Merge branch 'main' of https://huggingface.co/datasets/speechbrain/LargeScaleASR

README.md

@@ -103,7 +103,6 @@ Made of 6 subsets:
 1. **large** contains 25,000 hours of read / spontaneous and clean / noisy transcribed speech.
 2. **medium** contains 2,500 hours of read / spontaneous and clean / noisy transcribed speech.
 3. **small** contains 250 hours of read / spontaneous and clean / noisy transcribed speech.
-4. **clean** contains 13,000 hours of read and clean / less noisy transcribed speech.
 5. **dev** contains 15 hours (more details in the next section).
 6. **test** contains 21 hours (more details in the next section).
 
@@ -123,6 +122,11 @@ import torchaudio
 wav_tensor = torchaudio.load(BytesIO(ds["train"][0]["wav"][bytes]))
 ```
 
+## Training recipe
+
+A full conformer ASR training recipe is available [here](https://github.com/speechbrain/speechbrain/pull/2806).
+
+
 ## Data description (Following information are directly copy-pasted from the SpeechBrain data preparation README)
 
 TLS is a mix of 5 existing dataset with permissive licences. The way it is mixed
@@ -133,7 +137,7 @@ is described in the following table:
 | VoxPopuli | 550/500/50/5/7 | CC0  |
 | LibriHeavy | 11,000/500/50/0/0 | CC BY 4.0 |
 | Librispeech (dev-/test-other) | 0/0/0/5/7 | CC BY 4.0 |
-| yodas | 6,100/500/50/0/0 |  CC BY 3.0 |
+| yodas | 6,100/500/50/1.5/1.5 |  CC BY 3.0 |
 | people's speech | 5,900/500/50/1.5/1.5 | CC-BY 4.0 |
 | CommonVoice 18.0 | 1660/500/50/5/7 | CC0 |