| # BoxComm-Dataset |
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| BoxComm-Dataset is the official data release for BoxComm, a benchmark for category-aware boxing commentary generation and narration-rhythm evaluation. |
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| ## Resources |
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| - Project Page: https://gouba2333.github.io/BoxComm |
| - Paper: http://arxiv.org/abs/2604.04419 |
| - Code: https://github.com/gouba2333/BoxComm |
| - Benchmark: https://huggingface.co/datasets/gouba2333/BoxComm |
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| ## Overview |
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| This dataset release is intended for training, analysis, and reproducible preprocessing. It contains the complete processed videos together with the released annotations and benchmark metadata. |
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| Recommended structure: |
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| ```text |
| BoxComm-Dataset/ |
| ├── train/ |
| │ ├── videos/ |
| │ ├── events/ |
| │ └── asr/ |
| ├── eval/ |
| │ ├── videos/ |
| │ ├── events/ |
| │ └── asr/ |
| └── metadata/ |
| ``` |
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| The split convention is: |
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| - `train`: video id `< 478` |
| - `eval`: video id `>= 478` |
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| Each event directory should contain: |
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| - one skeleton `.pkl` file |
| - one `video_event_inference_3.json` file |
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| Each ASR JSON file should contain `classified_segments`. |
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| ## What is included |
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| - processed match videos |
| - event annotations |
| - skeleton data |
| - ASR with sentence segmentation |
| - 3-way commentary labels |
| - split metadata |
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| ## Intended uses |
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| - supervised fine-tuning for commentary generation |
| - category-aware commentary evaluation |
| - narration-rhythm analysis |
| - multimodal sports video understanding research |
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| ## Data preparation in the code repository |
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| The official code repository provides: |
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| - `scripts/prep_qwen3vl_sft_data.py` |
| - `scripts/train_qwen3vl.py` |
| - `scripts/infer_qwen3vl.py` |
| - `scripts/eval_metrics.py` |
| - `scripts/eval_streaming_cls_metrics.py` |
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| Repository: https://github.com/gouba2333/BoxComm |
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| ## Licensing |
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| The public release includes processed videos, ASR annotations, event JSON files, skeleton PKL files, and benchmark metadata for research use. |
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| ## Citation |
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| ```bibtex |
| @article{wang2026boxcomm, |
| title={BoxComm: Benchmarking Category-Aware Commentary Generation and Narration Rhythm in Boxing}, |
| author={Wang, Kaiwen and Zheng, Kaili and Deng, Rongrong and Shi, Yiming and Guo, Chenyi and Wu, Ji}, |
| journal={arXiv preprint arXiv:2604.04419}, |
| year={2026} |
| } |
| ``` |
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