Update README.md

README.md

@@ -21,12 +21,47 @@ configs:
   - split: train
     path: data/train-*
 ---
-# Dataset Card for "Nanchang_Dialect_Conversational_Speech_Corpus"
+# Corpus
+
 This dataset is built from Magicdata [ASR-CNANDIACSC: A CHINESE NANCHANG DIALECT CONVERSATIONAL SPEECH CORPUS](https://magichub.com/datasets/nanchang-dialect-conversational-speech-corpus/)
 
-This corpus is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](http://creativecommons.org/licenses/by-nc-nd/4.0/). Please refer to the license for further information.
+This corpus is licensed under a [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License](http://creativecommons.org/licenses/by-nc-nd/4.0/). Please refer to the license for further information.
 
 Modifications: The audio is split in sentences based on the time span on the transcription file. Sentences that span less than 1 second is discarded. Topics of conversation is removed.
 
+# Usage
+
+To load this dataset, use
+
+```python
+from datasets import load_dataset
+dialect_corpus = load_dataset("TingChen-ppmc/Nanchang_Dialect_Conversational_Speech_Corpus")
+```
+
+This dataset only has train split. To split out a test split, use
+
+```python
+from datasets import load_dataset
+train_split = load_dataset("TingChen-ppmc/Nanchang_Dialect_Conversational_Speech_Corpus", split="train")
+# where test=0.5 denotes 0.5 of the dataset will be split to test split
+corpus = train_split.train_test_split(test=0.5)
+```
+
+A sample data would be
+
+```python
+{'audio': 
+	{'path': 'A0001_S001_0_G0001_0.WAV',
+  	 'array': array([-0.00030518, -0.00039673, 
+                     -0.00036621, ..., 	-0.00064087,
+         			 -0.00015259, -0.00042725]),
+  	 'sampling_rate': 16000},
+ 'gender': '女',
+ 'speaker_id': 'G0001',
+ 'transcription': '北京爱数智慧语音采集'
+}
+```
+
+
 
 [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)