Convert structured data events from ForecastBench to our FQ format

[dpaleka]

{
  "id": "Kuwait.Protests.last30DaysTimes10.gt.Protests.30DayAvgOverPast360DaysPlus1",
  "question": "According to ACLED, will there be more than ten times as many 'Protests' in Kuwait for the 30 days before resolution than one plus the 30-day average of 'Protests' over the past 360 days?'Protests' is a type of event determined by ACLED.",
  "background": "N/A",
  "source_resolution_criteria": "N/A",
  "source_begin_datetime": "N/A",
  "source_close_datetime": "N/A",
  "url": "https://acleddata.com/",
  "continual_resolution": true,
  "forecast_horizons": [
    7,
    30,
    90,
    180,
    365,
    1095,
    1825,
    3650
  ],
  "value_at_freeze_datetime": "1.25",
  "value_at_freeze_datetime_explanation": "One plus the 30-day average of 'Protests' over the past 360 days in Kuwait. This reference value will potentially change as ACLED updates its dataset.",
  "source": "acled",
  "human_prompt": "The Armed Conflict Location & Event Data Project (ACLED) collects real-time data on the locations, dates, actors, fatalities, and types of all reported political violence and protest events around the world. You’re going to predict the probability of the following potential outcome we’ve come up with about some of the data ACLED tracks.",
  "resolution_criteria": "Resolves to the value calculated from the ACLED dataset once the data is published.",
  "freeze_datetime": "2024-04-26T00:00:00+00:00",
  "combination_of": "N/A"
}

[dpaleka]

Not doing this for the paper.