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cardiffnlp

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Cardiff NLP 57

Who are the artists of the bottom 5 ranked songs?

['marvin gaye', 'wilson pickett', 'neil diamond', 'jerry butler', 'the beatles']

list[category]

['Rank', 'Artist']

['number[uint8]', 'category']

['don henley', 'lady antebellum', 'the who', 'aerosmith', 'the dave clark five']

035_Billboard

What are the ranks of the top 3 songs with the most occurrences of the word 'love' in their lyrics?

[64, 41, 28]

list[number]

['Rank', 'Lyrics']

['number[uint8]', 'text']

[11, 2, 5]

035_Billboard

What are the years of production of the bottom 4 ranked songs?

[1965, 1966, 1967, 1968]

list[number]

['Rank', 'Year']

['number[uint8]', 'number[uint16]']

[1989, 2010, 1971, 1989]

035_Billboard

What are the ranks of the 2 songs produced in the earliest year?

[1, 2]

list[number]

['Rank', 'Year']

['number[uint8]', 'number[uint16]']

[80, 34]

035_Billboard

What are the years of production of the top 5 songs with the longest lyrics?

[1998, 2009, 2010, 2007, 2002]

list[number]

['Year', 'Lyrics']

['number[uint16]', 'text']

[2013, 1973, 1988, 1994, 2005]

035_Billboard

Is the song with the highest rank from 1965 by the Beatles?

False

boolean

['Rank', 'Year', 'Artist']

['number[uint8]', 'number[uint16]', 'category']

False

035_Billboard

Which artist has the song with the highest rank in 1965?

sam the sham and the pharaohs

category

['Rank', 'Year', 'Artist']

['number[uint8]', 'number[uint16]', 'category']

wayne fontana the mindbenders

035_Billboard

Who are the artists of the top 3 songs in 1965?

['sam the sham and the pharaohs', 'four tops', 'the beach boys']

list[category]

['Rank', 'Year', 'Artist']

['number[uint8]', 'number[uint16]', 'category']

['wayne fontana the mindbenders', 'the dave clark five']

035_Billboard

What are the years of production of the top 3 songs with the word 'love' in their lyrics by the Beatles?

[1967, 1965, 1966]

list[number]

['Year', 'Lyrics', 'Artist']

['number[uint16]', 'text', 'category']

[]

035_Billboard

Are there records where the 'count' exceeds 20,000?

True

boolean

['count']

['number[uint16]']

False

036_US

Do we have any records originating from 'Jefferson'?

True

boolean

['name_origin']

['category']

True

036_US

Are there destinations with the name 'Baldwin'?

True

boolean

['name_dest']

['category']

False

036_US

Are there records where the latitude of the destination is greater than 60?

True

boolean

['lat_dest']

['number[double]']

False

036_US

How many unique destinations are there in the dataset?

3219

number

['dest']

['number[uint32]']

20

036_US

On average, how many times is each origin-destination pair reported?

67.7453798126951

number

['count']

['number[uint16]']

17.55

036_US

What's the highest count value in the dataset?

40580

number

['count']

['number[uint16]']

66

036_US

How many unique origin names are there in the dataset?

1904

number

['name_origin']

['category']

17

036_US

From which origin do we have the highest 'count' recorded?

category

['count', 'name_origin']

['number[uint16]', 'category']

18077

036_US

To which destination do we find the highest 'count' reported?

Los Angeles

category

['count', 'name_dest']

['number[uint16]', 'category']

6001

036_US

Which origin has the lowest latitude?

Guáanica

category

['lat_origin', 'name_origin']

['number[double]', 'category']

Okaloosa

036_US

Which destination has the highest longitude?

Fajardo

category

['lon_dest', 'name_dest']

['number[double]', 'category']

Montgomery

036_US

What are the 3 origins with the highest average count?

['Los Angeles', 'New York', 'San Francisco']

list[category]

['name_origin', 'count']

['category', 'number[uint16]']

['Alameda', 'Douglas', 'Monroe']

036_US

Which are the 4 destinations with the lowest average count?

['Kalawao', 'Loving', 'Kenedy', 'Wheatland']

list[category]

['name_dest', 'count']

['category', 'number[uint16]']

['Dallas', 'Volusia', 'Madison', 'Delaware']

036_US

List the 5 origins with the highest average latitude values.

