Datasets:
nlp-thedeep
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Update README.md
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README.md
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- multi-label-classification
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dataset_info:
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features:
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splits:
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- name: train
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num_examples: 117435
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- multi-label-classification
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dataset_info:
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features:
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- name: entry_id
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dtype: string
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- name: lead_id
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dtype: string
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- name: project_id
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dtype: string
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- name: sectors
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sequence:
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- class_label:
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names:
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0: Agriculture
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1: Cross
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2: Education
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3: Food Security
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4: Health
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5: Livelihood
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6: Logistics
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7: Nutrition
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8: Protection
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9: Shelter
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10: WASH
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- name: pillars_1d
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sequence:
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- class_label:
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names:
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0: Casualties
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1: Context
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2: Covid-19
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3: Displacement
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4: Humanitarian Access
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5: Information And Communication
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6: Shock/Event
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- name: pillars_2d
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sequence:
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- class_label:
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names:
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0: At Risk
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1: Capacities & Response
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2: Humanitarian Conditions
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3: Impact
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4: Priority Interventions
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5: Priority Needs
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- name: subpillars_1d
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sequence:
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- class_label:
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names:
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0: Casualties->Dead
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1: Casualties->Injured
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2: Casualties->Missing
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3: Context->Demography
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4: Context->Economy
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5: Context->Environment
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6: Context->Legal & Policy
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7: Context->Politics
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8: Context->Security & Stability
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9: Context->Socio Cultural
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10: Covid-19->Cases
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11: Covid-19->Contact Tracing
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12: Covid-19->Deaths
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13: Covid-19->Hospitalization & Care
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14: Covid-19->Restriction Measures
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15: Covid-19->Testing
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16: Covid-19->Vaccination
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17: Displacement->Intentions
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18: Displacement->Local Integration
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19: Displacement->Pull Factors
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20: Displacement->Push Factors
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21: Displacement->Type/Numbers/Movements
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22: Humanitarian Access->Number Of People Facing Humanitarian Access Constraints/Humanitarian Access Gaps
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23: Humanitarian Access->Physical Constraints
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24: Humanitarian Access->Population To Relief
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25: Humanitarian Access->Relief To Population
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26: Information And Communication->Communication Means And Preferences
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27: Information And Communication->Information Challenges And Barriers
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28: Information And Communication->Knowledge And Info Gaps (Hum)
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29: Information And Communication->Knowledge And Info Gaps (Pop)
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30: Shock/Event->Hazard & Threats
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31: Shock/Event->Type And Characteristics
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32: Shock/Event->Underlying/Aggravating Factors
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- name: subpillars_2d
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sequence:
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- class_label:
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names:
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0: At Risk->Number Of People At Risk
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1: At Risk->Risk And Vulnerabilities
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2: Capacities & Response->International Response
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3: Capacities & Response->Local Response
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4: Capacities & Response->National Response
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5: Capacities & Response->Number Of People Reached/Response Gaps
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6: Humanitarian Conditions->Coping Mechanisms
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7: Humanitarian Conditions->Living Standards
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8: Humanitarian Conditions->Number Of People In Need
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9: Humanitarian Conditions->Physical And Mental Well Being
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10: Impact->Driver/Aggravating Factors
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11: Impact->Impact On People
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12: Impact->Impact On Systems, Services And Networks
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13: Impact->Number Of People Affected
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14: Priority Interventions->Expressed By Humanitarian Staff
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15: Priority Interventions->Expressed By Population
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16: Priority Needs->Expressed By Humanitarian Staff
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17: Priority Needs->Expressed By Population
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- name: project_title
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dtype: string
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- name: created_at
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dtype: string
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- name: document
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dtype: string
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- name: excerpt
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dtype: string
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splits:
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- name: train
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num_examples: 117435
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