Update README.md

README.md

@@ -36,4 +36,46 @@ configs:
     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.