Chinastark/bird_dataset huggingface dataset:
Column: zip_code
Name: zip code
Data format: integer
Description: the zip code of the postal point
Column: city
Data format: text
Description: the city where the postal point locates
Column: state
Data format: text
Description: the state of the city
Column: multi_county
Name: multi country
Data format: text
Description: whether the country that the city belongs to is multi_country
Value description: commonsense evidence: The meaning of multi_country is consisting of or involving multiple countries.
Column: type
Data format: text
Description: the type of the postal point
Column: organization 
Data format: text
Description: the organization to which the postal point belongs
Value description: commonsense evidence: 'No data' means the postal point is not affiliated with any organization
Column: time_zone
Name: time zone
Data format: text
Description: the time zone of the postal point location
Column: daylight_savings
Name: daylight savings
Data format: text
Description: whether the location implements daylight savings
Value description: commonsense evidence: Daylight saving is the practice of advancing clocks (typically by one hour) during warmer months so that darkness falls at a later clock time. As a result, there is one 23-hour day in late winter or early spring and one 25-hour day in autumn.
Column: latitude
Data format: real
Description: the latitude of the postal point location
Column: longitude
Data format: real
Description: the longitude of the postal point location
Column: elevation
Data format: integer
Description: the elevation of the postal point location
Column: state_fips
Name: state fips
Data format: integer
Description: state-level FIPS code
Column: county_fips
Name: country fips
Data format: integer
Description: country-level FIPS code
Value description: commonsense evidence: FIPS codes are numbers that uniquely identify geographic areas. The number of digits in FIPS codes varies depending on the level of geography.
Column: region
Data format: text
Description: the region where the postal point locates
Column: division
Data format: text
Description: the division of the organization
Column: population_2020
Name: population 2020
Data format: integer
Description: the population of the residential area in 2020
Value description: commonsense evidence: 'No data' means that the postal point is not affiliated with any organization. Or the organization has no division.
Column: population_2010
Name: population 2010
Data format: integer
Description: the population of the residential area in 2010
Column: households
Data format: integer
Description: the number of the households in the residential area
Column: avg_house_value
Name: average house value
Data format: integer
Description: the average house value in the residential area
Column: avg_income_per_household
Name: average income per household
Data format: integer
Description: the average income per household in the residential area
Column: persons_per_household
Name: persons per household
Data format: real
Description: the number of persons per household residential area
Column: white_population
Name: white population
Data format: integer
Description: the population of white people in the residential area
Column: black_population
Name: black population
Data format: integer
Description: the population of black people in the residential area
Column: hispanic_population
Name: Hispanic population
Data format: integer
Description: the population of Hispanic people in the residential area
Column: asian_population
Name: Asian population
Data format: integer
Description: the population of Asian people in the residential area
Column: american_indian_population
Name: American Indian population
Data format: integer
Description: the population of American Indian people in the residential area
Column: hawaiian_population
Name: Hawaiian population
Data format: integer
Description: the population of Hawaiian people in the residential area
Column: other_population
Name: other population
Data format: integer
Description: the population of other races in the residential area
Column: male_population
Name: male population
Data format: integer
Description: the population of males in the residential area
Column: female_population
Name: female population
Data format: integer
Description: the population of females in the residential area
Column: median_age
Name: median age
Data format: real
Description: the median age of the residential area
Value description: commonsense evidence: gender ratio in the residential area = male_population / female_population if female_population != 0
Column: male_median_age
Name: male median age
Data format: real
Description: the male median age in the residential area
Column: female_median_age
Name: female median age
Data format: real
Description: the female median age in the residential area
Column: residential_mailboxes
Name: residential mailboxes
Data format: integer
Description: the number of residential mailboxes in the residential area
Column: business_mailboxes
Name: business mailboxes
Data format: integer
Description: the number of business mailboxes in the residential area
Column: total_delivery_receptacles
Name: total delivery receptacles
Data format: integer
Description: the total number of delivery receptacles
Column: businesses
Data format: integer
Description: the number of businesses in the residential area
Column: 1st_quarter_payroll
Name: 1st quarter payroll
Data format: integer
Description: the total wages reported in the 1st quarter payroll report of the residential area
Column: annual_payroll
Name: annual payroll
Data format: integer
Description: the total wages reported in the annual payroll report of the residential area
Column: employees
Data format: integer
Description: the number of employees in the residential area
Value description: commonsense evidence: Employers must submit periodic payroll reports to the Internal Revenue Service and state taxing authority. The report is used by employers to report wage information.
Column: water_area
Name: water area
Data format: real
Description: the water area of the residential area
Column: land_area
Name: land area
Data format: real
Description: the land area of the residential area
Column: single_family_delivery_units
Name: single-family delivery units
Data format: integer
Description: the number of single-family delivery units in the residential area
Column: multi_family_delivery_units
Name: multi-family delivery units
Data format: integer
Description: the number of single-family delivery units in the residential area
Value description: commonsense evidence: A single-family unit can be described as a single unit that accommodates only one family or tenant at a time on rent.
Column: total_beneficiaries
Name: total beneficiaries
Data format: integer
Description: the total number of beneficiaries of the postal service
Value description: commonsense evidence: multi-family units are usually under a greater surface area with the capacity to accommodate more than one tenant or multiple families on rent at the same time
Column: retired_workers
Name: retired workers
Data format: integer
Description: the number of retired workers in the residential area
Column: disabled_workers
Name: disable workers
Data format: integer
Description: the number of disabled workers in the residential area
Column: parents_and_widowed
Name: parents and widowed
Data format: integer
Description: the number of parents and widowed in the residential area
Column: spouses
Data format: integer
Description: the number of spouses in the residential area
Column: children
Data format: integer
Description: the number of children in the residential area
Column: over_65
Name: over 65
Data format: integer
Description: the number of people whose age is over 65 in the residential area
Column: monthly_benefits_all
Name: monthly benefits all
Data format: integer
Description: all benefit payments by month 
Value description: commonsense evidence: no. of over_65 can refer to elders. Higher means more elders
if the ratio: over_65 / children is higher: the aging is more serious.
Column: monthly_benefits_retired_workers
Name: monthly benefits retired workers
Data format: integer
Description: monthly benefit payments for retired workers
Value description: usd
Column: monthly_benefits_widowed
Name: monthly benefits widowed
Data format: integer
Description: monthly benefit payments for retired workers