Add files using upload-large-folder tool

.gitattributes

@@ -56,3 +56,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+UGC360-S.z03 filter=lfs diff=lfs merge=lfs -text
+UGC360-M.z01 filter=lfs diff=lfs merge=lfs -text
+UGC360-S.z02 filter=lfs diff=lfs merge=lfs -text
+UGC360-S.z01 filter=lfs diff=lfs merge=lfs -text
+UGC360-M.z02 filter=lfs diff=lfs merge=lfs -text

README.md

@@ -3,27 +3,62 @@ license: cc-by-4.0
 tags:
 - 360-degree
 - video compression
-pretty_name: User Generated Content 360
+- spherical video
+- image sequence
+- video
+- pytorch-compatible
+pretty_name: UGC360
 size_categories:
 - 10K<n<100K
+configs:
+  - config_name: UGC360-S
+  - config_name: UGC360-M
+  - config_name: UGC360-L
 ---
 
 # UGC360
 
+![Preview](./preview.jpg)
+
 Dataset of 6866 9-frame 360-degree video sequences collected from 1321 unique videos from Vimeo and Youtube licensed under a Creative Commons License.
 The dataset is split into three subsets UGC360-S, UGC360-M, and UGC360-L to ease data handling.
 
 | Subset | Resolutions | Minimum | Maximum | Clips |
 |----------|:-----------:|:---------:|:---------:|------:|
-| UGC360-S | .5K - 2.5K | 640x320 | 2560x1440 | 5080 |
-| UGC360-M | 3K - 6K | 3072x1536 | 5760x2880 | 1618 |
-| UGC360-L | 8K | 7680x3840 | 7680x4320 | 168 |
+| [UGC360-S](https://huggingface.co/datasets/your-username/ugc360/resolve/main/UGC360-S.zip) | .5K - 2.5K | 640x320 | 2560x1440 | 5080 |
+| [UGC360-M](https://huggingface.co/datasets/your-username/ugc360/resolve/main/UGC360-M.zip) | 3K - 6K    | 3072x1536 | 5760x2880 | 1618 |
+| [UGC360-L](https://huggingface.co/datasets/your-username/ugc360/resolve/main/UGC360-L.zip) | 8K         | 7680x3840 | 7680x4320 | 168  |
 
 ## License
 
-The overall UGC360 dataset is licensed under CC-BY-SA-4.0.
-The individual clips are licensed as to their original video license.
-Clip licenses are summarized in the respective clip tables `ugc360-s.csv`, `ugc360-m.csv`, and `ugc360-l.csv` in column `license`.
+The **UGC360 subset** is licensed under **Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)**.
+
+Each individual clip within the dataset originates from videos published under various **Creative Commons licenses** (e.g., CC-BY, CC-BY-SA). The corresponding license for each clip is documented in the CSV metadata files within each subset folder:
+
+- `UGC360-S/ugc360-s.csv`
+- `UGC360-M/ugc360-m.csv`
+- `UGC360-L/ugc360-l.csv`
+
+Each row contains a `license` column indicating the license of the source video.
+
+### Attribution and Compliance
+
+We collected only videos explicitly marked as Creative Commons on their original platforms (YouTube or Vimeo). For each clip, the dataset includes attribution information:
+
+- Video ID
+- Clip ID
+- Publisher
+- Original video URL
+- License type
+- Publication date
+
+All derived images (frames) comply with the terms of the original licenses and are redistributed accordingly. If you use this dataset, you are required to:
+
+1. Comply with the CC license listed for each clip (e.g., provide attribution if using a CC-BY licensed clip),
+2. Attribute the dataset as a whole as:
+   > UGC360 Dataset (CC BY-SA 4.0)
+
+If you redistribute or modify this dataset, you must do so under the same license (CC BY-SA 4.0).
 
 ## Publication
 
@@ -36,4 +71,4 @@ If you use this dataset, please cite
   booktitle = {accepted for the IEEE/CVF International Conference on Computer Vision (ICCV)},
   year      = {2025}
 }
-```
+```

UGC360-L.zip

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+size 40242066632

UGC360-M.z01

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UGC360-M.z02

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UGC360-M.zip

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+size 40545353377

UGC360-S.z01

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UGC360-S.z02

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UGC360-S.z03

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UGC360-S.zip

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