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Phoenix14T Extracted Features
This dataset contains pre-computed visual features for the Phoenix14T German Sign Language (DGS) dataset. These features are extracted using I3D, S3D, and CLIP ViT models.
Dataset Description
Original Dataset: RWTH-PHOENIX-Weather 2014 T
Models Used:
- I3D: Inflated 3D ConvNet
- S3D: Separable 3D ConvNet.
- CLIP (ViT-B/32 or L/14)
Data Structure
The dataset is organized by model type. Each entry corresponds to a video segment from the Phoenix14T train, dev, or test splits.
Feature Dimensions
| Model | Feature Dimension |
|---|---|
| I3D | 1024 |
| S3D | 832 |
| CLIP (ViT) | 768 |
Data Fields
name: The original Phoenix14T clip name (e.g.,01January_2011_Friday_tagesschau_default-0).sign: The extracted tensor (NumPy array).gloss: The corresponding sign language glosses.text: The German translation.
Usage
from huggingface_hub import snapshot_download
# Load a specific feature set
snapshot_download(repo_id="Shakibyzn/phoenix14t-features", allow_patterns="data/i3d/*.npz", repo_type="dataset")
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