Use a larger input dataset

With this, we should be able to scale the benchmark to 5 timeframes (with 16 events) each.

Therefore with 4 threads, we can have events_per_thread = 4 and up to 5 timeframes.

alice/digi-reco-core-run3-ma/alice-digi-reco-core-run3-ma/alice-digi-reco-core-run3-ma-bmk.sh

@@ -35,7 +35,7 @@ function doOne(){
   sed -i 's/import pandas/#import pandas/g' o2dpg_sim_workflow.py
   export PYTHONPATH=$PYTHONPATH:${O2DPG_ROOT}/MC/bin/
   
-  export HEPSCORE_CCDB_ROOT=/cvmfs/alice.cern.ch/el7-x86_64/Packages/HEPscore-CCDB/v0.1.5-coredigireco-snapshot-compatible-20221215-1
+  export HEPSCORE_CCDB_ROOT=/cvmfs/alice.cern.ch/el7-x86_64/Packages/HEPscore-CCDB/v0.1.5-coredigireco-snapshot-compatible-20221215_v2-1
 
   # make sure O2DPG + O2 is loaded
   [ ! "${O2DPG_ROOT}" ] && echo "Error: This needs O2DPG loaded" && return 1