zenodoopen
Kick vs Punch
<p>This is a pre-processed version of the dataset saved in numpy format. The original dataset is obtained from <a href="http://mocap.cs.cmu.edu/subjects.php">CMU-MOCAP</a>.</p> <p>The data are 3-dimensional arrays of shape [n_samples, time_steps, n_variables]. The data can be loaded as follows:</p> <pre><code>loaded_data = np.load("KickvsPunch.npz") Xtr = loaded_data['Xtr'] # Training data of shape (16, 841, 62) Ytr = loaded_data['Ytr'] # Training labels of shape (16, 1) Xte = loaded_data['Xte'] # Test data of shape (10, 841, 62) Yte = loaded_data['Yte'] # Test labels of shape (10, 1)</code></pre>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0