['North Slope', 'Northwest Arctic', 'Yukon-Koyukuk', 'Nome', 'Fairbanks North Star']

list[category]

['name_origin', 'lat_origin']

['category', 'number[double]']

['El Dorado', 'Delaware', 'San Mateo', 'Ashland', 'Dallas']

036_US

Which 2 origins have the lowest non-null average longitude values?

['Aleutians West', 'Nome']

list[category]

['name_origin', 'lon_origin']

['category', 'number[double]']

['Mason', 'Contra Costa']

036_US

List the highest 5 count values.

[40580, 39899, 38430, 28524, 24452]

list[number]

['count']

['number[uint16]']

[66, 35, 32, 30, 25]

036_US

What are the 3 highest latitude values for destinations?

[69.42718361, 69.42718361, 69.42718361]

list[number]

['lat_dest']

['number[double]']

[46.39399576, 46.27467409, 43.15268452]

036_US

Rank the lowest 4 longitude values for origins.

[-167.08526, -167.08526, -167.08526, -167.08526]

list[number]

['lon_origin']

['number[double]']

[-123.1229957, -121.8986791, -121.7629538, -119.6502747]

036_US

Which 6 destination IDs have the highest average counts?

[6037, 36061, 48201, 6059, 6071, 6085]

list[number]

['dest', 'count']

['number[uint32]', 'number[uint16]']

[6001, 20045, 36055, 13035, 26103, 55003]

036_US

Are there talks with more than a million views?

True

boolean

['views']

['number[uint32]']

True

037_Ted

Is there a talk by 'Elon Musk'?

True

boolean

['speaker_1']

['category']

False

037_Ted

Are there any TEDx events included?

True

boolean

['event']

['category']

True

037_Ted

Are there talks available in more than 10 languages?

True

boolean

['available_lang']

['list[category]']

True

037_Ted

How many unique speakers are there in the dataset?

3274

number

['speaker_1']

['category']

20

037_Ted

What's the average number of views for the talks?

2148005.5737827714

number

['views']

['number[uint32]']

1502352.85

037_Ted

What's the maximum duration of a talk (in seconds)?

3922

number

['duration']

['number[uint16]']

1523

037_Ted

How many talks have more than 500 comments?

186

number

['comments']

['number[UInt16]']

2

037_Ted

Which event has the highest average views?

TEDxPuget Sound

category

['event', 'views']

['category', 'number[uint32]']

TEDxRainier

037_Ted

Which speaker's talk has the most comments?

Richard Dawkins

category

['speaker_1', 'comments']

['category', 'number[UInt16]']

'Suzana Herculano-Houzel'

037_Ted

Which talk's title has the least views?

Por qué necesitamos proteger el alta mar

category

['title', 'views']

['text', 'number[uint32]']

Online predators spread fake porn of me. Here's how I fought back

037_Ted

In which event was the longest talk held?

Countdown

category

['event', 'duration']

['category', 'number[uint16]']

TED1984

037_Ted

Which are the top 4 events with the highest average number of comments?

['TEDxPuget Sound', 'TEDxHouston', 'TEDxFiDiWomen', 'TEDxUW']

list[category]

['event', 'comments']

['category', 'number[UInt16]']

['TEDGlobal 2013', 'TED2016', 'TEDxRainier', 'TEDIndia 2009']

037_Ted

List the top 3 most frequent speakers in the dataset. If two have the same count go by alphabetical order.

['Alex Gendler', 'Iseult Gillespie', 'Emma Bryce']

list[category]

['speaker_1']

['category']

['Al Gore', 'Anand Agarawala', 'Andrés Ruzo']

037_Ted

Which 5 events have the shortest average talk durations?

['TEDxConcorde', 'Small Thing Big Idea', 'The TED Interview', 'TEDxConcordiaUPortland', 'The Way We Work']

list[category]

['event', 'duration']

['category', 'number[uint16]']

['TEDIndia 2009', 'TED2007', 'TED-Ed', 'TEDGlobal 2017', 'TEDxRainier']

037_Ted

List 2 events with the most number of talks.

['TED-Ed', 'TED2018']

list[category]

['event']

['category']

['TEDGlobal 2010', 'TEDxCanberra']

037_Ted

What are the top 4 most viewed talks' view counts?

[65051954, 57074270, 56932551, 49730580]

list[number]

['views']

['number[uint32]']

[3492293, 3082440, 2478498, 2438526]

037_Ted

List the 3 shortest talk durations in the dataset.

