| --- |
| license: mit |
| task_categories: |
| - text-to-3d |
| language: |
| - en |
| tags: |
| - art |
| pretty_name: kit-motion-language |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
|
|
| # 🕺🗣️ KIT Motion-Language Dataset |
|
|
| **Disclaimer**: 🙏 I am not the original author of this dataset. All rights and credit belong to the creators at [KIT H²T](https://motion-annotation.humanoids.kit.edu). This upload is for accessibility purposes only. |
|
|
| ## Dataset Description |
|
|
| This dataset contains **3,966 human motion sequences** with natural language annotations, collected to enable machine learning research in motion-language understanding. |
|
|
| ### Key Features |
| - 🏃 Human motion data in C3D and MMM formats |
| - 📝 Natural language annotations |
| - 📊 Metadata with source information |
| - 🧮 Perplexity scores for annotations |
|
|
| ## Dataset Structure |
| - <id>_annotations.json # Natural language descriptions |
| - <id>_meta.json # Metadata and source information |
| - <id>_mmm.xml # Motion data in MMM format |
| - <id>_raw.c3d # Raw motion capture data |
|
|
| ## 📚 Citation |
| ``` |
| @article{Plappert2016, |
| author = {Matthias Plappert and Christian Mandery and Tamim Asfour}, |
| title = {The {KIT} Motion-Language Dataset}, |
| journal = {Big Data}, |
| year = 2016, |
| volume = {4}, |
| number = {4}, |
| pages = {236--252}, |
| doi = {10.1089/big.2016.0028} |
| } |
| ``` |
