Update README.md

README.md

@@ -96,7 +96,7 @@ speech_ds = load_dataset("openslr/librispeech_asr", "clean", split="test[:1]")
 speech = speech_ds[0]["audio"]["array"]          
 
 # 2. Load one Treble10 RIR
-rir_ds = load_dataset("treble-technologies/current-Treble10-RIR", split="rir_mono", streaming=True)
+rir_ds = load_dataset("treble-technologies/Treble10-RIR", split="rir_mono", streaming=True)
 rir_rec = next(iter(rir_ds))
 rir = rir_rec["audio"]["array"]
 rir_sr = rir_rec["audio"]["sampling_rate"]
@@ -131,8 +131,7 @@ from datasets import load_dataset, Audio
 from torch.utils.data import DataLoader
 
 # Load the dataset in streaming mode
-# rir_ds = load_dataset("treble-technologies/current-Treble10-RIR", split="rir_mono", streaming=True)
-rir_ds = load_dataset("treble-technologies/debug-Treble10-RIR", split="rir_mono", streaming=True)
+rir_ds = load_dataset("treble-technologies/Treble10-RIR", split="rir_mono", streaming=True)
 rir_ds = rir_ds.cast_column("audio", Audio())
 
 
@@ -164,7 +163,7 @@ import matplotlib.pyplot as plt
 import numpy as np
 
 ds = load_dataset(
-    "treble-technologies/debug-Treble10-RIR",
+    "treble-technologies/Treble10-RIR",
     split="rir_6ch",
     streaming=True,
 )