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f2104d1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | # BoxComm-Benchmark
BoxComm-Benchmark is the official benchmark release for standardized BoxComm evaluation.
## Resources
- Project Page: https://gouba2333.github.io/BoxComm
- Paper: http://arxiv.org/abs/2604.04419
- Code: https://github.com/gouba2333/BoxComm
## Included files
- `manifests/benchmark_manifest_eval_v1.jsonl`
- `metadata/eval_metadata_v1.csv`
- `examples/generation_prediction_example.jsonl`
- `examples/streaming_prediction_example.jsonl`
- `metrics/version.txt`
## Benchmark tasks
1. Category-conditioned commentary generation
2. Commentary rhythm and class-distribution evaluation
## Evaluation scripts
Use the official scripts in the code repository:
- `scripts/eval_metrics.py`
- `scripts/eval_streaming_cls_metrics.py`
## Prediction formats
### Generation
```json
{"video_id": 478, "segment_index": 0, "t_mid": 1.0, "pred_text": "..."}
```
### Streaming
```json
{"video_id": 478, "responses": [{"start_time": 0.0, "end_time": 1.0, "response": "..."}, ...]}
```
## Citation
```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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