Update README.md

README.md

@@ -52,7 +52,7 @@ extra_gated_prompt: >-
   agreement on behalf of such employer.
 
 
-  !!! Please also fill out the Google Form https://forms.gle/UuGQAPyscGRrUMLq6
+  !!! Please also fill out the Google Form TODO:
   to request access to the Gigaspeech 2 dataset.
 extra_gated_fields:
   Name: text
@@ -108,12 +108,10 @@ TODO:
 
 ### Supported Tasks and Leaderboards
 
-- `automatic-speech-recognition`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. The most common evaluation metric is the word error rate (WER). The task has an active leaderboard which can be found at https://github.com/SpeechColab/GigaSpeech#leaderboard and ranks models based on their WER.
-- `text-to-speech`, `text-to-audio`: The dataset can also be used to train a model for Text-To-Speech (TTS).
+- `automatic-speech-recognition`: The dataset can be used to train a model for Automatic Speech Recognition (ASR). The model is presented with an audio file and asked to transcribe the audio file to written text. Evaluation metrics includes Character Error Rate (CER) for Thai, and Word Error Rate (WER) for Indonesian and Vietnamese. The task has an active leaderboard which can be found at https://github.com/SpeechColab/GigaSpeech2#leaderboard and ranks models based on their WER.
 
 ### Languages
-
-Gigaspeech contains audio and transcription data in Thai, Indonesian, Vietnamese.
+Gigaspeech 2 contains audio and transcription data in Thai, Indonesian, Vietnamese.
 
 ## Dataset Structure
 
@@ -135,86 +133,64 @@ TODO:
 ## Dataset Creation
 
 ### Curation Rationale
-
-[More Information Needed]
+TODO:
 
 ### Source Data
 TODO:
 
 #### Initial Data Collection and Normalization
-
-[More Information Needed]
+TODO:
 
 #### Who are the source language producers?
-
-[More Information Needed]
+TODO:
 
 ### Annotations
 
 #### Annotation process
-
-[More Information Needed]
+TODO:
 
 #### Who are the annotators?
-
-Development and test subsets are annotated by professional human annotators.
+Development (DEV) and test (TEST) subsets are annotated by professional human annotators.
 
 ### Personal and Sensitive Information
-
-[More Information Needed]
+TODO:
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
-
-[More Information Needed]
+TODO:
 
 ### Discussion of Biases
-
-[More Information Needed]
+TODO:
 
 ### Other Known Limitations
-
-[More Information Needed]
+TODO:
 
 ## Additional Information
 
 ### Dataset Curators
-
-[More Information Needed]
+TODO:
 
 ### Licensing Information
-
 SpeechColab does not own the copyright of the audio files. For researchers and educators who wish to use the audio files for 
 non-commercial research and/or educational purposes, we can provide access through our site under certain conditions and terms.
 
 In general, when training a machine learning model on a given dataset, the license of the model is **independent** to that of the
-dataset. That is to say, speech recognition models trained on the GigaSpeech dataset may be eligible for commercial license, 
+dataset. That is to say, speech recognition models trained on the GigaSpeech 2 dataset may be eligible for commercial license, 
 provided they abide to the 'Fair Use' terms of the underlying data and do not violate any explicit copyright restrictions. 
 This is likely to be true in most use-cases. However, it is your responsiblity to verify the appropriate model license for 
 your specific use-case by confirming that the dataset usage abides by the Fair Use terms. SpeechColab is not responsible 
-for the license of any machine learning model trained on the GigaSpeech dataset.
+for the license of any machine learning model trained on the GigaSpeech 2 dataset.
 
 ### Citation Information
-
 Please cite this paper if you find this work useful:
-
-```bibtext
-@inproceedings{GigaSpeech2021,
-  title={GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio},
-  booktitle={Proc. Interspeech 2021},
-  year=2021,
-  author={Guoguo Chen, Shuzhou Chai, Guanbo Wang, Jiayu Du, Wei-Qiang Zhang, Chao Weng, Dan Su, Daniel Povey, Jan Trmal, Junbo Zhang, Mingjie Jin, Sanjeev Khudanpur, Shinji Watanabe, Shuaijiang Zhao, Wei Zou, Xiangang Li, Xuchen Yao, Yongqing Wang, Yujun Wang, Zhao You, Zhiyong Yan}
-}
-```
+TODO:
 
 ### Contributions
-
-Thanks to [@polinaeterna](https://github.com/polinaeterna) and [@sanchit-gandhi](https://github.com/sanchit-gandhi) 
-for adding this dataset.
+TODO:
 
 ## Terms of Access
-The "Researcher" has requested permission to use the GigaSpeech database (the "Database") 
+The "Researcher" has requested permission to use the GigaSpeech 2 database (the "Database") 
 at Tsinghua University. In exchange for such permission, Researcher hereby agrees to the 
 following terms and conditions: