abstract bool 2
classes | canary_id stringlengths 12 12 | difficulty int64 1 5 | domain stringclasses 13
values | expected_output listlengths 1 1 | frozen_in stringclasses 1
value | grammar_covered bool 2
classes | id stringlengths 6 6 | input unknown | jq_version stringclasses 1
value | license stringclasses 1
value | novel_fields listlengths 0 11 | order_insensitive bool 2
classes | provenance stringclasses 1
value | reference_program stringlengths 3 148 | request stringlengths 18 226 | source stringclasses 1
value | tags listlengths 1 4 | tier int64 1 5 | acceptable_outputs listlengths 2 2 ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
false | 70ff066b07cd | 1 | gaming | [
"unaffiliated"
] | 1.0.0 | true | v1-001 | {
"gamertag": "TurretTess",
"kd_ratio": 1.1,
"matches_won": 44
} | 1.7.1 | CC-BY-4.0 | [
"gamertag",
"matches_won",
"kd_ratio",
"clan_motto"
] | false | hand | .clan_motto // "unaffiliated" | what's TurretTess's clan motto? if the record doesn't have one, just fall back to 'unaffiliated' | original | [
"alternative",
"default"
] | 1 | null |
false | efbe2d0625b2 | 3 | transit | [
[
"Inner",
"Orbital",
"Outer"
]
] | 1.0.0 | true | v1-002 | [
{
"garage": "Elmbridge",
"route_no": "7",
"zone_band": "Inner"
},
{
"garage": "Foxhall",
"route_no": "12X",
"zone_band": "Outer"
},
{
"garage": "Foxhall",
"route_no": "22",
"zone_band": "Inner"
},
{
"garage": "Kestrel Park",
"route_no": "45",
"zone_band": ... | 1.7.1 | CC-BY-4.0 | [
"route_no",
"zone_band",
"garage"
] | true | hand | [.[].zone_band] | unique | Which zone bands do these routes serve? List each band once. | original | [
"pluck",
"unique"
] | 3 | null |
false | 827eb9c294cc | 1 | gaming | [
"IronMantis"
] | 1.0.0 | true | v1-003 | {
"favorite_map": "Rustbelt Canal",
"roster_size": 5,
"squad_captain": {
"gamertag": "IronMantis",
"kd_ratio": 3.02
}
} | 1.7.1 | CC-BY-4.0 | [
"squad_captain",
"gamertag",
"kd_ratio",
"roster_size",
"favorite_map"
] | false | hand | .squad_captain.gamertag | who's captaining this squad? I just need the captain's gamertag, nothing else | original | [
"field_access",
"nested_access"
] | 1 | null |
false | ea6590574b0f | 2 | weather | [
24
] | 1.0.0 | true | v1-004 | {
"borough": "Harkness",
"dewpoint": 7.4,
"gust_kmh": 88,
"uv_index": 5
} | 1.7.1 | CC-BY-4.0 | [
"borough",
"gust_kmh",
"dewpoint",
"uv_index"
] | false | hand | .gust_kmh / 3.6 | floor | the gust speed in whole metres per second: divide gust_kmh by 3.6 and round down | original | [
"arith",
"floor"
] | 2 | null |
false | 7385921b34d8 | 4 | weather | [
"Wed"
] | 1.0.0 | true | v1-005 | [
{
"day_label": "Mon",
"dewpoint_c": 9,
"gust_kmh": 72,
"precip_mm": 0
},
{
"day_label": "Tue",
"dewpoint_c": 12,
"gust_kmh": 48,
"precip_mm": 11
},
{
"day_label": "Wed",
"dewpoint_c": 13,
"gust_kmh": 63,
"precip_mm": 2
},
{
"day_label": "Thu",
"dew... | 1.7.1 | CC-BY-4.0 | [
"day_label",
"precip_mm",
"gust_kmh",
"dewpoint_c"
] | false | hand | [.[] | select(.precip_mm > 0)] | max_by(.gust_kmh) | .day_label | among the days with any rain at all, which one has the strongest gust forecast? just the day label | original | [
"filter",
"max_by",
"pluck"
] | 4 | null |
false | 06ab25c04a28 | 4 | music | [
[
"Copper Veins by Vela Marsh [128 bpm]",
"Salt Orbit by The Umber Set [94 bpm]",
"Glass Harbor by Vela Marsh [112 bpm]"
]
] | 1.0.0 | true | v1-006 | [
{
"artist": "Vela Marsh",
"beats_min": 128,
"playbacks": 2041500,
"tune": "Copper Veins"
},
{
"artist": "The Umber Set",
"beats_min": 94,
"playbacks": 887200,
"tune": "Salt Orbit"
},
{
"artist": "Vela Marsh",
"beats_min": 112,
"playbacks": 1530044,
"tune": "Gl... | 1.7.1 | CC-BY-4.0 | [
"tune",
"artist",
"beats_min",
"playbacks"
] | false | hand | map("\(.tune) by \(.artist) [\(.beats_min) bpm]") | label each song like "Copper Veins by Vela Marsh [128 bpm]" | original | [
"interpolation",
"format"
] | 4 | null |
false | 46178f903124 | 2 | sports | [
[
8,
5,
3,
1
]
] | 1.0.0 | true | v1-007 | [
{
"clean_sheets": 4,
"red_cards": 5,
"squad_name": "Bramble FC"
},
{
"clean_sheets": 9,
"red_cards": 1,
"squad_name": "Ironvale Rovers"
},
{
"clean_sheets": 2,
"red_cards": 8,
"squad_name": "Saltmarsh United"
},
{
"clean_sheets": 6,
"red_cards": 3,
"squad_... | 1.7.1 | CC-BY-4.0 | [
"squad_name",
"red_cards",
"clean_sheets"
] | false | hand | map(.red_cards) | sort | reverse | can you sort the red card counts from highest to lowest? just the raw numbers, don't need the squad names. | original | [
"pluck",
"sort",
"reverse"
] | 2 | null |
false | da8d6f2a17e7 | 3 | gradebook | [
[
{
"form_group": "Birch",
"pupils": 2
},
{
"form_group": "Cedar",
"pupils": 1
},
{
"form_group": "Maple",
"pupils": 3
}
]
] | 1.0.0 | true | v1-008 | [
{
"form_group": "Maple",
"gpa": 3.1,
"pupil": "Aoife Byrne"
},
{
"form_group": "Birch",
"gpa": 3.7,
"pupil": "Jonas Weber"
},
{
"form_group": "Maple",
"gpa": 2.4,
"pupil": "Priya Nair"
},
{
"form_group": "Cedar",
"gpa": 3.9,
"pupil": "Marco Espinoza"
},
... | 1.7.1 | CC-BY-4.0 | [
"pupil",
"form_group",
"gpa"
] | true | hand | group_by(.form_group) | map({form_group: .[0].form_group, pupils: length}) | How many pupils are in each form group? One record per form group with the form_group and a pupils field holding the count. | original | [
"group_by",
"count"
] | 3 | null |
true | a415d39add47 | 2 | abstract | [
[
14,
27
]
] | 1.0.0 | true | v1-009 | [
{
"n": "u",
"t": 1,
"x": 14
},
{
"n": "w",
"t": 0,
"x": 3
},
{
"n": "u",
"t": 1,
"x": 27
},
{
"n": "g",
"t": 0,
"x": 9
}
] | 1.7.1 | CC-BY-4.0 | [
"x",
"n",
"t"
] | false | hand | map(select(.n == "u") | .x) | just the x values from the records where n equals "u" | original | [
"filter",
"pluck"
] | 2 | null |
false | 480e83ec0272 | 2 | recipes | [
[
{
"dietary": "vegan",
"dish": "Charred Leek Galette",
"prep_min": 35
},
{
"dietary": "vegan",
"dish": "Miso Eggplant Bowl",
"prep_min": 25
}
]
] | 1.0.0 | true | v1-010 | [
{
"dietary": "vegan",
"dish": "Charred Leek Galette",
"prep_min": 35
},
{
"dietary": "pescatarian",
"dish": "Smoked Trout Rillettes",
"prep_min": 20
},
{
"dietary": "vegan",
"dish": "Miso Eggplant Bowl",
"prep_min": 25
},
{
"dietary": "omnivore",
"dish": "Duck... | 1.7.1 | CC-BY-4.0 | [
"dish",
"dietary",
"prep_min"
] | true | hand | map(select(.dietary == "vegan")) | keep only the vegan recipes | original | [
"filter",
"compare"
] | 2 | null |
false | 8ae5ab71624b | 2 | lab | [
[
0.5,
0.75,
0
]
] | 1.0.0 | true | v1-011 | [
{
"incubated_hrs": 18,
"ph_reading": 6.5,
"specimen": "SPX-204"
},
{
"incubated_hrs": 24,
"ph_reading": 7.75,
"specimen": "SPX-211"
},
{
"incubated_hrs": 12,
"ph_reading": 7,
"specimen": "SPX-218"
}
] | 1.7.1 | CC-BY-4.0 | [
"specimen",
"ph_reading",
"incubated_hrs"
] | false | hand | map(.ph_reading - 7 | fabs) | how far is each ph reading from a neutral 7, as a positive distance? just the numbers, in order | original | [
"map",
"arith",
"fabs"
] | 2 | null |
false | 716abfaee9eb | 5 | recipes | [
[
{
"dish": "Barley Stew",
"oven_c": 0,
"prep_min": 40,
"slow_cooker": true
},
{
"dish": "Seared Endive",
"oven_c": 210,
"prep_min": 12,
"slow_cooker": false
},
{
"dish": "Lamb Neck Braise",
"oven_c": 150,
"prep_min": 50,
"s... | 1.0.0 | false | v1-012 | [
{
"dish": "Barley Stew",
"oven_c": 0,
"prep_min": 20,
"slow_cooker": true
},
{
"dish": "Seared Endive",
"oven_c": 210,
"prep_min": 12,
"slow_cooker": false
},
{
"dish": "Lamb Neck Braise",
"oven_c": 150,
"prep_min": 25,
"slow_cooker": true
}
] | 1.7.1 | CC-BY-4.0 | [
"dish",
"prep_min",
"slow_cooker",
"oven_c"
] | false | hand | map(if .slow_cooker then .prep_min *= 2 else . end) | double the prep_min of every recipe marked slow_cooker, leave the others exactly as they are, and return the full records | original | [
"if_else",
"update"
] | 5 | null |
false | f57e588523f4 | 1 | realestate | [
{
"asking_k_eur": 655,
"bedrooms": 4,
"mls_code": "MLS-88437"
}
] | 1.0.0 | true | v1-013 | [
{
"asking_k_eur": 412,
"bedrooms": 2,
"mls_code": "MLS-88121"
},
{
"asking_k_eur": 655,
"bedrooms": 4,
"mls_code": "MLS-88437"
},
{
"asking_k_eur": 298,
"bedrooms": 1,
"mls_code": "MLS-88502"
}
] | 1.7.1 | CC-BY-4.0 | [
"mls_code",
"asking_k_eur",
"bedrooms"
] | false | hand | .[1] | what's the full entry for the second listing? | original | [
"index",
"array"
] | 1 | null |
false | 374870085a62 | 5 | lab | [
100
] | 1.0.0 | false | v1-014 | [
{
"fold_factor": 10,
"reagent_lot": "RL_884",
"step_no": 1
},
{
"fold_factor": 4,
"reagent_lot": "RL_902",
"step_no": 2
},
{
"fold_factor": 2.5,
"reagent_lot": "RL_311",
"step_no": 3
}
] | 1.7.1 | CC-BY-4.0 | [
"step_no",
"fold_factor",
"reagent_lot"
] | false | hand | reduce .[] as $s (1; . * $s.fold_factor) | if each fold factor here is applied one after another, what overall dilution factor do you end up with? | original | [
"reduce",
"product"
] | 5 | null |
false | ec75a8610728 | 1 | weather | [
"boolean"
] | 1.0.0 | true | v1-015 | {
"aurora_alert": false,
"dewpoint_c": -3.5,
"snowline_m": 2450
} | 1.7.1 | CC-BY-4.0 | [
"dewpoint_c",
"aurora_alert",
"snowline_m"
] | false | hand | .aurora_alert | type | what JSON type is the aurora alert flag? | original | [
"type",
"field_access"
] | 1 | null |
false | 82f079532a7a | 3 | music | [
[
{
"format": "cassette",
"pressed": 120
},
{
"format": "vinyl_lp",
"pressed": 300
},
{
"format": "picture_disc",
"pressed": 75
}
]
] | 1.0.0 | true | v1-016 | {
"press_site": "GZC4",
"pressing_run": {
"cassette": 120,
"picture_disc": 75,
"vinyl_lp": 300
},
"shift_lead": "Marek"
} | 1.7.1 | CC-BY-4.0 | [
"press_site",
"pressing_run",
"cassette",
"vinyl_lp",
"picture_disc",
"shift_lead"
] | true | hand | .pressing_run | to_entries | map({format: .key, pressed: .value}) | inside pressing_run each physical format is paired with how many copies got pressed — can you unroll that into a list of objects, each carrying a format field and a pressed field? | original | [
"to_entries",
"project"
] | 3 | null |
false | 0707b5c57df3 | 2 | transit | [
[
"RV-207",
"RV-118"
]
] | 1.0.0 | true | v1-017 | {
"bus_fleet": [
{
"bus_no": "RV-207",
"decommission_year": 2028,
"mileage_km": 412000
},
{
"bus_no": "RV-311",
"decommission_year": 2030,
"mileage_km": 388500
},
{
"bus_no": "RV-118",
"decommission_year": 2027,
"mileage_km": 455750
},
... | 1.7.1 | CC-BY-4.0 | [
"garage",
"bus_fleet",
"bus_no",
"mileage_km",
"decommission_year",
"superintendent"
] | false | hand | .bus_fleet | map(select(.mileage_km > 400000) | .bus_no) | from the bus_fleet list, give just the bus numbers of buses with mileage_km over 400000 | original | [
"filter",
"pluck",
"nested"
] | 2 | null |
false | a63cda1483df | 1 | sports | [
[
"2-1",
"1-1",
"3-0"
]
] | 1.0.0 | true | v1-018 | {
"fixture_no": 9,
"halftime_scores": [
"1-0",
"0-0",
"2-1",
"1-1",
"3-0"
],
"referee": "L. Duarte"
} | 1.7.1 | CC-BY-4.0 | [
"fixture_no",
"halftime_scores",
"referee"
] | false | hand | .halftime_scores[-3:] | last three halftime scorelines | original | [
"slice",
"negative_index"
] | 1 | null |
false | c3285bd283b1 | 5 | library | [
{
"QK-201": "Mosses of the High Fells",
"QK-207": "Ferns Underfoot",
"TR-114": "Wet Plate Portraits"
}
] | 1.0.0 | false | v1-019 | [
{
"book_name": "Mosses of the High Fells",
"catalog_code": "QK-201",
"writer_surname": "Brandt"
},
{
"book_name": "Ferns Underfoot",
"catalog_code": "QK-207",
"writer_surname": "Ilves"
},
{
"book_name": "Wet Plate Portraits",
"catalog_code": "TR-114",
"writer_surname": "O... | 1.7.1 | CC-BY-4.0 | [
"catalog_code",
"book_name",
"writer_surname"
] | false | hand | reduce .[] as $b ({}; .[$b.catalog_code] = $b.book_name) | can you build one lookup object that maps each catalog code straight to its book name? | original | [
"reduce",
"object_build"
] | 5 | null |
false | 2fb88eefebce | 5 | gradebook | [
971
] | 1.0.0 | false | v1-020 | [
{
"course_title": "Organic Chemistry",
"credit_hours": 4,
"exam_pct": 82,
"lecturer": "Dr. Whitcombe"
},
{
"course_title": "Medieval History",
"credit_hours": 3,
"exam_pct": 91,
"lecturer": "Prof. Salgado"
},
{
"course_title": "Linear Algebra",
"credit_hours": 5,
... | 1.7.1 | CC-BY-4.0 | [
"course_title",
"exam_pct",
"credit_hours",
"lecturer"
] | false | hand | reduce .[] as $c (0; . + ($c.exam_pct * $c.credit_hours)) | could you work out the weighted exam total for this transcript — multiply each course's exam percent by its credit hours, then add all of that up into one number? | original | [
"reduce",
"arith",
"sum"
] | 5 | null |
false | a76f5e8bb82c | 5 | recipes | [
{
"Bitter Greens Pie": 389,
"Miso Glazed Leeks": 310,
"Pilaf of Spelt": 455
}
] | 1.0.0 | false | v1-021 | [
{
"cuisine": "izakaya",
"diners": 2,
"dish": "Miso Glazed Leeks",
"kcal": 310
},
{
"cuisine": "anatolian",
"diners": 4,
"dish": "Pilaf of Spelt",
"kcal": 455
},
{
"cuisine": "ligurian",
"diners": 6,
"dish": "Bitter Greens Pie",
"kcal": 389
}
] | 1.7.1 | CC-BY-4.0 | [
"dish",
"kcal",
"cuisine",
"diners"
] | false | hand | reduce .[] as $r ({}; .[$r.dish] = $r.kcal) | return one object mapping each dish to its kcal | original | [
"reduce",
"object_build"
] | 5 | null |
false | 3f854e035ead | 5 | civic | [
192500
] | 1.0.0 | false | v1-022 | {
"bureau": "parks_and_greenways",
"fiscal_tag": "FY27_cycle",
"outlays": {
"capital_arm": {
"bandstand_rebuild": 97500,
"fountain_lines": 26400
},
"grants_arm": {
"pollinator_meadow": 8100
},
"upkeep_arm": {
"mower_fleet": 18500,
"trail_regrade": 42000
}
}
... | 1.7.1 | CC-BY-4.0 | [
"fiscal_tag",
"bureau",
"outlays",
"upkeep_arm",
"mower_fleet",
"trail_regrade",
"capital_arm",
"bandstand_rebuild",
"fountain_lines",
"grants_arm",
"pollinator_meadow"
] | false | hand | [.. | numbers] | add | what do all the dollar figures anywhere in this outlay sheet add up to? | original | [
"recursive_descent",
"sum"
] | 5 | null |
false | 3865cb02485d | 3 | gradebook | [
[
8,
9,
7,
6,
7,
9,
9,
10
]
] | 1.0.0 | true | v1-023 | [
{
"homeroom": "3B",
"pupil": "Anika",
"quiz_marks": [
8,
9,
7
]
},
{
"homeroom": "4A",
"pupil": "Tomasz",
"quiz_marks": [
6,
7
]
},
{
"homeroom": "4A",
"pupil": "Keiko",
"quiz_marks": [
9,
9,
10
]
}
] | 1.7.1 | CC-BY-4.0 | [
"pupil",
"quiz_marks",
"homeroom"
] | true | hand | map(.quiz_marks) | flatten | every quiz mark in one flat list | original | [
"map",
"flatten"
] | 3 | null |
false | 1a6104f8de5f | 5 | sports | [
{
"Corsairs": 3,
"Harriers": 2,
"Wanderers": -3
}
] | 1.0.0 | false | v1-024 | [
{
"club_name": "Harriers",
"goals_against": 1,
"goals_for": 3,
"kickoff": "2026-03-07"
},
{
"club_name": "Wanderers",
"goals_against": 2,
"goals_for": 0,
"kickoff": "2026-03-07"
},
{
"club_name": "Harriers",
"goals_against": 1,
"goals_for": 1,
"kickoff": "2026... | 1.7.1 | CC-BY-4.0 | [
"club_name",
"goals_for",
"goals_against",
"kickoff"
] | false | hand | reduce .[] as $m ({}; .[$m.club_name] += ($m.goals_for - $m.goals_against)) | can you boil these match lines down to a single object where each club name is the key and its overall goal difference is the value, summed across all its rows here? | original | [
"reduce",
"arith",
"object_construction"
] | 5 | null |
false | 77cacec48338 | 5 | recipes | [
[
{
"dish": "Smoked Celeriac",
"kcal_n": 420
},
{
"dish": "Rye Porridge",
"kcal_n": 0
},
{
"dish": "Plum Clafoutis",
"kcal_n": 515
}
]
] | 1.0.0 | false | v1-025 | [
{
"dish": "Smoked Celeriac",
"kcal_text": "420",
"pantry_only": true
},
{
"dish": "Rye Porridge",
"kcal_text": "n/a",
"pantry_only": false
},
{
"dish": "Plum Clafoutis",
"kcal_text": "515",
"pantry_only": false
}
] | 1.7.1 | CC-BY-4.0 | [
"dish",
"kcal_text",
"pantry_only"
] | false | hand | map({dish, kcal_n: (try (.kcal_text | tonumber) catch 0)}) | for each recipe emit an object with dish and kcal_n, where kcal_n is kcal_text converted to a number, or 0 if it cannot be converted | original | [
"try_catch",
"tonumber",
"map"
] | 5 | null |
false | 68db5ea18e46 | 2 | clinical | [
1625
] | 1.0.0 | true | v1-026 | [
{
"dosage_mg": 500,
"medication": "amoxicillin",
"ward_name": "maternity"
},
{
"dosage_mg": 400,
"medication": "ibuprofen",
"ward_name": "oncology"
},
{
"dosage_mg": 250,
"medication": "amoxicillin",
"ward_name": "cardiology"
},
{
"dosage_mg": 875,
"medication... | 1.7.1 | CC-BY-4.0 | [
"medication",
"dosage_mg",
"ward_name"
] | false | hand | [.[] | select(.medication == "amoxicillin") | .dosage_mg] | add | the combined dosage_mg across all amoxicillin prescriptions, as one number | original | [
"filter",
"pluck",
"add"
] | 2 | null |
false | 99c2ac740e8a | 3 | clinical | [
"Tomas Keller"
] | 1.0.0 | true | v1-027 | [
{
"bp_diastolic": 82,
"bp_systolic": 128,
"patient": "Iris Delgado",
"ward_name": "Cardiology"
},
{
"bp_diastolic": 95,
"bp_systolic": 161,
"patient": "Tomas Keller",
"ward_name": "Cardiology"
},
{
"bp_diastolic": 74,
"bp_systolic": 117,
"patient": "Ana Sousa",
... | 1.7.1 | CC-BY-4.0 | [
"patient",
"bp_systolic",
"bp_diastolic",
"ward_name"
] | false | hand | max_by(.bp_systolic) | .patient | Which patient has the highest systolic blood pressure? Just give the name. | original | [
"max_by",
"pluck"
] | 3 | null |
false | 4efe36eb7816 | 2 | weather | [
[
{
"cloud_pct": 100,
"forecast_day": "Fri",
"snowfall_cm": 12
},
{
"cloud_pct": 75,
"forecast_day": "Sun",
"snowfall_cm": 7.2
},
{
"cloud_pct": 90,
"forecast_day": "Thu",
"snowfall_cm": 4.5
},
{
"cloud_pct": 40,
"forecast... | 1.0.0 | true | v1-028 | [
{
"cloud_pct": 90,
"forecast_day": "Thu",
"snowfall_cm": 4.5
},
{
"cloud_pct": 100,
"forecast_day": "Fri",
"snowfall_cm": 12
},
{
"cloud_pct": 40,
"forecast_day": "Sat",
"snowfall_cm": 0.5
},
{
"cloud_pct": 75,
"forecast_day": "Sun",
"snowfall_cm": 7.2
}... | 1.7.1 | CC-BY-4.0 | [
"forecast_day",
"snowfall_cm",
"cloud_pct"
] | false | hand | sort_by(.snowfall_cm) | reverse | sort the forecast by snowfall, heaviest first | original | [
"sort",
"reverse"
] | 2 | null |
false | 762605565cb7 | 3 | gaming | [
true
] | 1.0.0 | true | v1-029 | [
{
"gamertag": "Nyxfall",
"kd_ratio": 1.9,
"squadron": "Vipers"
},
{
"gamertag": "QuillDart",
"kd_ratio": 3.4,
"squadron": "Nightjars"
},
{
"gamertag": "EmberSix",
"kd_ratio": 0.8,
"squadron": "Vipers"
},
{
"gamertag": "Mossworm",
"kd_ratio": 2.2,
"squadron... | 1.7.1 | CC-BY-4.0 | [
"gamertag",
"kd_ratio",
"squadron"
] | false | hand | any(.[]; .kd_ratio > 3.0) | true or false: does any player have a kd_ratio above 3.0 | original | [
"any",
"predicate"
] | 3 | null |
false | 70ac42118009 | 3 | transit | [
"12X"
] | 1.0.0 | true | v1-030 | [
{
"interval_min": 12,
"ridership": 6100,
"route_no": "7"
},
{
"interval_min": 8,
"ridership": 4200,
"route_no": "12X"
},
{
"interval_min": 20,
"ridership": 2800,
"route_no": "31A"
},
{
"interval_min": 15,
"ridership": 3900,
"route_no": "22"
}
] | 1.7.1 | CC-BY-4.0 | [
"route_no",
"interval_min",
"ridership"
] | false | hand | min_by(.interval_min) | .route_no | Which route has the shortest interval between buses? Just the route number. | original | [
"min_by",
"pluck"
] | 3 | null |
false | 523a73e3a7fd | 3 | sports | [
4
] | 1.0.0 | true | v1-031 | [
{
"fixture_id": "F-1121",
"goalscorers": [
"K. Mensah",
"R. Duarte"
],
"stadium": "Ashgrove Park"
},
{
"fixture_id": "F-1122",
"goalscorers": [
"T. Bianchi",
"K. Mensah",
"J. Farrell"
],
"stadium": "Millpond Arena"
},
{
"fixture_id": "F-1124"... | 1.7.1 | CC-BY-4.0 | [
"fixture_id",
"goalscorers",
"stadium"
] | false | hand | map(.goalscorers) | flatten | unique | length | How many different players have gotten on the scoresheet across these fixtures? | original | [
"flatten",
"unique",
"count"
] | 3 | null |
false | 91bfe02b58f6 | 4 | clinical | [
[
"J45",
"E11",
"I10",
"K21"
]
] | 1.0.0 | true | v1-032 | [
{
"admitted": true,
"diagnosis_code": "ICD-J45",
"patient_full": "Nora Whitfield",
"pulse_bpm": 88
},
{
"admitted": false,
"diagnosis_code": "ICD-E11",
"patient_full": "Desmond Okafor",
"pulse_bpm": 72
},
{
"admitted": true,
"diagnosis_code": "ICD-I10",
"patient_f... | 1.7.1 | CC-BY-4.0 | [
"patient_full",
"diagnosis_code",
"admitted",
"pulse_bpm"
] | false | hand | map(.diagnosis_code | ltrimstr("ICD-")) | list each patient's diagnosis_code with the leading 'ICD-' stripped off, in the order given | original | [
"ltrimstr",
"pluck"
] | 4 | null |
false | d6725e2e02e2 | 2 | music | [
[
"Glass Meridian",
"Copper Sky",
"Static Bloom"
]
] | 1.0.0 | true | v1-033 | [
{
"album_side": "A",
"beats_per_min": 128,
"on_vinyl": true,
"track_title": "Glass Meridian"
},
{
"album_side": "A",
"beats_per_min": 84,
"on_vinyl": true,
"track_title": "Low Tide Waltz"
},
{
"album_side": "B",
"beats_per_min": 140,
"on_vinyl": false,
"track_... | 1.7.1 | CC-BY-4.0 | [
"track_title",
"beats_per_min",
"album_side",
"on_vinyl"
] | true | hand | map(select(.beats_per_min > 120) | .track_title) | titles of tracks above 120 beats per minute | original | [
"filter",
"pluck"
] | 2 | null |
false | b30afa68fb72 | 5 | lab | [
6.4
] | 1.0.0 | false | v1-034 | {
"assay_grid": {
"bay_one": {
"flasks": [
{
"flask_no": "F-11",
"ph_value": 6.2
}
]
},
"bay_two": {
"flasks": [
{
"flask_no": "F-21",
"ph_value": 7.9
},
{
"flask_no": "F-22",
"ph_value": ... | 1.7.1 | CC-BY-4.0 | [
"probe_route",
"assay_grid",
"bay_one",
"bay_two",
"flasks",
"flask_no",
"ph_value",
"ran_by"
] | false | hand | .probe_route as $r | .assay_grid | getpath($r) | the probe route spells out where to look inside the assay grid, so what value is stored at that exact spot? | original | [
"getpath",
"variable"
] | 5 | null |
false | 71ec0eacb14b | 3 | civic | [
[
72.4,
66.1
]
] | 1.0.0 | true | v1-035 | [
61.2,
72.4,
58.9,
66.1,
49.8
] | 1.7.1 | CC-BY-4.0 | [] | false | hand | sort | reverse | .[0:2] | top two turnout figures, highest first | original | [
"sort",
"reverse",
"slice"
] | 3 | null |
false | f5fb32245dc5 | 3 | recipes | [
[
"lamb_tagine",
"porchetta",
"duck_confit"
]
] | 1.0.0 | true | v1-036 | {
"card_season": "midsummer",
"prep_minutes_by_dish": {
"chilled_soba": 15,
"duck_confit": 75,
"halloumi_wrap": 12,
"lamb_tagine": 45,
"porchetta": 90
}
} | 1.7.1 | CC-BY-4.0 | [
"card_season",
"prep_minutes_by_dish",
"lamb_tagine",
"chilled_soba",
"porchetta",
"halloumi_wrap",
"duck_confit"
] | true | hand | .prep_minutes_by_dish | to_entries | map(select(.value > 30) | .key) | prep_minutes_by_dish pairs every dish with its prep time in minutes — can you fish out just the names of the dishes that need more than 30 minutes and give them to me as a plain list? | original | [
"to_entries",
"filter",
"pluck"
] | 3 | null |
false | d7004a75cb95 | 2 | lab | [
[
"SPX-322",
"SPX-341"
]
] | 1.0.0 | true | v1-037 | [
{
"buffer_kind": "citrate_mix",
