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367.854797	142.678009	-15.802814	-338.68927	296.485931	114.453636	-11.43364	-273.264618	120.646027	49.435143	-6.187669	-109.878761	71.78521	45.233231	-20.126404	-51.980759	36.686157	21.718353	-11.08049	-27.411856	55.384129	21.89572	-1.584861	-50.847492	54.129276	21.534012	-0.412692	-49.659786	39.441574	15.997739	-1.769881	-36.008022	19.281715	12.048726	-5.508496	-14.009612	19.322897	11.936783	-5.398374	-14.2037	17.886303	10.906071	-5.219418	-13.180862	33.563339	11.886806	-1.439801	-31.354881	34.652935	7.671196	-9.085097	-32.549034	17.112589	10.56163	-5.204273	-12.418059	12.272329	5.292299	-0.585564	-11.057069	7.609752	4.887433	-2.014234	-5.473956	12.906152	5.144986	-0.308465	-11.832275	7.490174	4.928669	-1.387916	-5.466682	12.559983	3.476197	-3.59409	-11.521795	8.09957	2.276983	-3.410439	-6.98479	9.964591	4.043919	-0.208414	-9.104744	9.584197	3.766132	0.330326	-8.807041	8.957395	2.040696	-3.031371	-8.178097	8.563987	3.360332	-0.588409	-7.855177	7.16348	3.191278	0.574833	-6.387547	6.621642	2.385726	-2.038603	-5.830828	8.210331	1.851515	-2.508849	-7.595203	5.663331	2.550156	-1.730379	-4.751401	6.897717	1.473788	-1.803257	-6.492666	4.047495	2.016325	-1.11829	-3.326571	5.114667	1.497555	-1.708779	-4.582273	5.598739	1.766996	-1.196991	-5.175984	3.72224	2.080623	-0.41486	-3.058426	5.364723	2.037613	0.26039	-4.955864	4.083521	1.9078	-0.625632	-3.555845	3.674901	1.675	-0.563523	-3.222067	3.910462	1.509197	-0.883593	-3.497614	3.060424	1.485423	-0.913935	-2.514843	2.822549	1.453781	-0.881178	-2.253182	2.388211	1.548481	-0.427065	-1.767308	3.565434	1.546099	0.248505	-3.203145	3.870975	0.949243	-0.959751	-3.627984	4.559157	0.918704	-0.971729	-4.358628	2.111787	1.060233	-0.540763	-1.744455	3.066826	0.838898	-0.767551	-2.848252	2.075195	0.499431	-0.769545	-1.861398	2.36814	0.850223	0.319858	-2.186984	1.360888	0.639816	-0.626421	-1.024816	1.616407	0.550387	-0.693141	-1.352553	1.655319	0.691661	-0.435743	-1.43938	2.711628	0.580904	-0.500864	-2.600887	1.156765	0.657113	-0.243689	-0.920284	1.890949	0.648649	-0.154878	-1.76945	1.999509	0.473355	-0.336996	-1.913219	1.58577	0.491329	-0.195312	-1.495031	2.172688	0.478036	-0.18493	-2.111363	0.927834	0.450554	-0.230942	-0.777524	1.336334	0.411143	-0.107624	-1.266952	0.866213	0.375749	0.17684	-0.760175	1.293133	0.387588	0.100796	-1.229556	1.348552	0.271743	-0.287427	-1.289237	1.088278	0.366642	0.060808	-1.022852	0.693241	0.333403	-0.048542	-0.605862	0.886213	0.274823	0.036716	-0.841723	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0

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Dataset Card for Top Quark Tagging

Dataset Summary

Top Quark Tagging is a dataset of Monte Carlo simulated events produced by proton-proton collisions at the Large Hadron Collider. The top-quark signal and mixed quark-gluon background jets are produced with Pythia8 with its default tune for a center-of-mass energy of 14 TeV. Multiple interactions and pile-up are ignored. The leading 200 jet constituent four-momenta $(E, p_{x}, p_{y}, p_{z})$ are stored, with zero-padding applied to jets with fewer than 200 constituents.

Supported Tasks and Leaderboards

tabular-classification: The dataset can be used to train a model for tabular binary classification, which consists in predicting whether an event is produced from a top signal or quark-gluon background. Success on this task is typically measured by achieving a high accuracy and AUC score.

Dataset Structure

Data Instances

Each instance in the dataset consists of the four-momenta of the leading 200 jet constituents, sorted by $p_{T}$ . For jets with fewer than 200 constituents, zero-padding is applied. The four-momenta of the top-quark are also provided, along with a label in the is_signal_new column to indicate whether the event stems from a top-quark (1) or QCD background (0). An example instance looks as follows:

{'E_0': 474.0711364746094,
 'PX_0': -250.34703063964844,
 'PY_0': -223.65196228027344,
 'PZ_0': -334.73809814453125,
  ...
 'E_199': 0.0,
 'PX_199': 0.0,
 'PY_199': 0.0,
 'PZ_199': 0.0,
 'truthE': 0.0,
 'truthPX': 0.0,
 'truthPY': 0.0,
 'truthPZ': 0.0,
 'ttv': 0,
 'is_signal_new': 0}

Data Fields

The fields in the dataset have the following meaning:

E_i: the energy of jet constituent $i$ .
PX_i: the $x$ component of the jet constituent's momentum
PY_i: the $y$ component of the jet constituent's momentum
PZ_i: the $z$ component of the jet constituent's momentum
truthE: the energy of the top-quark
truthPX: the $x$ component of the top quark's momentum
truthPY: the $y$ component of the top quark's momentum
truthPZ: the $z$ component of the top quark's momentum
ttv: a flag that indicates which split (train, validation, or test) that a jet belongs to. Redundant since each split is provided as a separate dataset
is_signal_new: the label for each jet. A 1 indicates a top-quark, while a 0 indicates QCD background.

Data Splits

	train	validation	test
Number of events	1211000	403000	404000

Licensing Information

This dataset is released under the Creative Commons Attribution 4.0 International license.

Citation Information

@dataset{kasieczka_gregor_2019_2603256,
  author       = {Kasieczka, Gregor and
                  Plehn, Tilman and
                  Thompson, Jennifer and
                  Russel, Michael},
  title        = {Top Quark Tagging Reference Dataset},
  month        = mar,
  year         = 2019,
  publisher    = {Zenodo},
  version      = {v0 (2018\_03\_27)},
  doi          = {10.5281/zenodo.2603256},
  url          = {https://doi.org/10.5281/zenodo.2603256}
}

Contributions

Thanks to @lewtun for adding this dataset.

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Size of the auto-converted Parquet files:

2.53 GB

Number of rows:

2,018,000