LLM annotation output for ACLED dataset

gistfile1.txt

geo=[GeoAnnotation(name='iso', display_name=None, description='The values in the dataset represent the ISO 3166-1 numeric country codes, which are internationally recognized codes assigned to each country and certain territories. In this context, the number 854 corresponds to Burkina Faso. These codes are used for data exchange and to increase clarity and ensure unambiguity when identifying countries on a global scale.', type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.COUNTRY: 'country'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='region', display_name=None, description='This dataset categorizes events based on their geographic location within the continent of Africa, specifically focusing on the sub-region of Western Africa. This area includes countries along the Atlantic coast, from the Sahara Desert in the north to the Gulf of Guinea in the south.', type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.COUNTRY: 'country'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='country', display_name=None, description='This field represents the name of the country where the recorded event took place, indicating the geographical location within which these incidents occurred. In the context of the provided dataset excerpt, all noted events are situated in Burkina Faso.', type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.COUNTRY: 'country'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='admin1', display_name=None, description="This column likely represents the first-level administrative divisions within a country, which could be states, provinces, regions, or departments, depending on the country's specific administrative structure. These divisions are typically responsible for local governance and the implementation of national policies at a regional level. Each value under this column denotes a distinct geographical area, contributing to organizing and analyzing data based on regional distinctions.", type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.STATE: 'state/territory'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='admin2', display_name=None, description='The values represent the second-level administrative divisions within a country, equivalent to counties or districts. These areas are subsets of larger regions, often defined for local governance or statistical purposes.', type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.COUNTY: 'county/district'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='admin3', display_name=None, description="This column represents the third-level administrative division within a country, indicating specific localities, towns, or cities. Examples include Ouagadougou and Bobo-Dioulasso, which are significant urban centers within their respective regions, showcasing the dataset's focus on varying levels of geographical granularity.", type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.CITY: 'municipality/town'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='location', display_name=None, description='This column contains the names of various places, primarily focusing on towns and cities. These places are likely significant for the data collected in the context of the dataset, possibly indicating where specific events or observations have been recorded.', type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.CITY: 'municipality/town'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='latitude', display_name=None, description="This column contains numerical values representing the geographical north-south position of various events or observations on the Earth's surface, measured in degrees from the equator. Positive values indicate locations in the Northern Hemisphere, while negative values indicate locations in the Southern Hemisphere.", type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.LATITUDE: 'latitude'>, primary_geo=True, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='longitude', display_name=None, description="This dataset feature records the east-west position of events on the Earth's surface, measured in degrees. Values are negative to the west of the Prime Meridian.", type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.LONGITUDE: 'longitude'>, primary_geo=True, resolve_to_gadm=None, is_geo_pair='latitude', coord_format=None, qualifies=None, aliases={}, gadm_level=None), GeoAnnotation(name='iso3', display_name=None, description='This column contains the ISO 3166-1 alpha-3 codes representing countries, in this case specifically for Burkina Faso. ISO 3166-1 alpha-3 codes are three-letter country codes defined in ISO 3166-1, part of the ISO 3166 standard issued by the International Organization for Standardization (ISO), and are used to denote countries in a standardized manner for data processing and analysis.', type=<ColumnType.GEO: 'geo'>, geo_type=<GeoType.ISO3: 'iso3'>, primary_geo=None, resolve_to_gadm=None, is_geo_pair=None, coord_format=None, qualifies=None, aliases={}, gadm_level=None)] date=[DateAnnotation(name='event_id_no_cnty', display_name=None, description='This column records the dates of specific events, formatted as day/month/year.', type=<ColumnType.DATE: 'date'>, date_type=<DateType.DATE: 'date'>, primary_date=None, time_format='%d/%m/%Y', associated_columns=None, qualifies=None, aliases={}), DateAnnotation(name='event_date', display_name=None, description='The column records the specific dates on which the recorded events took place, formatted as day, month (in full), and year.', type=<ColumnType.DATE: 'date'>, date_type=<DateType.DATE: 'date'>, primary_date=True, time_format='%d %B %Y', associated_columns=None, qualifies=None, aliases={}), DateAnnotation(name='year', display_name=None, description='This field records the year when an event occurred, formatted as a four-digit number.', type=<ColumnType.DATE: 'date'>, date_type=<DateType.YEAR: 'year'>, primary_date=None, time_format='%Y', associated_columns=None, qualifies=None, aliases={}), DateAnnotation(name='timestamp', display_name=None, description='This column records the date and time of each event in Unix epoch time format, indicating the number of seconds that have elapsed since January 1, 1970 (midnight UTC/GMT).', type=<ColumnType.DATE: 'date'>, date_type=<DateType.EPOCH: 'epoch'>, primary_date=None, time_format='todo', associated_columns=None, qualifies=None, aliases={})] feature=[FeatureAnnotation(name='data_id', display_name=None, description='A unique numerical identifier assigned to each event or observation within the dataset, ensuring each record can be individually distinguished and referenced.