Update README.md (#5)

- Update README.md (6d3ffb7d91dea2f3cd9cf9c3cf3d390957864d96)


Co-authored-by: Zhang Qin ya <zhangqy@users.noreply.huggingface.co>

README.md

@@ -57,11 +57,11 @@ XBMU-AMDO31 dataset is a speech recognition corpus of Amdo Tibetan dialect. The
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+automatic-speech-recognition: The dataset can be used to train a model for Amdo Tibetan Automatic Speech Recognition (ASR). It was recorded by 66 native speakers of Amdo Tibetan, and the recorded audio was processed and manually inspected. 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/sendream/xbmu_amdo31#leaderboard and ranks models based on their WER.
 
 ### Languages
 
-[More Information Needed]
+XBMU-AMDO31 contains audio, a Tibetan pronunciation dictionary and transcription data in Amdo Tibetan.
 
 ## Dataset Structure
 
@@ -75,7 +75,13 @@ XBMU-AMDO31 dataset is a speech recognition corpus of Amdo Tibetan dialect. The
 
 ### Data Splits
 
-[More Information Needed]
+The dataset has three splits: train, evaluation (dev) and test.Each speaker had approximately 450 sentences, with a small number of individuals having fewer than 200 sen
+
+| Subset | Hours | Male | Female | Remarks                                 |
+| ------ | ----- | ---- | ------ | --------------------------------------- |
+| Train  | 25.41 | 27   | 27     | 18539 sentences recorded by 54 speakers |
+| Dev    | 2.81  | 2    | 4      | 2050 sentences recorded by 6 speakers   |
+| Test   | 2.85  | 3    | 3      | 2041 sentences recorded by 6 speakers   |
 
 ## Dataset Creation
 
@@ -129,7 +135,7 @@ XBMU-AMDO31 dataset is a speech recognition corpus of Amdo Tibetan dialect. The
 
 ### Licensing Information
 
-[More Information Needed]
+This dataset is distributed under CC BY-SA 4.0.
 
 ### Citation Information