"centrifuge_rpm": 3200,
"specimen": "SPX-310"
},
{
"buffer_kind": "phosphate_mix",
"centrifuge_rpm": 2800,
"specimen": "SPX-322"
},
{
"buffer_kind": "citrate_mix",
"centrifuge_rpm": 3200,
"specimen": "SPX-333"
},
{
"buffer_kind": "t... | 1.7.1 | CC-BY-4.0 | [
"specimen",
"buffer_kind",
"centrifuge_rpm"
] | true | hand | map(select(.buffer_kind != "citrate_mix") | .specimen) | which specimens were not prepared with the citrate buffer? just the specimen codes | original | [
"filter",
"pluck"
] | 2 | null |
false | e144aeee85da | 3 | gaming | [
[
{
"roster": [
"NovaStrix",
"QuillFang"
],
"warzone": "Emberfall"
},
{
"roster": [
"HexDrifter",
"SableWisp"
],
"warzone": "Tidecrest"
}
]
] | 1.0.0 | true | v1-038 | [
{
"gamertag": "NovaStrix",
"kd_ratio": 2.1,
"warzone": "Emberfall"
},
{
"gamertag": "HexDrifter",
"kd_ratio": 1.4,
"warzone": "Tidecrest"
},
{
"gamertag": "QuillFang",
"kd_ratio": 0.9,
"warzone": "Emberfall"
},
{
"gamertag": "SableWisp",
"kd_ratio": 1.8,
"... | 1.7.1 | CC-BY-4.0 | [
"gamertag",
"warzone",
"kd_ratio"
] | true | hand | group_by(.warzone) | map({warzone: .[0].warzone, roster: map(.gamertag)}) | gamertag roster per warzone; emit warzone and roster | original | [
"group_by",
"pluck",
"object_construct"
] | 3 | null |
false | 297e786fb387 | 5 | library | [
[
"novella_class",
"doorstopper_class",
"standard_class"
]
] | 1.0.0 | false | v1-039 | [
{
"book_name": "Sonnets for a Lighthouse",
"folio_span": 88,
"print_year": 1954
},
{
"book_name": "Harbor Ledgers",
"folio_span": 540,
"print_year": 1902
},
{
"book_name": "Ferns Underfoot",
"folio_span": 310,
"print_year": 1976
}
] | 1.7.1 | CC-BY-4.0 | [
"book_name",
"folio_span",
"print_year"
] | false | hand | map(if .folio_span < 150 then "novella_class" elif .folio_span < 500 then "standard_class" else "doorstopper_class" end) | going through the volumes in order, which size class does each fall into: novella_class under 150 folios, standard_class under 500, doorstopper_class otherwise? just the class words. | original | [
"if_elif",
"classify"
] | 5 | null |
false | fac7cccfd65d | 3 | civic | [
[
{
"acreage": 0.9,
"easement_ft": 15,
"parcel_no": "PR-3356",
"zoning_class": "C1"
},
{
"acreage": 1.4,
"easement_ft": 0,
"parcel_no": "PR-1187",
"zoning_class": "C1"
},
{
"acreage": 0.25,
"easement_ft": 8,
"parcel_no": "PR-9020"... | 1.0.0 | true | v1-040 | [
{
"acreage": 0.6000000000000001,
"easement_ft": 12,
"parcel_no": "PR-4402",
"zoning_class": "R2"
},
{
"acreage": 1.4,
"easement_ft": 0,
"parcel_no": "PR-1187",
"zoning_class": "C1"
},
{
"acreage": 0.25,
"easement_ft": 8,
"parcel_no": "PR-9020",
"zoning_class":... | 1.7.1 | CC-BY-4.0 | [
"parcel_no",
"zoning_class",
"acreage",
"easement_ft"
] | false | hand | sort_by(.zoning_class, .acreage) | sort parcels by zoning class then acreage | original | [
"sort_by"
] | 3 | null |
false | 99133a740af0 | 3 | civic | [
{
"ballots_cast": 2764,
"disputed": true,
"precinct": "P-11"
}
] | 1.0.0 | true | v1-041 | [
{
"ballots_cast": 1892,
"disputed": false,
"precinct": "P-04"
},
{
"ballots_cast": 2764,
"disputed": true,
"precinct": "P-11"
},
{
"ballots_cast": 941,
"disputed": false,
"precinct": "P-13"
}
] | 1.7.1 | CC-BY-4.0 | [
"precinct",
"ballots_cast",
"disputed"
] | false | hand | max_by(.ballots_cast) | the precinct record with the most ballots cast | original | [
"max_by"
] | 3 | null |
false | 93410abf3e15 | 1 | gradebook | [
[
{
"exam_pct": 88,
"pupil": "Lena Petrov",
"tutor_group": "9F"
},
{
"exam_pct": 79,
"pupil": "Milo Trent",
"tutor_group": "10B"
},
{
"exam_pct": 71,
"pupil": "Theo Marsh",
"tutor_group": "10B"
}
]
] | 1.0.0 | true | v1-042 | [
{
"exam_pct": 93,
"pupil": "Sana Qureshi",
"tutor_group": "11A"
},
{
"exam_pct": 88,
"pupil": "Lena Petrov",
"tutor_group": "9F"
},
{
"exam_pct": 79,
"pupil": "Milo Trent",
"tutor_group": "10B"
},
{
"exam_pct": 71,
"pupil": "Theo Marsh",
"tutor_group": "10... | 1.7.1 | CC-BY-4.0 | [
"pupil",
"exam_pct",
"tutor_group"
] | false | hand | .[1:4] | the 2nd through 4th rows of the honor roll | original | [
"slice"
] | 1 | null |
false | c8db007ab7cb | 2 | recipes | [
[
250,
120,
45,
18
]
] | 1.0.0 | true | v1-043 | [
500,
240,
90,
36
] | 1.7.1 | CC-BY-4.0 | [] | false | hand | map(. / 2) | halve every gram measurement in this list | original | [
"map",
"arith"
] | 2 | null |
false | 15c7606b1ee0 | 1 | music | [
150
] | 1.0.0 | true | v1-044 | [
92,
138,
121,
104,
150,
87
] | 1.7.1 | CC-BY-4.0 | [] | false | hand | max | highest bpm in this list | original | [
"max",
"number"
] | 1 | null |
false | 8cd716be3a16 | 2 | music | [
697
] | 1.0.0 | true | v1-045 | [
{
"album_side": "A",
"beats_min": 118,
"runtime_sec": 214,
"songwriter": "R. Calloway"
},
{
"album_side": "B",
"beats_min": 92,
"runtime_sec": 187,
"songwriter": "J. Petrova"
},
{
"album_side": "A",
"beats_min": 140,
"runtime_sec": 305,
"songwriter": "R. Callo... | 1.7.1 | CC-BY-4.0 | [
"songwriter",
"album_side",
"runtime_sec",
"beats_min"
] | false | hand | map(select(.album_side == "A") | .runtime_sec) | add | add up the runtime_sec of every song on album side A | original | [
"filter",
"sum"
] | 2 | null |
false | 97a7475d443d | 2 | weather | [
3.1
] | 1.0.0 | true | v1-046 | {
"anchored": true,
"buoy_ref": "MB-07",
"hourly_obs": [
{
"gust_kmh": 22,
"visibility_km": 9.4
},
{
"gust_kmh": 47,
"visibility_km": 3.1
},
{
"gust_kmh": 18,
"visibility_km": 12.8
},
{
"gust_kmh": 31,
"visibility_km": 5.6
}
]
} | 1.7.1 | CC-BY-4.0 | [
"buoy_ref",
"anchored",
"hourly_obs",
"visibility_km",
"gust_kmh"
] | false | hand | [.hourly_obs[].visibility_km] | min | the lowest visibility_km among the buoy's hourly observations | original | [
"pluck",
"min"
] | 2 | null |
false | b8eaa039cd89 | 4 | transit | [
"K3"
] | 1.0.0 | true | v1-047 | [
{
"interval_min": 12,
"on_time_pct": 95,
"route_no": "42A",
"terminus": "Millbrook Junction"
},
{
"interval_min": 8,
"on_time_pct": 87.5,
"route_no": "17",
"terminus": "Cedar Quay"
},
{
"interval_min": 10,
"on_time_pct": 92.1,
"route_no": "K3",
"terminus": "Fe... | 1.7.1 | CC-BY-4.0 | [
"route_no",
"interval_min",
"on_time_pct",
"terminus"
] | false | hand | map(select(.interval_min <= 10)) | max_by(.on_time_pct) | .route_no | among routes with interval_min of 10 or less, return the route_no of the one with the highest on_time_pct | original | [
"filter",
"max_by",
"pluck"
] | 4 | null |
false | 1c46cc9034ce | 4 | realestate | [
[
{
"eur_per_sqm": 3284,
"parcel_ref": "PRC-01144"
},
{
"eur_per_sqm": 4000,
"parcel_ref": "PRC-00821"
},
{
"eur_per_sqm": 5000,
"parcel_ref": "PRC-00307"
}
]
] | 1.0.0 | true | v1-048 | [
{
"area_sqm": 103,
"asking_eur": 412000,
"energy_band": "C1",
"parcel_ref": "PRC-00821"
},
{
"area_sqm": 88,
"asking_eur": 289000,
"energy_band": "B2",
"parcel_ref": "PRC-01144"
},
{
"area_sqm": 131,
"asking_eur": 655000,
"energy_band": "A3",
"parcel_ref": "PR... | 1.7.1 | CC-BY-4.0 | [
"parcel_ref",
"asking_eur",
"area_sqm",
"energy_band"
] | false | hand | map({parcel_ref, eur_per_sqm: (.asking_eur / .area_sqm | round)}) | sort_by(.eur_per_sqm) | what is each parcel's price per square metre rounded to the nearest euro, cheapest per metre first? give parcel_ref and eur_per_sqm | original | [
"construct",
"arith",
"sort"
] | 4 | null |
false | b5112c2b389b | 2 | clinical | [
[
{
"diagnosis_code": "C50",
"patient": "V. Lindqvist",
"stay_nights": 11,
"ward_name": "oncology"
},
{
"diagnosis_code": "I21",
"patient": "P. Guerrero",
"stay_nights": 6,
"ward_name": "cardiology"
},
{
"diagnosis_code": "O80",
