LHCb Particle Identification Compression Challenge
<p>A dataset containing Particle Identification information for a challenge to compress the contained features. </p> <p>An example of how to use this dataset and a compression benchmark is given here: https://github.com/weissercn/LHCb_PID_Compression</p> <p>-999 is the missing value identifier.</p> <p>The goal is to compress features with the name of the form S[n]x[m], where [n] and [m] are integers. Features of the form S[n]aux[m], where [n] and [m] are integers, contain information present at any time during compression and decompression. These features do not have to be compressed. The feature labelled 'pid' is the truth information of which type of particle an example is. This information is not present in real running conditions, is not present during either compression or decompression and can only be used to evaluate how well the autoencoder did. An example of this is in the example code.<br> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
Topics
Dataset details
- Repository
- zenodo
- Published
- April 25, 2018
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.1230551
Scored with release 0.9.0
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