Update public-facing references

README.md

@@ -35,14 +35,14 @@ It contains short synthetic videos with controlled action variations and two com
 
 The 26,167 training pairs constitute the approximately 26K examples reported in the paper. The validation split is a separate held-out benchmark set.
 
-Each MP4 is stored once and may be referenced by multiple preference examples or task formats. Video filenames are content-derived SHA-256 identifiers; no source filesystem paths or source metadata are included.
+Each MP4 is stored once and may be referenced by multiple preference examples or task formats. Video filenames use content-derived SHA-256 identifiers.
 
 ## Loading
 
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("tobi1modna/CounterVid")
+dataset = load_dataset("aimagelab/CounterVid")
 train = dataset["train"]
 validation = dataset["validation"]
 ```
@@ -68,14 +68,12 @@ The `videos` column contains a list of videos, and `video_roles` gives their ord
 
 ## Creation and safety
 
-CounterVid uses real PE Video Dataset examples only to select anchor frames and captions; the released preference videos are synthetic. The generation pipeline applies automated sexual-content and broader harmful-content screening, and flagged samples are excluded from the final dataset. The release does not include PVD source metadata, local paths, training logs, human-evaluation records, or PaMi-VDPO Crop/Shuffle baseline augmentations.
+CounterVid uses real PE Video Dataset examples only to select anchor frames and captions; the released preference videos are synthetic. The generation pipeline applies automated sexual-content and broader harmful-content screening, and flagged samples are excluded from the final dataset.
 
 ## Intended use and limitations
 
 This dataset is intended for research on video-language grounding, preference optimization, action recognition, and temporal reasoning. Synthetic videos may contain generation artifacts or residual semantic ambiguity. Models trained on this dataset may still hallucinate and should not be used as the sole basis for high-stakes decisions.
 
-License terms for the public release must be confirmed before changing this repository from private to public.
-
 For code and complete training details, see the [CounterVid repository](https://github.com/aimagelab/CounterVid) and [project page](https://aimagelab.github.io/CounterVid/).
 
 ## Citation

release_manifest.json

@@ -3,8 +3,8 @@
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@@ -116573,7 +116573,7 @@
       }
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-  "repo_id": "tobi1modna/CounterVid",
+  "repo_id": "aimagelab/CounterVid",
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     "train": {