"patien... | 1.0.0 | true | v1-049 | [
{
"diagnosis_code": "O80",
"patient": "E. Mbeki",
"stay_nights": 3,
"ward_name": "maternity"
},
{
"diagnosis_code": "C50",
"patient": "V. Lindqvist",
"stay_nights": 11,
"ward_name": "oncology"
},
{
"diagnosis_code": "I21",
"patient": "P. Guerrero",
"stay_nights": ... | 1.7.1 | CC-BY-4.0 | [
"patient",
"stay_nights",
"ward_name",
"diagnosis_code"
] | false | hand | sort_by(.stay_nights) | reverse | return the full patient records ordered from most stay_nights to fewest | original | [
"sort",
"reverse"
] | 2 | null |
false | 3c21b78bc030 | 3 | gradebook | [
3
] | 1.0.0 | true | v1-050 | [
{
"elective": "Ceramics",
"gpa": 3.1,
"pupil": "Aoife Byrne"
},
{
"elective": "Robotics",
"gpa": 3.7,
"pupil": "Jonas Weber"
},
{
"elective": "Ceramics",
"gpa": 2.4,
"pupil": "Priya Nair"
},
{
"elective": "Journalism",
"gpa": 3.3,
"pupil": "Tam Nguyen"
}... | 1.7.1 | CC-BY-4.0 | [
"pupil",
"elective",
"gpa"
] | false | hand | [.[].elective] | unique | length | How many different electives are the pupils enrolled in? | original | [
"pluck",
"unique",
"count"
] | 3 | null |
false | 43bc64740212 | 4 | realestate | [
[
"MX-9358 pays 655",
"MX-7741 pays 410"
]
] | 1.0.0 | true | v1-051 | [
{
"hoa_monthly": 410,
"mls_no": "MX-7741",
"year_built": 1998
},
{
"hoa_monthly": 95,
"mls_no": "MX-2103",
"year_built": 2011
},
{
"hoa_monthly": 655,
"mls_no": "MX-9358",
"year_built": 1976
},
{
"hoa_monthly": 230,
"mls_no": "MX-4410",
"year_built": 2020
... | 1.7.1 | CC-BY-4.0 | [
"mls_no",
"hoa_monthly",
"year_built"
] | false | hand | sort_by(.hoa_monthly) | reverse | .[0:2] | map(.mls_no + " pays " + (.hoa_monthly | tostring)) | two highest hoa listings as "<mls number> pays <amount>", highest first | original | [
"sort",
"slice",
"tostring",
"concat"
] | 4 | null |
false | 2858be03660b | 5 | clinical | [
[
120,
200,
350,
410
]
] | 1.0.0 | false | v1-052 | [
{
"hour_mark": "06:00",
"infusion_ml": 120,
"nurse_initials": "KM"
},
{
"hour_mark": "07:00",
"infusion_ml": 80,
"nurse_initials": "KM"
},
{
"hour_mark": "08:00",
"infusion_ml": 150,
"nurse_initials": "DV"
},
{
"hour_mark": "09:00",
"infusion_ml": 60,
"nur... | 1.7.1 | CC-BY-4.0 | [
"hour_mark",
"infusion_ml",
"nurse_initials"
] | false | hand | [foreach .[] as $e (0; . + $e.infusion_ml)] | chart the fluid intake as it builds — after each hourly entry, in order, what's the running total of infusion_ml? give me just the list of running totals. | original | [
"foreach",
"running_total"
] | 5 | null |
false | ebbc446003e2 | 3 | gradebook | [
{
"Birch": 87,
"Cedar": 80,
"Maple": 74
}
] | 1.0.0 | true | v1-053 | {
"grades_by_group": {
"Birch": [
90,
84
],
"Cedar": [
77,
69,
94
],
"Maple": [
72,
88,
62
]
},
"term_label": "Spring 2026"
} | 1.7.1 | CC-BY-4.0 | [
"term_label",
"grades_by_group"
] | false | hand | .grades_by_group | map_values(add / length) | What is the average grade for each form group? Keep the group-to-grades object shape, with each list of grades replaced by its average. | original | [
"map_values",
"avg"
] | 3 | null |
false | 332a8951735a | 1 | recipes | [
"array"
] | 1.0.0 | true | v1-054 | {
"dietary": [
"vegan",
"gluten_free"
],
"dish_moniker": "Green Chile Pozole",
"prep_min": 50
} | 1.7.1 | CC-BY-4.0 | [
"dish_moniker",
"dietary",
"prep_min"
] | false | hand | .dietary | type | what JSON type is the dietary field? | original | [
"type",
"field_access"
] | 1 | null |
false | c027323a0293 | 3 | recipes | [
[
"porchetta",
"paella_mixta",
"lamb_tagine",
"chilled_soba",
"halloumi_wrap"
]
] | 1.0.0 | true | v1-055 | [
{
"cuisine": "valencian",
"dish": "paella_mixta",
"prep_min": 40,
"servings": 8
},
{
"cuisine": "japanese",
"dish": "chilled_soba",
"prep_min": 15,
"servings": 2
},
{
"cuisine": "umbrian",
"dish": "porchetta",
"prep_min": 60,
"servings": 10
},
{
"cuisi... | 1.7.1 | CC-BY-4.0 | [
"dish",
"servings",
"cuisine",
"prep_min"
] | false | hand | sort_by(-.servings) | map(.dish) | line the dishes up from the biggest batch to the smallest going by servings, and just give me the dish names in that order please | original | [
"sort_by",
"pluck"
] | 3 | null |
false | a33518cb7200 | 4 | weather | [
[
"ESE",
"NNW",
"SSE",
"WSW"
]
] | 1.0.0 | true | v1-056 | {
"obs_site": "Tarn Hollow",
"sampled_on": "2026-07-08",
"wind_dirs": [
"ese",
"nnw",
"sse",
"wsw"
]
} | 1.7.1 | CC-BY-4.0 | [
"wind_dirs",
"obs_site",
"sampled_on"
] | false | hand | .wind_dirs | map(ascii_upcase) | wind directions in caps | original | [
"ascii_upcase"
] | 4 | null |
false | 57971dc3d7e8 | 1 | library | [
"B4"
] | 1.0.0 | true | v1-057 | {
"call_no": "813.54 MOR",
"checked_out": false,
"edition": 3,
"shelf": "B4"
} | 1.7.1 | CC-BY-4.0 | [
"call_no",
"shelf",
"checked_out",
"edition"
] | false | hand | .shelf | hey, quick favor — which shelf is this book sitting on? just give me the shelf code | original | [
"field_access",
"object"
] | 1 | null |
false | 0d5705a54548 | 4 | gaming | [
[
{
"gamertag": "NeoFalcon",
"matches_won": 11,
"ping_ms": 24
},
{
"gamertag": "NeoDrifter",
"matches_won": 6,
"ping_ms": 58
}
]
] | 1.0.0 | true | v1-058 | [
{
"gamertag": "NeoFalcon",
"matches_won": 11,
"ping_ms": 24
},
{
"gamertag": "IronGull",
"matches_won": 19,
"ping_ms": 31
},
{
"gamertag": "NeoDrifter",
"matches_won": 6,
"ping_ms": 58
},
{
"gamertag": "Saltlick",
"matches_won": 27,
"ping_ms": 42
}
] | 1.7.1 | CC-BY-4.0 | [
"gamertag",
"matches_won",
"ping_ms"
] | true | hand | map(select(.gamertag | startswith("Neo"))) | can you fish out the full player records for anyone whose gamertag starts with 'Neo'? | original | [
"startswith",
"filter"
] | 4 | null |
false | 72f38ffb0d37 | 4 | recipes | [
"borlotti beans, smoked paprika, fennel bulb, breadcrumbs"
] | 1.0.0 | true | v1-059 | {
"dish_label": "smoky bean cassoulet",
"ingredients": [
"borlotti beans",
"smoked paprika",
"fennel bulb",
"breadcrumbs"
],
"oven_c": 160,
"prep_min": 25
} | 1.7.1 | CC-BY-4.0 | [
"dish_label",
"ingredients",
"oven_c",
"prep_min"
] | false | hand | .ingredients | join(", ") | can I have the ingredient list as one comma-separated line? | original | [
"join",
"pluck"
] | 4 | [
[
"borlotti beans, smoked paprika, fennel bulb, breadcrumbs"
],
[
"borlotti beans,smoked paprika,fennel bulb,breadcrumbs"
]
] |
false | 4c3de148bbe7 | 5 | gaming | [
{
"duos": [
{
"gamertag": "MossyBlade",
"ping_ms": 19
},
{
"gamertag": "TundraFox_9",
"ping_ms": 24
}
],
"patch_at": [
"duos",
1,
"ping_ms"
],
"patch_note_tag": "midseason_retune",
"swap_in": 24
}
] | 1.0.0 | false | v1-060 | {
"duos": [
{
"gamertag": "MossyBlade",
"ping_ms": 19
},
{
"gamertag": "TundraFox_9",
"ping_ms": 88
}
],
"patch_at": [
"duos",
1,
"ping_ms"
],
"patch_note_tag": "midseason_retune",
"swap_in": 24
} | 1.7.1 | CC-BY-4.0 | [
"patch_at",
"swap_in",
"patch_note_tag",
"duos",
"gamertag",
"ping_ms"
] | false | hand | setpath(.patch_at; .swap_in) | what does this whole object look like once the value at the spot named by patch_at is overwritten with the swap_in value? | original | [
"setpath",
"update"
] | 5 | null |
false | ac6a4cb41643 | 4 | music | [
3
] | 1.0.0 | true | v1-061 | [
{
"album_side": "A",
"artist": "Vela Marsh",
"runtime_sec": 227,
"tune": "Copper Veins"
},
{
"album_side": "B",
"artist": "The Umber Set",
"runtime_sec": 245,
"tune": "Salt Orbit"
},
{
"album_side": "B",
"artist": "Vela Marsh",
"runtime_sec": 301,
"tune": "Fen... | 1.7.1 | CC-BY-4.0 | [
"tune",
"artist",
"runtime_sec",
"album_side"
