{
  "packs": [
    {
      "id": "simcity",
      "name": "SimCity",
      "description": "Classic city-simulation status phrases.",
      "attribution": "Source: genact data/simcity.txt (MIT), Copyright 2020 Sven-Hendrik Haase. https://github.com/svenstaro/genact",
      "words": [
        {
          "present_tense": "Adding hidden agendas",
          "past_tense": "Added"
        },
        {
          "present_tense": "Adjusting bell curves",
          "past_tense": "Adjusted"
        },
        {
          "present_tense": "Aesthesizing industrial areas",
          "past_tense": "Aesthesized"
        },
        {
          "present_tense": "Aligning covariance matrices",
          "past_tense": "Aligned"
        },
        {
          "present_tense": "Applying Feng Shui shaders",
          "past_tense": "Applied"
        },
        {
          "present_tense": "Applying theatre soda layer",
          "past_tense": "Applied"
        },
        {
          "present_tense": "Asserting packed exemplars",
          "past_tense": "Asserted"
        },
        {
          "present_tense": "Attempting to lock back-buffer",
          "past_tense": "Attempted"
        },
        {
          "present_tense": "Binding sapling root system",
          "past_tense": "Bound"
        },
        {
          "present_tense": "Breeding fauna",
          "past_tense": "Bred"
        },
        {
          "present_tense": "Building data trees",
          "past_tense": "Built"
        },
        {
          "present_tense": "Bureacritizing bureaucracies",
          "past_tense": "Bureacritized"
        },
        {
          "present_tense": "Calculating inverse probability matrices",
          "past_tense": "Calculated"
        },
        {
          "present_tense": "Calculating llama expectoration trajectory",
          "past_tense": "Calculated"
        },
        {
          "present_tense": "Calibrating blue skies",
          "past_tense": "Calibrated"
        },
        {
          "present_tense": "Charging ozone layer",
          "past_tense": "Charged"
        },
        {
          "present_tense": "Coalescing cloud formations",
          "past_tense": "Coalesced"
        },
        {
          "present_tense": "Cohorting exemplars",
          "past_tense": "Cohorted"
        },
        {
          "present_tense": "Collecting meteor particles",
          "past_tense": "Collected"
        },
        {
          "present_tense": "Compounding inert tessellations",
          "past_tense": "Compounded"
        },
        {
          "present_tense": "Compressing fish files",
          "past_tense": "Compressed"
        },
        {
          "present_tense": "Computing optimal bin packing",
          "past_tense": "Computed"
        },
        {
          "present_tense": "Concatenating sub-contractors",
          "past_tense": "Concatenated"
        },
        {
          "present_tense": "Containing existential buffer",
          "past_tense": "Contained"
        },
        {
          "present_tense": "Debarking ark ramp",
          "past_tense": "Debarked"
        },
        {
          "present_tense": "Debunching unionized commercial services",
          "past_tense": "Debunched"
        },
        {
          "present_tense": "Deciding what message to display next",
          "past_tense": "Decided"
        },
        {
          "present_tense": "Decomposing singular values",
          "past_tense": "Decomposed"
        },
        {
          "present_tense": "Decrementing tectonic plates",
          "past_tense": "Decremented"
        },
        {
          "present_tense": "Deleting ferry routes",
          "past_tense": "Deleted"
        },
        {
          "present_tense": "Depixelating inner mountain surface back faces",
          "past_tense": "Depixelated"
        },
        {
          "present_tense": "Depositing slush funds",
          "past_tense": "Deposited"
        },
        {
          "present_tense": "Destabilizing economic indicators",
          "past_tense": "Destabilized"
        },
        {
          "present_tense": "Determining width of blast fronts",
          "past_tense": "Determined"
        },
        {
          "present_tense": "Deunionizing bulldozers",
          "past_tense": "Deunionized"
        },
        {
          "present_tense": "Dicing models",
          "past_tense": "Diced"
        },
        {
          "present_tense": "Diluting livestock nutrition variables",
          "past_tense": "Diluted"
        },
        {
          "present_tense": "Downloading satellite terrain data",
          "past_tense": "Downloaded"
        },
        {
          "present_tense": "Exposing flash variables to streak system",
          "past_tense": "Exposed"
        },
        {
          "present_tense": "Extracting resources",
          "past_tense": "Extracted"
        },
        {
          "present_tense": "Factoring pay scale",
          "past_tense": "Factored"
        },
        {
          "present_tense": "Fixing election outcome matrix",
          "past_tense": "Fixed"
        },
        {
          "present_tense": "Flood-filling ground water",
          "past_tense": "Flood-Filled"
        },
        {
          "present_tense": "Flushing pipe network",
          "past_tense": "Flushed"
        },
        {
          "present_tense": "Gathering particle sources",
          "past_tense": "Gathered"
        },
        {
          "present_tense": "Generating jobs",
          "past_tense": "Generated"
        },
        {
          "present_tense": "Gesticulating mimes",
          "past_tense": "Gesticulated"
        },
        {
          "present_tense": "Graphing whale migration",
          "past_tense": "Graphed"
        },
        {
          "present_tense": "Hiding Willio Webnet mask",
          "past_tense": "Hid"
        },
        {
          "present_tense": "Implementing impeachment routine",
          "past_tense": "Implemented"
        },
        {
          "present_tense": "Increasing accuracy of RCI simulators",
          "past_tense": "Increased"
        },
        {
          "present_tense": "Increasing magmafacation",
