Update README.md

README.md

@@ -6,7 +6,6 @@ task_categories:
 tags:
   - video
   - tubelets
-  - vjepa
   - egocentric
   - raw-frames
   - computer-vision
@@ -14,9 +13,9 @@ size_categories:
   - 10K<n<100K
 ---
 
-# VJEPA Raw Tubelet Dataset (L2-Norm / CTD)
+#  Tubelet Dataset 
 
-Pre-extracted raw video tubelets from the [Egocentric-10K](https://huggingface.co/datasets/builddotai/Egocentric-10K) dataset, processed using the canonical **V-JEPA preprocessing pipeline**.
+Pre-extracted raw video tubelets from the [Egocentric-10K](https://huggingface.co/datasets/builddotai/Egocentric-10K) dataset
 
 ## Tensor Format
 
@@ -31,9 +30,6 @@ Each  file is a single tubelet saved with  and can be loaded with .
 | **Resolution** | 384 × 384 center-cropped |
 | **Pixel Range** | 0–255 (unnormalized) |
 
-## Preprocessing Pipeline (V-JEPA Canonical)
-
-The preprocessing exactly follows Meta's V-JEPA training protocol:
 
 ### 1. Frame Rate Downsampling
 - Source videos are downsampled to **4 FPS** using FFmpeg's  filter.
@@ -71,8 +67,3 @@ Files are partitioned across multiple root directories (, , , ...) to comply wit
 - **Content**: Egocentric (first-person) video data from industrial/factory environments
 - **Factories**: factory_001 through factory_050
 
-## Hardware Used for Extraction
-
-- **GPU**: NVIDIA A40 (46 GB VRAM, 2 NVDEC chips)
-- **CPU**: 128 cores
-- **Decoding**: Hardware-accelerated NVDEC via FFmpeg with 10 concurrent decode threads