] | false | hand | [.[] | select(.runtime_sec > 240) | .artist] | unique | length | count distinct artists with a song over 240 seconds | original | [
"filter",
"unique",
"count"
] | 4 | null |
false | 7f673650345c | 2 | music | [
816
] | 1.0.0 | true | v1-062 | [
{
"album_side": "A",
"runtime_sec": 201,
"track_title": "Ferrous"
},
{
"album_side": "A",
"runtime_sec": 174,
"track_title": "Umber"
},
{
"album_side": "B",
"runtime_sec": 243,
"track_title": "Cobalt Rain"
},
{
"album_side": "B",
"runtime_sec": 198,
"track... | 1.7.1 | CC-BY-4.0 | [
"track_title",
"runtime_sec",
"album_side"
] | false | hand | map(.runtime_sec) | add | total runtime in seconds across the EP | original | [
"pluck",
"sum"
] | 2 | null |
false | 8efbc5ce204f | 2 | gradebook | [
3
] | 1.0.0 | true | v1-063 | [
{
"absences": 7,
"classroom": "6A",
"pupil": "Hana Suzuki"
},
{
"absences": 2,
"classroom": "6B",
"pupil": "Pedro Vidal"
},
{
"absences": 9,
"classroom": "6A",
"pupil": "Greta Nilsson"
},
{
"absences": 4,
"classroom": "6C",
"pupil": "Yusuf Demir"
},
{
... | 1.7.1 | CC-BY-4.0 | [
"pupil",
"absences",
"classroom"
] | false | hand | [.[] | select(.absences > 5)] | length | how many pupils have more than 5 absences? return the count as a number | original | [
"filter",
"count"
] | 2 | null |
false | d2def8133ed2 | 3 | realestate | [
[
"LR2214",
"LR2257",
"LR2230"
]
] | 1.0.0 | true | v1-064 | [
{
"area_sqm": 74,
"bedrooms": 2,
"hoa_monthly": 310,
"listing_ref": "LR2201"
},
{
"area_sqm": 61,
"bedrooms": 1,
"hoa_monthly": 95,
"listing_ref": "LR2214"
},
{
"area_sqm": 118,
"bedrooms": 3,
"hoa_monthly": 540,
"listing_ref": "LR2189"
},
{
"area_sqm"... | 1.7.1 | CC-BY-4.0 | [
"listing_ref",
"hoa_monthly",
"area_sqm",
"bedrooms"
] | false | hand | sort_by(.hoa_monthly) | .[0:3] | map(.listing_ref) | I'm hunting for cheap fees — can you pull the three listings with the lowest hoa_monthly, cheapest one first, and give me just their listing_ref codes in that order? | original | [
"sort_by",
"slice",
"pluck"
] | 3 | null |
false | 13f2ea9f1055 | 5 | sports | [
[
[
"club_name"
],
[
"tallies",
"goals_for"
],
[
"tallies",
"goals_against"
],
[
"bookings",
"red_cards"
],
[
"bookings",
"yellow_cards"
],
[
"gaffer"
]
]
] | 1.0.0 | false | v1-065 | {
"bookings": {
"red_cards": 2,
"yellow_cards": 37
},
"club_name": "Harriers",
"gaffer": "Renata Squires",
"tallies": {
"goals_against": 22,
"goals_for": 41
}
} | 1.7.1 | CC-BY-4.0 | [
"club_name",
"tallies",
"goals_for",
"goals_against",
"bookings",
"red_cards",
"yellow_cards",
"gaffer"
] | true | hand | [paths(scalars)] | this club sheet is nested a couple of levels deep — can you give me the key-path to every bottom-level value, as a list where each path is itself an array of keys? | original | [
"paths",
"scalars"
] | 5 | null |
false | 6a74af50feab | 3 | clinical | [
"Oncology"
] | 1.0.0 | true | v1-066 | {
"beds_taken": {
"Cardiology": 6,
"Maternity": 4,
"Neurology": 3,
"Oncology": 9
},
"census_date": "2026-07-09",
"clinic_site": "Hillcrest"
} | 1.7.1 | CC-BY-4.0 | [
"census_date",
"clinic_site",
"beds_taken"
] | false | hand | .beds_taken | to_entries | max_by(.value) | .key | Which ward has the most beds taken? | original | [
"to_entries",
"max_by",
"pluck"
] | 3 | null |
false | 554643907105 | 3 | recipes | [
{
"dairy_free": 1,
"gluten_free": 3,
"vegan": 2
}
] | 1.0.0 | true | v1-067 | {
"by_dietary": {
"dairy_free": [
"porchetta"
],
"gluten_free": [
"paella mixta",
"mole negro",
"tlayuda"
],
"vegan": [
"smoky lentil stew",
"charred leek tart"
]
},
"chef_initials": "RQ",
"menu_week": 28
} | 1.7.1 | CC-BY-4.0 | [
"menu_week",
"chef_initials",
"by_dietary",
"vegan",
"gluten_free",
"dairy_free"
] | false | hand | .by_dietary | map_values(length) | under by_dietary each dietary tag holds a list of dish names — can you hand me back just the by_dietary object with every list swapped for a simple count of how many dishes each tag has? | original | [
"map_values",
"count"
] | 3 | null |
false | 59294ac43b2b | 1 | transit | [
"N5"
] | 1.0.0 | true | v1-068 | [
{
"route_no": "41B",
"terminus": "Quayside Wharf",
"wheelchair_ok": true
},
{
"route_no": "22",
"terminus": "Milldam Bridge",
"wheelchair_ok": true
},
{
"route_no": "7X",
"terminus": "Ferncliff Loop",
"wheelchair_ok": false
},
{
"route_no": "N5",
"terminus": "... | 1.7.1 | CC-BY-4.0 | [
"route_no",
"terminus",
"wheelchair_ok"
] | false | hand | .[-1].route_no | route number on the final entry | original | [
"negative_index",
"field_access"
] | 1 | null |
false | fe13a52137d0 | 5 | lab | [
"near_neutral"
] | 1.0.0 | false | v1-069 | [
{
"flask_no": "F-31",
"incubated_hrs": 12,
"ph_value": 6.9
},
{
"flask_no": "F-32",
"incubated_hrs": 12,
"ph_value": 7.2
},
{
"flask_no": "F-33",
"incubated_hrs": 18,
"ph_value": 6.9
}
] | 1.7.1 | CC-BY-4.0 | [
"flask_no",
"ph_value",
"incubated_hrs"
] | false | hand | (map(.ph_value) | add / length) as $m | if $m < 6.5 then "acid_side" elif $m > 7.5 then "alkali_side" else "near_neutral" end | based on the average ph across these flasks, is the batch acid_side (average below 6.5), alkali_side (average above 7.5), or near_neutral? | original | [
"if_elif",
"avg"
] | 5 | null |
false | a2d2bc115701 | 2 | sports | [
[
2,
3,
4,
1
]
] | 1.0.0 | true | v1-070 | [
{
"fixture_no": 301,
"halftime_margin": 2,
"kickoff": "13:00"
},
{
"fixture_no": 302,
"halftime_margin": -3,
"kickoff": "15:30"
},
{
"fixture_no": 303,
"halftime_margin": 4,
"kickoff": "18:00"
},
{
"fixture_no": 304,
"halftime_margin": -1,
"kickoff": "20:1... | 1.7.1 | CC-BY-4.0 | [
"fixture_no",
"halftime_margin",
"kickoff"
] | false | hand | map(.halftime_margin | fabs) | the halftime margins below are positive when the home side led and negative when they trailed — can you give me just the size of each margin, ignoring the sign, in fixture order? | original | [
"map",
"fabs"
] | 2 | null |
false | f0e965bc790a | 3 | clinical | [
[
"Maternity",
"Oncology"
]
] | 1.0.0 | true | v1-071 | [
{
"admitted": "2026-07-01",
"patient": "Lena Ortiz",
"ward_name": "Maternity"
},
{
"admitted": "2026-06-28",
"patient": "Femi Adeyemi",
"ward_name": "Oncology"
},
{
"admitted": "2026-07-03",
"patient": "Rosa Lindqvist",
"ward_name": "Maternity"
},
{
"admitted": "2... | 1.7.1 | CC-BY-4.0 | [
"patient",
"ward_name",
"admitted"
] | true | hand | group_by(.ward_name) | map(select(length > 2) | .[0].ward_name) | Which wards have more than two admissions on this list? Just the ward names. | original | [
"group_by",
"filter",
"pluck"
] | 3 | null |
false | 78113804b2ff | 3 | lab | [
{
"buffered_lysis": 5.9,
"colorimetric": 6.8,
"titration_arc": 7.6
}
] | 1.0.0 | true | v1-072 | [
{
"assay": "buffered_lysis",
"dilution": 0.1,
"ph_reading": 6.4,
"specimen": "KX-114"
},
{
"assay": "colorimetric",
"dilution": 0.01,
"ph_reading": 7.2,
"specimen": "KX-118"
},
{
"assay": "buffered_lysis",
"dilution": 0.1,
"ph_reading": 5.9,
"specimen": "KX-12... | 1.7.1 | CC-BY-4.0 | [
"specimen",
"assay",
"ph_reading",
"dilution"
] | false | hand | group_by(.assay) | map({key: .[0].assay, value: (map(.ph_reading) | min)}) | from_entries | return an object mapping each assay to the lowest ph_reading recorded for it | original | [
"group_by",
"min",
"from_entries"
] | 3 | null |
false | 1dc651c034cf | 3 | clinical | [
[
{
"mean_dosage_mg": 500,
"medication": "Amoxicillin"
},
{
"mean_dosage_mg": 15,
"medication": "Lisinopril"
}
]
] | 1.0.0 | true | v1-073 | [
{
"dosage_mg": 500,
"medication": "Amoxicillin",
"patient": "Iris Delgado",
"ward_name": "Oncology"
},
{
"dosage_mg": 250,
"medication": "Amoxicillin",