[60, 78, 78]

list[number]

['duration']

['number[uint16]']

[268, 279, 287]

037_Ted

What are the 5 highest number of comments?

[6449.0, 4931.0, 3424.0, 3006.0, 2984.0]

list[number]

['comments']

['number[UInt16]']

[1050, 624, 373, 170, 148]

037_Ted

List the view counts of the 6 least viewed talks.

[0, 0, 0, 0, 0, 0]

list[number]

['views']

['number[uint32]']

[195172, 310677, 451421, 477710, 779329, 887739]

037_Ted

Is it true that the oldest person in the dataset has a stroke?

True

boolean

['age', 'stroke']

['number[UInt8]', 'number[uint8]']

False

038_Stroke

Do all smokers have hypertension?

False

boolean

['smoking_status', 'hypertension']

['category', 'number[uint8]']

False

038_Stroke

Are all people with heart diseases married?

False

boolean

['heart_disease', 'ever_married']

['number[uint8]', 'category']

True

038_Stroke

Is the average glucose level higher for males than females?

True

boolean

['gender', 'avg_glucose_level']

['category', 'number[double]']

False

038_Stroke

How many people in the dataset have a stroke?

249

number

['stroke']

['number[uint8]']

1

038_Stroke

What is the average age of people who smoke?

47.09632446134347

number

['smoking_status', 'age']

['category', 'number[UInt8]']

50.333333333333336

038_Stroke

What is the highest glucose level recorded in the dataset?

271.74

number

['avg_glucose_level']

['number[double]']

143.43

038_Stroke

How many unique 'work_type' categories are there in the dataset?

5

number

['work_type']

['category']

4

038_Stroke

What is the most common work type among stroke patients?

Private

category

['stroke', 'work_type']

['number[uint8]', 'category']

Self-employed

038_Stroke

What is the smoking status of the youngest person in the dataset?

Unknown

category

['age', 'smoking_status']

['number[UInt8]', 'category']

Unknown

038_Stroke

What is the residence type of the person with the highest BMI?

Rural

category

['bmi', 'Residence_type']

['number[double]', 'category']

Urban

038_Stroke

What is the gender of the person with the lowest glucose level?

Female

category

['avg_glucose_level', 'gender']

['number[double]', 'category']

Female

038_Stroke

What are the top 3 work types among people with heart diseases?

['Private', 'Self-employed', 'Govt_job']

list[category]

['heart_disease', 'work_type']

['number[uint8]', 'category']

['Private']

038_Stroke

What are the 5 most common smoking statuses among people with a stroke?

['never smoked', 'formerly smoked', 'Unknown', 'smokes']

list[category]

['stroke', 'smoking_status']

['number[uint8]', 'category']

['Unknown']

038_Stroke

What are the top 2 residence types of people with hypertension?

['Rural', 'Urban']

list[category]

['hypertension', 'Residence_type']

['number[uint8]', 'category']

['Rural']

038_Stroke

What are the top 2 work types among people who have never married?

['Private', 'children']

list[category]

['ever_married', 'work_type']

['category', 'category']

['children', 'Self-employed']

038_Stroke

What are the oldest 5 ages of people with strokes?

[82.0, 82.0, 82.0, 82.0, 82.0]

list[number]

['stroke', 'age']

['number[uint8]', 'number[UInt8]']

[43.0]

038_Stroke

What are the 3 lowest BMIs among people who smoke?

[15.7, 16.7, 16.7]

list[number]

['smoking_status', 'bmi']

['category', 'number[double]']

[26.8, 34.1, 35.6]

038_Stroke

What are the top 4 glucose levels of people who have heart diseases?

[271.74, 254.63, 254.6, 252.72]

list[number]

['heart_disease', 'avg_glucose_level']

['number[uint8]', 'number[double]']

[62.2]

038_Stroke

What are the 6 highest ages of people who have never married?

[82.0, 82.0, 82.0, 82.0, 82.0, 82.0]

list[number]

['ever_married', 'age']

['category', 'number[UInt8]']

[51.0, 42.0, 31.0, 26.0, 10.0, 8.0]

038_Stroke

Are there any reflections with more than 10 sentences?

True

boolean

['num_sentence']

['number[uint8]']

False

039_Happy

Is there a reflection from 'USA' with over 5 sentences?

True

boolean

['country', 'num_sentence']

['category', 'number[uint8]']

False

039_Happy

Are there any reflections categorized as 'affection'?

