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This dataset contains a compressed folder of the data and MATLAB scripts used produce relevant figures and candidates for GRITCLEAN: A glitch veto scheme for Gravitational wave data as presented in https://arxiv.org/abs/2401.15237  The codes in this dataset include: A PSO-based matched filtering search pipeline which can be run on either the positive or the negative chirp time space. A standalone MATLAB script called GRITCLEAN.m which can run the GRITCLEAN hierarchical vetoes on a set of positive and negative chirp time space estimated parameters.  A plotting script to generate relevant figures. The files in this dataset include: GVSsegPSDtrainidxs.mat, a binary MATLAB file containing training indices for all segments from which the Power Spectral Densities (PSDs) are estimated, this is done via the scripts provided, namely, getsegPSD.m and createPSD.m. A sample HDF5 file used (H-H1_GWOSC_O3a_4KHZ_R1-1243394048-4096.hdf5) JSON files containing information about the data segments and the strain data files from which they originate from.  Text files containing the parameters estimated by the PSO-based pipeline across the positive and negative chirp time space runs.  Detailed instructions on dependencies, downloading the dataset and running the codes are given in a README.txt file included with this dataset. The user is recommended to go through this file first. The scripts enclosed have dependencies on JSONLAB , the Parallel Computing Toolbox and Signal Processing Toolbox for MATLAB, along with additional scripts provided in GitHub repositories  Accelerated-Network-Analysis  and SDMBIGDAT19 . Instructions on installing these dependencies are provided in README.txt. All codes have been developed and tested on MATLAB R2022 and R2023.