"patient": "Tomas Keller",
"ward_name": "Renal"
},
{
"dosage_mg": 750,
"medication": "Amoxicillin",
"patient": "... | 1.7.1 | CC-BY-4.0 | [
"patient",
"medication",
"dosage_mg",
"ward_name"
] | true | hand | group_by(.medication) | map({medication: .[0].medication, mean_dosage_mg: (map(.dosage_mg) | add / length)}) | What is the mean dosage in mg for each medication? Give one record per medication with the medication and its mean_dosage_mg. | original | [
"group_by",
"avg"
] | 3 | null |
false | 7b7be6eee492 | 3 | gaming | [
[
"QuillDart",
"EmberSix",
"Nyxfall",
"Vantablade"
]
] | 1.0.0 | true | v1-074 | [
{
"gamertag": "Vantablade",
"matches_won": 19,
"respawns": 204
},
{
"gamertag": "Nyxfall",
"matches_won": 31,
"respawns": 118
},
{
"gamertag": "EmberSix",
"matches_won": 31,
"respawns": 167
},
{
"gamertag": "QuillDart",
"matches_won": 45,
"respawns": 89
... | 1.7.1 | CC-BY-4.0 | [
"gamertag",
"matches_won",
"respawns"
] | false | hand | sort_by(-.matches_won, .gamertag) | map(.gamertag) | sort the players by matches_won descending, breaking ties by gamertag alphabetically, and give just the gamertags | original | [
"sort_by",
"pluck"
] | 3 | null |
false | fba7301dd989 | 1 | gradebook | [
[
"coursework_pct",
"midterm_pct",
"participation_pct"
]
] | 1.0.0 | true | v1-075 | {
"absences": 2,
"grading": {
"coursework_pct": 74,
"midterm_pct": 81,
"participation_pct": 90
},
"pupil": "Sana Qureshi",
"tutor_group": "11A"
} | 1.7.1 | CC-BY-4.0 | [
"pupil",
"grading",
"midterm_pct",
"coursework_pct",
"participation_pct",
"tutor_group",
"absences"
] | true | hand | .grading | keys | names of the grading components | original | [
"keys"
] | 1 | null |
false | 069bdb5fbc09 | 2 | music | [
[
"Coda Coda",
"Vesper Line",
"Pale Circuit",
"Overture in Rust"
]
] | 1.0.0 | true | v1-076 | [
{
"beats_per_min": 70,
"track_title": "Overture in Rust"
},
{
"beats_per_min": 122,
"track_title": "Pale Circuit"
},
{
"beats_per_min": 98,
"track_title": "Vesper Line"
},
{
"beats_per_min": 80,
"track_title": "Coda Coda"
}
] | 1.7.1 | CC-BY-4.0 | [
"track_title",
"beats_per_min"
] | false | hand | map(.track_title) | reverse | track titles in reverse tracklist order | original | [
"pluck",
"reverse"
] | 2 | null |
false | 6264f336690f | 3 | transit | [
[
{
"garage": "Elmbridge",
"ridership": 8900
},
{
"garage": "Foxhall",
"ridership": 8100
},
{
"garage": "Kestrel Park",
"ridership": 5150
}
]
] | 1.0.0 | true | v1-077 | [
{
"garage": "Foxhall",
"on_time_pct": 91,
"ridership": 4200,
"route_no": "12X"
},
{
"garage": "Elmbridge",
"on_time_pct": 86,
"ridership": 6100,
"route_no": "7"
},
{
"garage": "Foxhall",
"on_time_pct": 94,
"ridership": 3900,
"route_no": "22"
},
{
"gara... | 1.7.1 | CC-BY-4.0 | [
"route_no",
"garage",
"ridership",
"on_time_pct"
] | true | hand | group_by(.garage) | map({garage: .[0].garage, ridership: (map(.ridership) | add)}) | What is the combined ridership for each garage? One record per garage with the garage and its ridership. | original | [
"group_by",
"sum"
] | 3 | null |
false | a757cb85b4a3 | 4 | lab | [
[
"BX-0198",
"BX-0417",
"BX-0522",
"BX-0611"
]
] | 1.0.0 | true | v1-078 | {
"assay_runs": [
{
"dilution": 5,
"ph_reading": 6.8,
"specimen": "BX-0417"
},
{
"dilution": 10,
"ph_reading": 7.4,
"specimen": "BX-0522"
},
{
"dilution": 2,
"ph_reading": 5.9,
"specimen": "BX-0198"
},
{
"dilution": 20,
"ph_... | 1.7.1 | CC-BY-4.0 | [
"bench_no",
"technician",
"assay_runs",
"specimen",
"ph_reading",
"dilution"
] | false | hand | .assay_runs | sort_by(.ph_reading) | map(.specimen) | inside the assay_runs list, could you sort the runs by ph reading from most acidic (lowest) on up, and hand me just the specimen codes in that order? | original | [
"index",
"sort",
"pluck"
] | 4 | null |
false | 6ded1c94c937 | 4 | clinical | [
[
"Callum Doyle",
"Marek Sowa",
"Nora Whitfield"
]
] | 1.0.0 | true | v1-079 | [
{
"admitted": true,
"care_unit": "recovery",
"patient_full": "Nora Whitfield",
"pulse_bpm": 95
},
{
"admitted": false,
"care_unit": "cardiology",
"patient_full": "Desmond Okafor",
"pulse_bpm": 88
},
{
"admitted": true,
"care_unit": "maternity",
"patient_full": "Pr... | 1.7.1 | CC-BY-4.0 | [
"patient_full",
"pulse_bpm",
"care_unit",
"admitted"
] | false | hand | sort_by(-.pulse_bpm) | .[0:3] | map(.patient_full) | the names of the three patients with the highest pulse_bpm, highest first | original | [
"sort",
"slice",
"pluck"
] | 4 | null |
false | e0270273b02d | 2 | civic | [
[
"Hillcrest 4",
"Fernway 7"
]
] | 1.0.0 | true | v1-080 | [
{
"ballots_cast": 1892,
"precinct": "Hillcrest 4",
"turnout_pct": 63.4
},
{
"ballots_cast": 1204,
"precinct": "Millbrook 2",
"turnout_pct": 48.9
},
{
"ballots_cast": 2310,
"precinct": "Fernway 7",
"turnout_pct": 71.2
},
{
"ballots_cast": 1677,
"precinct": "Old... | 1.7.1 | CC-BY-4.0 | [
"precinct",
"turnout_pct",
"ballots_cast"
] | true | hand | map(select(.turnout_pct > 60) | .precinct) | which precincts had turnout above 60 percent? just the precinct names | original | [
"filter",
"pluck"
] | 2 | null |
false | 958d15dcaa01 | 5 | sports | [
{
"prize_pool": 50000,
"semifinal_one": {
"aggregate": "2 TO 1",
"top_seed": "HARRIERS",
"underdog": "CORSAIRS"
},
"semifinal_two": {
"aggregate": "3 TO 3",
"top_seed": "WANDERERS",
"underdog": "MARINERS"
},
"tourney": "HARBOUR CUP",
"venue_town": "POR... | 1.0.0 | false | v1-081 | {
"prize_pool": 50000,
"semifinal_one": {
"aggregate": "2 to 1",
"top_seed": "Harriers",
"underdog": "Corsairs"
},
"semifinal_two": {
"aggregate": "3 to 3",
"top_seed": "Wanderers",
"underdog": "Mariners"
},
"tourney": "Harbour Cup",
"venue_town": "Port Ellery"
} | 1.7.1 | CC-BY-4.0 | [
"tourney",
"semifinal_one",
"semifinal_two",
"top_seed",
"underdog",
"aggregate",
"venue_town",
"prize_pool"
] | false | hand | walk(if type == "string" then ascii_upcase else . end) | can you shout-case this whole nested bracket for the big screen — every string value anywhere goes fully uppercase, while the field names and numbers stay exactly as they are? | original | [
"walk",
"string_case"
] | 5 | null |
false | 3d8cbf893a52 | 3 | recipes | [
[
"cinnamon",
"clove",
"cumin",
"ginger_ground",
"sichuan_peppercorn",
"turmeric"
]
] | 1.0.0 | true | v1-082 | [
{
"dish": "mole_negro",
"prep_min": 90,
"spices": [
"cumin",
"clove",
"cinnamon"
]
},
{
"dish": "lamb_tagine",
"prep_min": 45,
"spices": [
"cinnamon",
"turmeric",
"ginger_ground"
]
},
{
"dish": "dan_dan_noodles",
"prep_min": 30,
... | 1.7.1 | CC-BY-4.0 | [
"dish",
"spices",
"prep_min"
] | false | hand | map(.spices) | flatten | unique | could you gather up every spice across all these recipes into one combined list, drop the duplicates, and give it to me alphabetized? | original | [
"flatten",
"unique"
] | 3 | null |
false | f2b2dfdc6563 | 4 | civic | [
"045-411-033"
] | 1.0.0 | true | v1-083 | [
{
"appraisal": 412000,
"parcel_no": "042-117-008",
"permits_issued": 2,
"zoning": "mixed-use"
},
{
"appraisal": 688000,
"parcel_no": "043-002-114",
"permits_issued": 5,
"zoning": "mixed-use"
},
{
"appraisal": 132000,
"parcel_no": "044-210-077",
"permits_issued": 0... | 1.7.1 | CC-BY-4.0 | [
"parcel_no",
"zoning",
"appraisal",
"permits_issued"
] | false | hand | map(select(.zoning == "mixed-use")) | min_by(.appraisal) | .parcel_no | among just the parcels zoned 'mixed-use', which one carries the lowest appraisal? I only want its parcel number | original | [
"filter",
"min",
"pluck"
] | 4 | null |
false | de0e8a1e5331 | 3 | gaming | [
[
{
"fireteam": "Duskwatch",
