Update README.md

README.md

@@ -29,4 +29,45 @@ configs:
   data_files:
   - split: train
     path: CC_BY_3.0/train-*
+license: cc
 ---
+
+> [!TIP]
+> This particular dataset only kept the CC-BY 3.0 podcasts, which have been processed using the [Emilia-Pipe](https://github.com/open-mmlab/Amphion/blob/main/preprocessors/Emilia/README.md#emilia-pipe-overview-) with Whisper Large v3. 
+
+# 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: 51.44h
+
+
+## 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.
+