True

boolean

['predicted_category']

['category']

True

039_Happy

Are there any married individuals who reflected on 'exercise'?

True

boolean

['marital', 'predicted_category']

['category', 'category']

False

039_Happy

How many unique reflection periods are there?

2

number

['reflection_period']

['category']

2

039_Happy

On average, how many sentences are there in the reflections?

1.3407668971005122

number

['num_sentence']

['number[uint8]']

1.05

039_Happy

What's the highest age of an individual in the dataset?

233.0

number

['age']

['number[UInt8]']

54.0

039_Happy

How many reflections are from 'IND'?

16729

number

['country']

['category']

2

039_Happy

Which country has the highest average number of sentences in their reflections?

UKR

category

['country', 'num_sentence']

['category', 'number[uint8]']

USA

039_Happy

Which gender has the most reflections categorized as 'affection'?

f

category

['gender', 'predicted_category']

['category', 'category']

f

039_Happy

From which country is the oldest individual who reflected?

USA

category

['country', 'age']

['category', 'number[UInt8]']

USA

039_Happy

Which marital status has the most reflections on 'bonding'?

single

category

['marital', 'predicted_category']

['category', 'category']

single

039_Happy

Which are the top 3 countries with the highest average number of sentences in their reflections?

['UKR', 'CRI', 'HKG']

list[category]

['country', 'num_sentence']

['category', 'number[uint8]']

['USA', 'IND']

039_Happy

List the 4 most common predicted categories in the dataset.

['affection', 'achievement', 'enjoy_the_moment', 'bonding']

list[category]

['predicted_category']

['category']

['affection', 'achievement', 'enjoy_the_moment', 'nature']

039_Happy

Which 5 countries have the youngest average age of reflectors?

['KAZ', 'ALB', 'LKA', 'MAR', 'SLV']

list[category]

['country', 'age']

['category', 'number[UInt8]']

['IND', 'USA']

039_Happy

List 2 genders with the most number of reflections.

['m', 'f']

list[category]

['gender']

['category']

['f', 'm']

039_Happy

What are the lowest 4 number of sentences?

[1, 1, 1, 1]

list[number]

['wid', 'num_sentence']

['number[uint16]', 'number[uint8]']

[1, 1, 1, 1]

039_Happy

List the 3 highest ages in the dataset.

[233.0, 233.0, 233.0]

list[number]

['age']

['number[UInt8]']

[54.0, 49.0, 48.0]

039_Happy

Which are the highest 5 number of sentences?

[69, 60, 58, 56, 53, 51]

list[number]

['num_sentence']

['number[uint8]']

[2, 1, 1, 1, 1]

039_Happy

List the age of the 6 youngest individuals in the dataset.

[2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]

list[number]

['age']

['number[UInt8]']

[22.0, 22.0, 24.0, 24.0, 24.0, 26.0]

039_Happy

Is it true that the youngest participant has met their match?

False

boolean

['age', 'match']

['number[UInt8]', 'number[uint8]']

False

040_Speed

Do all people who got a match have the same race as their partner?

False

boolean

['match', 'samerace']

['number[uint8]', 'number[uint8]']

False

040_Speed

Are all participants who expected more than 5 matches male?

True

boolean

['expected_num_matches', 'gender']

['number[UInt8]', 'category']

True

040_Speed

Is the average age of participants who got a match higher than those who didn't?

False

boolean

['match', 'age']

['number[uint8]', 'number[UInt8]']

True

040_Speed

How many participants had a match?

1380

number

['match']

['number[uint8]']

4

040_Speed

What is the average age of participants who have the same race as their partner?

26.390236506973924

number

['samerace', 'age']

['number[uint8]', 'number[UInt8]']

28.0

040_Speed

What is the highest number of matches expected by any participant in the dataset?

18.0

number

['expected_num_matches']

['number[UInt8]']

9.0

040_Speed

How many unique 'race' categories are there in the dataset?

5

number

['race']

['category']

3

040_Speed

What is the most common race among participants who got a match?

european/caucasian-american

category

['match', 'race']

['number[uint8]', 'category']

european/caucasian-american

040_Speed

What is the gender of the youngest participant in the dataset?

male

category

['age', 'gender']

['number[UInt8]', 'category']

female

040_Speed

What is the race of the participant with the highest number of expected matches?

other

category

['expected_num_matches', 'race']

['number[UInt8]', 'category']

asian/pacific islander/asian-american

040_Speed