Remove the blanket 'unusable for commercial purposes' claim; state the NC-corpus question neutrally

README.md

@@ -30,11 +30,14 @@ benchmarks.
 
 ## Why this model exists
 
-The standard VoiceCLAP training mix contains **CC BY-NC** (non-commercial)
-corpora: Expresso and EARS (both Meta, CC BY-NC 4.0), and the bulk of
-[Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) (the original
-101k-hour split is CC BY-NC 4.0). That makes models trained on the full mix
-unusable for commercial purposes.
+The standard VoiceCLAP training mix contains corpora released under **CC BY-NC**
+(non-commercial) terms: Expresso and EARS (both Meta, CC BY-NC 4.0), and the
+bulk of [Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) (the
+original 101k-hour split is CC BY-NC 4.0). Whether such terms bind the weights
+of a model trained on that data is a question each user must answer for their
+own jurisdiction and use; LAION licenses its releases on its own assessment.
+This model exists for users who prefer not to have to answer it: every corpus
+in its training lineage permits commercial use.
 
 This model removes every non-commercial source and keeps only commercially
 usable data. A controlled ablation (below) shows the small model loses
@@ -124,5 +127,5 @@ original open_clip implementation (cosine ≥ 0.99999 on both towers).
 **CC-BY-4.0** — all training data is commercially usable (Emilia-YODAS CC BY 4.0,
 LAION's Got Talent, in-house Majestrino), and the architecture/weights carry no
 non-commercial restriction. This is the distinguishing feature of this model
-versus the standard VoiceCLAP releases, which inherit a non-commercial
-restriction from their CC BY-NC training data.
+versus the standard VoiceCLAP releases, whose training mix includes CC BY-NC
+corpora.