          "past_tense": "Increased"
        },
        {
          "present_tense": "Initializing my Sim tracking mechanism",
          "past_tense": "Initialized"
        },
        {
          "present_tense": "Initializing rhinoceros breeding timetable",
          "past_tense": "Initialized"
        },
        {
          "present_tense": "Initializing robotic click-path AI",
          "past_tense": "Initialized"
        },
        {
          "present_tense": "Inserting sublimated messages",
          "past_tense": "Inserted"
        },
        {
          "present_tense": "Integrating curves",
          "past_tense": "Integrated"
        },
        {
          "present_tense": "Integrating illumination form factors",
          "past_tense": "Integrated"
        },
        {
          "present_tense": "Integrating population graphs",
          "past_tense": "Integrated"
        },
        {
          "present_tense": "Iterating cellular automata",
          "past_tense": "Iterated"
        },
        {
          "present_tense": "Lecturing errant subsystems",
          "past_tense": "Lectured"
        },
        {
          "present_tense": "Mixing genetic pool",
          "past_tense": "Mixed"
        },
        {
          "present_tense": "Modeling object components",
          "past_tense": "Modeled"
        },
        {
          "present_tense": "Mopping occupant leaks",
          "past_tense": "Mopped"
        },
        {
          "present_tense": "Normalizing power",
          "past_tense": "Normalized"
        },
        {
          "present_tense": "Obfuscating Quigley matrix",
          "past_tense": "Obfuscated"
        },
        {
          "present_tense": "Overconstraining dirty industry calculations",
          "past_tense": "Overconstrained"
        },
        {
          "present_tense": "Partitioning city grid singularities",
          "past_tense": "Partitioned"
        },
        {
          "present_tense": "Perturbing matrices",
          "past_tense": "Perturbed"
        },
        {
          "present_tense": "Pixelating nude patch",
          "past_tense": "Pixelated"
        },
        {
          "present_tense": "Polishing water highlights",
          "past_tense": "Polished"
        },
        {
          "present_tense": "Populating lot templates",
          "past_tense": "Populated"
        },
        {
          "present_tense": "Preparing sprites for random walks",
          "past_tense": "Prepared"
        },
        {
          "present_tense": "Prioritizing landmarks",
          "past_tense": "Prioritized"
        },
        {
          "present_tense": "Projecting law enforcement pastry intake",
          "past_tense": "Projected"
        },
        {
          "present_tense": "Realigning alternate time frames",
          "past_tense": "Realigned"
        },
        {
          "present_tense": "Reconfiguring user mental processes",
          "past_tense": "Reconfigured"
        },
        {
          "present_tense": "Relaxing splines",
          "past_tense": "Relaxed"
        },
        {
          "present_tense": "Removing road network speed bumps",
          "past_tense": "Removed"
        },
        {
          "present_tense": "Removing texture gradients",
          "past_tense": "Removed"
        },
        {
          "present_tense": "Removing vehicle avoidance behavior",
          "past_tense": "Removed"
        },
        {
          "present_tense": "Resolving GUID conflict",
          "past_tense": "Resolved"
        },
        {
          "present_tense": "Reticulating splines",
          "past_tense": "Reticulated"
        },
        {
          "present_tense": "Retracting Phong shader",
          "past_tense": "Retracted"
        },
        {
          "present_tense": "Retrieving from back store",
          "past_tense": "Retrieved"
        },
        {
          "present_tense": "Reverse engineering image consultant",
          "past_tense": "Engineered"
        },
        {
          "present_tense": "Routing neural network infrastructure",
          "past_tense": "Routed"
        },
        {
          "present_tense": "Scattering rhino food sources",
          "past_tense": "Scattered"
        },
        {
          "present_tense": "Scrubbing terrain",
          "past_tense": "Scrubbed"
        },
        {
          "present_tense": "Searching for llamas",
          "past_tense": "Searched"
        },
        {
          "present_tense": "Seeding architecture simulation parameters",
          "past_tense": "Seeded"
        },
        {
          "present_tense": "Sequencing particles",
          "past_tense": "Sequenced"
        },
        {
          "present_tense": "Setting advisor moods",
          "past_tense": "Set"
        },
        {
          "present_tense": "Setting inner deity indicators",
          "past_tense": "Set"
        },
        {
          "present_tense": "Setting universal physical constants",
          "past_tense": "Set"
        },
        {
          "present_tense": "Sonically enhancing occupant-free timber",
          "past_tense": "Enhanced"
        },
        {
          "present_tense": "Speculating stock market indices",
          "past_tense": "Speculated"
        },
        {
          "present_tense": "Splatting transforms",
          "past_tense": "Splatted"
        },
        {
          "present_tense": "Stratifying ground layers",
          "past_tense": "Stratified"
        },
        {
          "present_tense": "Sub-sampling water data",
          "past_tense": "Sub-Sampled"
        },
        {
          "present_tense": "Synthesizing gravity",
          "past_tense": "Synthesized"
        },
        {
          "present_tense": "Synthesizing wavelets",
          "past_tense": "Synthesized"
        },
        {
          "present_tense": "Time-compressing simulator clock",
          "past_tense": "Time-Compressed"
        },
        {
          "present_tense": "Weathering buildings",
          "past_tense": "Weathered"
        },
        {
          "present_tense": "Zeroing crime network",
          "past_tense": "Zeroed"
        }
      ]
    }
  ]
}