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.INT: 'int'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='event_id_cnty', display_name=None, description='Unique identifier for events, combining the country code and a sequential number to ensure that each event is distinctly identified within the dataset.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='time_precision', display_name=None, description='This column represents the level of precision associated with the timing of the events reported in the dataset. A value of 1 typically indicates that the date of the event is known with high precision.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.INT: 'int'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='event_type', display_name=None, description='This dataset categorizes the nature of socio-political events into distinct types such as Protests, Strategic Developments, Battles, Riots, and other classifications. Each entry represents the specific type of event that occurred, reflecting the variety of actions and responses observed within the socio-political landscape during the covered period.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='sub_event_type', display_name=None, description='This field categorizes the specific nature of events documented in the dataset, detailing the varying levels and types of conflict or protest activities, such as peaceful protests, looting, property destruction, overtaking of territory by non-state actors, and violent demonstrations.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='actor1', display_name=None, description='This column contains the names of the primary actors involved in conflict and protest events. These actors may include various groups, organizations, or collective identities that participate in or are directly involved in the incidents reported. The values can range from formal groups, such as political or militant organizations, to more informal groups, such as protesters or rioters, often with a specifier indicating the country or region of operation.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='assoc_actor_1', display_name=None, description='Identifies secondary or associated actors involved in the event, providing details on any additional groups or organizations that played a role alongside the primary actor.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='inter1', display_name=None, description="This column categorizes the type of actor involved in an event, using integers to represent different groups or entities, such as governments, rebels, civilians, etc. Each number corresponds to a specific actor type defined by the dataset's coding scheme.", type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.INT: 'int'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='actor2', display_name=None, description='Identifies the secondary actor involved in conflict events, detailing the specific groups, organizations, or forces participating. This can range from state military and police forces to civilian groups and rioters, indicating their direct or indirect involvement in the reported incidents.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='assoc_actor_2', display_name=None, description='This field records the secondary associated actors involved in the documented events, specifying any groups, organizations, or government bodies that indirectly influence or are linked to the incidents. Examples include political factions, militant groups, or governmental institutions identified by their involvement or association in the context of the event, often highlighting their geographical or temporal identifiers.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='inter2', display_name=None, description='This feature represents the type of actor involved in the reported event, categorized by a numeric code, where each number corresponds to a specific type of actor, such as government forces, rebels, civilians, etc.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.INT: 'int'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='interaction', display_name=None, description="This column represents coded interactions between actors in conflict events, where each unique number designates a specific type of interaction according to the ACLED coding scheme. For instance, codes like '60' might denote violence against civilians, '27' could refer to riots/protests, '12' might categorize battles without a change of territory, and so on, systematically cataloging the nature of conflict engagements.", type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.INT: 'int'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='source', display_name=None, description="This column lists the various sources from which the event data were obtained, including news outlets, social media platforms, and other undisclosed sources. Each entry may encompass multiple sources, illustrating the diverse information channels contributing to the dataset's compilation.", type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='source_scale', display_name=None, description='This field categorizes the origin or scale of the source reporting an event, distinguishing between various types of sources such as national media, local partners, and new media platforms. The classification helps in understanding the reporting perspective and potential bias in the information provided.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='notes', display_name=None, description='Detailed accounts of specific events, including activities, actors involved, and any significant outcomes.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.STR: 'str'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={}), FeatureAnnotation(name='fatalities', display_name=None, description='The number of individuals reported killed in a conflict event or violent incident.', type=<ColumnType.FEATURE: 'feature'>, feature_type=<FeatureType.INT: 'int'>, units='N/A', units_description='N/A', qualifies=None, qualifierrole=None, aliases={})]