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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - video-classification
+  - feature-extraction
+language:
+  - en
+tags:
+  - video
+  - indian-streets
+  - walking-tour
+  - v-jepa
+  - scene-detection
+size_categories:
+  - n<1K
+---
+
+# WalkIndia-50 Video Clips
+
+Video clips from Indian street walking tours for evaluating video foundation models (V-JEPA 2) on non-Western urban scenes.
+
+## Dataset Description
+
+| Property | Value |
+|----------|-------|
+| Total Clips | 337 |
+| Duration Range | 4.0s - 8.4s |
+| Mean Duration | 5.3s |
+| Source | [@WalkinginIndia YouTube](https://www.youtube.com/@WalkinginIndia) |
+
+### Scene Types
+
+| Scene | Clips | Description |
+|-------|-------|-------------|
+| hilltown | 114 | Mussoorie - Camel's Back Road hill station |
+| metro | 112 | Delhi Metro - Dilli Haat INA Station underground |
+| temple | 111 | Golden Temple, Amritsar - religious site & bazaar |
+
+## Processing Pipeline
+
+1. **Download**: `yt-dlp` (10 min per video)
+2. **Scene Detection**: `PySceneDetect` ContentDetector (threshold=27.0)
+3. **Intelligent Re-split**: Long clips split using:
+   - ContentDetector (threshold=15.0) for subtle changes
+   - AdaptiveDetector for gradual transitions
+   - Fixed 5s chunks as fallback
+
+## Intended Use
+
+- Evaluate V-JEPA 2 video embeddings on Indian urban scenes
+- Test geographic transfer of video foundation models
+- Research on non-Western video understanding
+
+## Citation
+
+If you use this dataset, please cite:
+
+```
+@dataset{walkindia50,
+  title={WalkIndia-50: Indian Street Video Clips},
+  author={Anonymous},
+  year={2026},
+  url={https://huggingface.co/datasets/anonymousML123/walkindia-50-clips}
+}
+```
+
+## License
+
+CC-BY-4.0 (Creative Commons Attribution 4.0)
+
+Original videos from @WalkinginIndia YouTube channel.

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