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  license: cc-by-4.0
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- # Dataset Card for TopLandscape
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  ## Table of Contents
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- - [Dataset Card for TopLandscape](#dataset-card-for-toplandscape)
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  - [Table of Contents](#table-of-contents)
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
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  ### Dataset Summary
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- TopLandscape 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.
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  ### Supported Tasks and Leaderboards
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  ### Data Fields
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- List and describe the fields present in the dataset. Mention their data type, and whether they are used as input or output in any of the tasks the dataset currently supports. If the data has span indices, describe their attributes, such as whether they are at the character level or word level, whether they are contiguous or not, etc. If the datasets contains example IDs, state whether they have an inherent meaning, such as a mapping to other datasets or pointing to relationships between data points.
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  - `E_i`: the energy of jet constituent \\(i\\).
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  - `PX_i`: the \\(x\\) component of the jet constituent's momentum
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  - `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
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  - `is_signal_new`: the label for each jet. A 1 indicates a top-quark, while a 0 indicates QCD background.
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- Note that the descriptions can be initialized with the **Show Markdown Data Fields** output of the [Datasets Tagging app](https://huggingface.co/spaces/huggingface/datasets-tagging), you will then only need to refine the generated descriptions.
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  ### Data Splits
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- | | train | validation | test |
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- |-------------------------|------:|-----------:|-----:|
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- | Number of events | 1211000 | 403000 | 404000 |
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  ### Licensing Information
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+ # Dataset Card for Top Quark Tagging
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  ## Table of Contents
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+ - [Dataset Card for Top Quark Tagging](#dataset-card-for-top-quark-tagging)
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  - [Table of Contents](#table-of-contents)
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  - [Dataset Description](#dataset-description)
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  - [Dataset Summary](#dataset-summary)
 
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  ### Dataset Summary
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+ 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.
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  ### Supported Tasks and Leaderboards
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  ### Data Fields
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+ The fields in the dataset have the following meaning:
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  - `E_i`: the energy of jet constituent \\(i\\).
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  - `PX_i`: the \\(x\\) component of the jet constituent's momentum
 
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  - `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
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  - `is_signal_new`: the label for each jet. A 1 indicates a top-quark, while a 0 indicates QCD background.
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  ### Data Splits
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+ | | train | validation | test |
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+ |------------------|--------:|-----------:|-------:|
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+ | Number of events | 1211000 | 403000 | 404000 |
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  ### Licensing Information
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