README.md

---
license: cc-by-4.0
pretty_name: Datasets for Self-Driving Trigger Study at L1
tags:
  - physics
  - high-energy-physics
  - anomaly-detection
  - reinforcement-learning
  - CMS-open-data
size_categories:
  - 1B<n<10B
---

# Datasets for Self-Driving Trigger Study at L1

Mirror of Zenodo record [10.5281/zenodo.17399948](https://doi.org/10.5281/zenodo.17399948) — datasets for
*Learning to Trigger: Reinforcement Learning at the Large Hadron Collider*
([arXiv:2606.23993](https://arxiv.org/abs/2606.23993)).

Derived from **CMS 2016 Open Data** for Level-1 (L1) hadronic objects (jets).
Each file contains reconstructed jet features and the number of primary
vertices (N_PV) per event.

## Files

| File | Size |
|------|------|
| `HToAATo4B.h5` | 70.9 MB |
| `MinBias_1.h5` | 354.0 MB |
| `MinBias_2.h5` | 368.1 MB |
| `TT_1.h5` | 175.7 MB |
| `Trigger_food_Data.h5` | 79.8 MB |
| `Trigger_food_MC.h5` | 210.1 MB |
| `data_Run_2016_283408_longest.h5` | 173.1 MB |
| `data_Run_2016_283876.h5` | 55.4 MB |

- **`MinBias_1.h5`** — min-bias MC background (AD autoencoder training).
- **`MinBias_2.h5`** — alternate min-bias MC background (control-algorithm studies).
- **`TT_1.h5`** — Standard Model t-tbar hadronic signal.
- **`HToAATo4B.h5`** — BSM H→AA→4b signal.
- **`data_Run_2016_283876.h5`** — real CMS 2016 run (AD training, real background).
- **`data_Run_2016_283408_longest.h5`** — longest CMS 2016 run (control-algorithm testing).
- **`Trigger_food_MC.h5`** — precomputed control variables (anomaly score, HT, N_PV) for MC.
- **`Trigger_food_Data.h5`** — precomputed control variables for real data (matched by N_PV).

## Loading

```python
import h5py
from huggingface_hub import hf_hub_download

path = hf_hub_download(repo_id="zixinding/CMS-trigger-l1", filename="Trigger_food_MC.h5",
                       repo_type="dataset")
with h5py.File(path, "r") as f:
    print(list(f.keys()))
```

## Citation

```bibtex
@misc{ding2026learning,
  title         = {Learning to Trigger: Reinforcement Learning at the Large Hadron Collider},
  author        = {Ding, Zixin and Emami, Shaghayegh and Salvi, Giovanna and Tosciri, Cecilia and Gandrakota, Abhijith and Ngadiuba, Jennifer and Tran, Nhan and Herwig, Christian and Miller, David W. and Chen, Yuxin},
  year          = {2026},
  eprint        = {2606.23993},
  archivePrefix = {arXiv},
  primaryClass  = {cs.LG},
  url           = {https://arxiv.org/abs/2606.23993}
}
```