Datasets:

freococo
/

voa_myanmar_asr_audio_2

Tasks:

Automatic Speech Recognition

Audio Classification

Modalities:

Formats:

Languages:

Size:

Tags:

Libraries:

License:

Dataset card Data Studio Files Files and versions

freococo commited on Jun 16

Commit

e1a85f0

·

verified ·

1 Parent(s): ebd7719

Update README.md

Files changed (1) hide show

README.md +5 -3

README.md CHANGED Viewed

@@ -40,14 +40,16 @@ Each .mp3 is paired with a .json file containing structured metadata including f
 ## Usage
 ```python
 from datasets import load_dataset
-# Stream the WebDataset TAR
 ds = load_dataset("freococo/voa_myanmar_asr_audio", split="train", streaming=True)
-data = next(iter(ds))
-meta = data["json"]
 print(meta["file_name"], meta["broadcast_date"], meta["duration"])
 ```
 Each item will have:

 ## Usage
+## Usage
 ```python
 from datasets import load_dataset
+# Stream all TARs under /train/
 ds = load_dataset("freococo/voa_myanmar_asr_audio", split="train", streaming=True)
+sample = next(iter(ds))
+meta = sample["json"]
 print(meta["file_name"], meta["broadcast_date"], meta["duration"])
 ```
 Each item will have: