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Train Dataset Topics

mixed output (480)

  • emergency call pain location (body) ∼ 20
  • emergency call callback number of reporter ∼ 20
  • emergency call personal information (age, name, sex, ...) ∼ 20
  • fire department call person trapped in car after accident ∼ 20
  • emergency call geographical location description (country, area, city, street, house number, etc...) ∼ 10
  • vacation geographical location description ∼ 10
  • business transport geographical location description ∼ 10
  • shoplifting geographical location description ∼ 10
  • location description (attributes: city, street, house number, floor in house) ∼ 80
  • medical transport request ∼ 40
  • job interview ∼ 10
  • jobcenter call ∼ 10
  • job talk between friends ∼ 10
  • job talk about benefits ∼ 10
  • real estate transaction ∼ 20
  • real estate investment ∼ 20
  • police call report crime ∼ 40
  • environmental disaster / major loss event (flooding, volcanic eruption, earthquake, oil spill) ∼ 40
  • mental health crises ∼ 40
  • public disturbances ∼ 40

empty output (50)

  • emergency call scenario
  • fire department call scenario
  • police call scenario
  • transport request

Eval Dataset

  • Notitia Kinas cases 1-7
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Models trained or fine-tuned on LiveReader/Suggestions