Update README.md

README.md

@@ -4,11 +4,12 @@ license: cc-by-3.0
 
 YODAS2 is the long-form dataset from YODAS dataset.
 
-It provides the same dataset as the `espnet/yodas` but this one has been formatted in the long-form where audios are not segmented.
+It provides the same dataset as [espnet/yodas](https://huggingface.co/datasets/espnet/yodas)  but YODAS2 has the following new features:
 
-Additionally, audios are encoded using higher sampling rates (i.e. 24k) in YODAS2.
+- formatted in the long-form (video-level) where audios are not segmented.
+- audios are encoded using higher sampling rates (i.e. 24k)
 
-For detailed information about Yodas dataset, please refer to [our paper](https://arxiv.org/abs/2406.00899) and the [espnet/yodas repo](https://huggingface.co/datasets/espnet/yodas).
+For detailed information about YODAS dataset, please refer to [our paper](https://arxiv.org/abs/2406.00899) and the [espnet/yodas repo](https://huggingface.co/datasets/espnet/yodas).
 
 ## Usage:
 
@@ -27,7 +28,7 @@ Each data point corresponds to an entire video on YouTube, it contains the follo
   - start: start timestamp in seconds of this utterance
   - end: end timestamp in seconds of this utterance
 
-Yodas2 also supports two modes:
+YODAS2 also supports two modes:
 
 **standard mode**: each subset will be downloaded to the local dish before first iterating. 
 
@@ -47,9 +48,31 @@ from datasets import load_dataset
 
 # this streaming loading will finish quickly
 ds = load_dataset('espnet/yodas2', 'en000', streaming=True)
+```
 
 
-#{'id': '9774', 'utt_id': 'YoRjzEnRcqu-00000-00000716-00000819', 'audio': {'path': None, 'array': array([-0.009552  , -0.01086426, -0.012146  , ..., -0.01992798,
-#       -0.01885986, -0.01074219]), 'sampling_rate': 16000}, 'text': 'There is a saying'}
-print(next(iter(ds['train'])))
+## Reference
+
 ```
+@inproceedings{li2023yodas,
+  title={Yodas: Youtube-Oriented Dataset for Audio and Speech},
+  author={Li, Xinjian and Takamichi, Shinnosuke and Saeki, Takaaki and Chen, William and Shiota, Sayaka and Watanabe, Shinji},
+  booktitle={2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
+  pages={1--8},
+  year={2023},
+  organization={IEEE}
+}
+```
+
+
+## Contact
+
+If you have any questions, feel free to contact us at the following email address.
+
+We made sure that our dataset only consisted of videos with CC licenses during our downloading. But in case you find your video unintentionally included in our dataset and would like to delete it, you can send a delete request to the following email.
+
+Remove the parenthesis `()` from the following email address
+
+`(lixinjian)(1217)@gmail.com`
+
+