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FIFA Challenge 2026 Dataset

This is the central private repository for Team 4 working on the FIFA 2026 Challenge. This dataset contains video data, skeletal tracking results, and training checkpoints.

πŸ“‚ Folder Structure

Folder Name Description
Training_Videos Raw video files for model training.
WorldPose_Data 3D coordinate data for player poses.
Train_Data Processed labels and metadata for the training set.
FIFA-Skeletal-Tracking-Light-2026 Light-weight skeletal tracking outputs.
checkpoints_fifa Saved model weights and training states.
DATA General auxiliary data and configuration files.
compressed_videos.zip Archive of high-resolution video data (3.95 GB).

πŸš€ Getting Started

Accessing via Python

To use this data in Google Colab, you must be a member of the fifa-challenge-team organization and use your Hugging Face Access Token.

from huggingface_hub import snapshot_download, notebook_login

# Authenticate yourself
notebook_login()

# Download the full dataset
snapshot_download(
    repo_id="fifa-challenge-team/fifa-challenge",
    repo_type="dataset",
    local_dir="./fifa_data"
)
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