
|
|
``` |
|
@inproceedings{Zhu:FillerWords:INTERSPEECH:22, |
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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}, |
|
} |
|
``` |
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|
|
### Contributions |
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|
|
Thanks to [@ylacombe](https://github.com/ylacombe) for adding this dataset. |
