less restrictive license

README.md

@@ -1,9 +1,13 @@
 ---
-license: cc-by-nc-sa-4.0
-task_categories: ["automatic-speech-recognition"]
-language: ["vi"]
+license: cc-by-4.0
+task_categories:
+- automatic-speech-recognition
+- text-to-speech
+language:
+- vi
 pretty_name: InfoRe Technology public dataset №1
-size_categories: ["10K<n<100K"]
+size_categories:
+- 10K<n<100K
 dataset_info:
   features:
   - name: audio
@@ -27,10 +31,25 @@ configs:
 
 official announcement: https://www.facebook.com/groups/j2team.community/permalink/1010834009248719/
 
-25h, 15k samples, InfoRe paid a contractor to read text
+25h, 14.9k samples, InfoRe paid a contractor to read text
 
 official download: `magnet:?xt=urn:btih:1cbe13fb14a390c852c016a924b4a5e879d85f41&dn=25hours.zip&tr=http%3A%2F%2Foffice.socials.vn%3A8725%2Fannounce`
 
 mirror: https://files.huylenguyen.com/25hours.zip
 
-unzip password: `BroughtToYouByInfoRe`
+unzip password: `BroughtToYouByInfoRe`
+
+pre-process: none
+
+need to do: check misspelling
+
+usage with HuggingFace:
+```python
+# pip install -q "datasets[audio]"
+from datasets import load_dataset
+from torch.utils.data import DataLoader
+
+dataset = load_dataset("doof-ferb/infore1_25hours", split="train", streaming=True)
+dataset.set_format(type="torch", columns=["audio", "transcription"])
+dataloader = DataLoader(dataset, batch_size=4)
+```