"won_total": 45
},
{
"fireteam": "Ironveil",
"won_total": 74
}
]
] | 1.0.0 | true | v1-084 | [
{
"fireteam": "Ironveil",
"gamertag": "NovaStrix",
"matches_won": 41,
"ping_ms": 23
},
{
"fireteam": "Duskwatch",
"gamertag": "HexDrifter",
"matches_won": 28,
"ping_ms": 51
},
{
"fireteam": "Ironveil",
"gamertag": "QuillFang",
"matches_won": 33,
"ping_ms": 19
... | 1.7.1 | CC-BY-4.0 | [
"gamertag",
"fireteam",
"matches_won",
"ping_ms"
] | true | hand | group_by(.fireteam) | map({fireteam: .[0].fireteam, won_total: (map(.matches_won) | add)}) | total matches won per fireteam; emit fireteam and won_total | original | [
"group_by",
"sum"
] | 3 | null |
false | dc5bdd38ecc2 | 3 | transit | [
false
] | 1.0.0 | true | v1-085 | [
{
"garage": "Foxhall",
"on_time_pct": 91,
"route_no": "12X"
},
{
"garage": "Elmbridge",
"on_time_pct": 86,
"route_no": "7"
},
{
"garage": "Foxhall",
"on_time_pct": 94,
"route_no": "22"
},
{
"garage": "Elmbridge",
"on_time_pct": 79,
"route_no": "31A"
},
... | 1.7.1 | CC-BY-4.0 | [
"route_no",
"on_time_pct",
"garage"
] | false | hand | all(.on_time_pct >= 85) | Did every route manage an on-time percentage of at least 85? | original | [
"all",
"predicate"
] | 3 | null |
false | d90db9db1639 | 3 | civic | [
{
"noise_curfew": 3,
"short_lets": 2,
"sign_setback": 1
}
] | 1.0.0 | true | v1-086 | {
"clerk_initials": "DT",
"fiscal_yr": 2026,
"hearings_by_bylaw": {
"noise_curfew": [
"2026-01-12",
"2026-02-03",
"2026-04-19"
],
"short_lets": [
"2026-01-28",
"2026-05-15"
],
"sign_setback": [
"2026-03-07"
]
}
} | 1.7.1 | CC-BY-4.0 | [
"hearings_by_bylaw",
"noise_curfew",
"sign_setback",
"short_lets",
"fiscal_yr",
"clerk_initials"
] | false | hand | .hearings_by_bylaw | map_values(length) | turn hearings_by_bylaw into an object mapping each bylaw to how many hearing dates it lists | original | [
"map_values",
"count"
] | 3 | null |
false | ef3095a5c5e8 | 2 | realestate | [
[
"bungalow",
"cottage",
"terrace"
]
] | 1.0.0 | true | v1-087 | [
{
"asking": 512000,
"dwelling": "terrace",
"parcel_ref": "VN-3321"
},
{
"asking": 334000,
"dwelling": "bungalow",
"parcel_ref": "VN-1054"
},
{
"asking": 489000,
"dwelling": "terrace",
"parcel_ref": "VN-7789"
},
{
"asking": 295000,
"dwelling": "cottage",
"p... | 1.7.1 | CC-BY-4.0 | [
"parcel_ref",
"dwelling",
"asking"
] | true | hand | [.[].dwelling] | unique | the distinct dwelling types on the market | original | [
"pluck",
"unique"
] | 2 | null |
false | cfb1f879f495 | 5 | lab | [
[
6.2,
7.1,
7.1,
7.6
]
] | 1.0.0 | false | v1-088 | [
{
"assay_kind": "buffer_check",
"flask_no": "F-41",
"ph_value": 6.2
},
{
"assay_kind": "buffer_check",
"flask_no": "F-42",
"ph_value": 7.1
},
{
"assay_kind": "titration_run",
"flask_no": "F-43",
"ph_value": 6.8
},
{
"assay_kind": "buffer_check",
"flask_no": "F... | 1.7.1 | CC-BY-4.0 | [
"flask_no",
"ph_value",
"assay_kind"
] | false | hand | [foreach .[].ph_value as $v (0; if $v > . then $v else . end)] | walking through the flasks in listed order, what was the highest ph seen so far at each step? | original | [
"foreach",
"running_max"
] | 5 | null |
false | f32b743913d3 | 1 | transit | [
11
] | 1.0.0 | true | v1-089 | {
"garage": "Weirfield",
"powered_axles": 3,
"route_no": "CROSSTOWN-9"
} | 1.7.1 | CC-BY-4.0 | [
"route_no",
"garage",
"powered_axles"
] | false | hand | .route_no | length | character count of the route number | original | [
"length"
] | 1 | null |
false | e75b99bce5e7 | 1 | music | [
[
"Copper Veins",
"Night Ferry"
]
] | 1.0.0 | true | v1-090 | {
"album_moniker": "Harbor Lights",
"engineer_credit": "M. Okafor",
"side_a_songs": [
"Copper Veins",
"Night Ferry",
"Salt Orchard",
"Glass Harbor"
]
} | 1.7.1 | CC-BY-4.0 | [
"album_moniker",
"side_a_songs",
"engineer_credit"
] | false | hand | .side_a_songs[0:2] | what are the first two songs on side A? | original | [
"slice",
"field_access"
] | 1 | null |
false | b2f11bed967e | 3 | civic | [
{
"harborview": 1904,
"millrace": 2776,
"oakflat": 953
}
] | 1.0.0 | true | v1-091 | {
"canvass_done": false,
"precinct_tallies": {
"harborview": 1892,
"millrace": 2764,
"oakflat": 941
}
} | 1.7.1 | CC-BY-4.0 | [
"precinct_tallies",
"canvass_done",
"harborview",
"millrace",
"oakflat"
] | false | hand | .precinct_tallies | with_entries(.value += 12) | precinct_tallies with 12 provisional ballots added to each | original | [
"with_entries",
"arith"
] | 3 | null |
false | f16aed49b3ca | 3 | weather | [
[
0,
3,
6,
9,
12,
15,
18,
21
]
] | 1.0.0 | true | v1-092 | {
"bulletin_id": "FXUS63",
"first_hour": 0,
"issuing_office": "KWNS",
"last_hour": 24,
"step_h": 3
} | 1.7.1 | CC-BY-4.0 | [
"first_hour",
"last_hour",
"step_h",
"bulletin_id",
"issuing_office"
] | false | hand | [range(.first_hour; .last_hour; .step_h)] | using first_hour, last_hour and step_h from this bulletin, can you generate the list of forecast hour marks — start at first_hour, step by step_h, and stop before you hit last_hour? | original | [
"range"
] | 3 | null |
false | 8f6976f775a7 | 5 | music | [
[
340,
1210,
1210,
1475
]
] | 1.0.0 | false | v1-093 | [
{
"hall": "Pelican Rooms",
"tour_stop": "Leith",
"turnout": 340
},
{
"hall": "Corn Exchange",
"tour_stop": "Hexham",
"turnout": 1210
},
{
"hall": "Velvet Union",
"tour_stop": "Deptford",
"turnout": 890
},
{
"hall": "Old Granary",
"tour_stop": "Frome",
"tur... | 1.7.1 | CC-BY-4.0 | [
"hall",
"turnout",
"tour_stop"
] | false | hand | [foreach .[] as $g (0; [., $g.turnout] | max)] | after each gig, report the largest turnout seen so far, one number per gig in order | original | [
"foreach",
"running_max"
] | 5 | null |
false | 0a39a9d57983 | 5 | transit | [
9980
] | 1.0.0 | false | v1-094 | [
{
"garage": "Milldale",
"headway_min": 12,
"ridership": 4230,
"route_no": "N12"
},
{
"garage": "Ashcombe",
"headway_min": 20,
"ridership": 1875,
"route_no": "E3"
},
{
"garage": "Milldale",
"headway_min": 8,
"ridership": 3610,
"route_no": "N7"
},
{
"gar... | 1.7.1 | CC-BY-4.0 | [
"route_no",
"ridership",
"garage",
"headway_min"
] | false | hand | reduce (.[] | select(.garage == "Milldale")) as $r (0; . + $r.ridership) | right, add up the total ridership across every route that runs out of the Milldale garage — routes from other garages don't count. one number. | original | [
"reduce",
"filter",
"sum"
] | 5 | null |
false | f81a2c3adc7b | 4 | clinical | [
[
"Priya Raman",
"Nora Whitfield",
"Ines Aldana"
]
] | 1.0.0 | true | v1-095 | [
{
"bp_systolic": 141,
"care_unit": "recovery",
"patient_full": "Nora Whitfield",
"pulse_bpm": 88
},
{
"bp_systolic": 156,
"care_unit": "cardiology",
"patient_full": "Desmond Okafor",
"pulse_bpm": 72
},
{
"bp_systolic": 152,
"care_unit": "recovery",
"patient_full":... | 1.7.1 | CC-BY-4.0 | [
"patient_full",
"care_unit",
"bp_systolic",
"pulse_bpm"
] | false | hand | map(select(.care_unit == "recovery")) | sort_by(-.bp_systolic) | map(.patient_full) | among patients in the recovery care_unit, order them by bp_systolic from highest to lowest and return just their names | original | [
"filter",
"sort",
"pluck"
] | 4 | null |
false | f0b61f64ca8a | 1 | recipes | [
95
] | 1.0.0 | true | v1-096 | {
"dish_moniker": "Smoked Paprika Cassoulet",
"oven_c": 160,
"timings": {
"prep_min": 30,
"simmer_min": 95
}
} | 1.7.1 | CC-BY-4.0 | [
"dish_moniker",
"timings",
"prep_min",
"simmer_min",
"oven_c"
] | false | hand | .timings.simmer_min | how many minutes does the simmer take? | original | [
"field_access",
"nested"
] | 1 | null |
false | 900c3472bedb | 3 | clinical | [
{
"cardiology": 200,
"maternity": 500,
"recovery": 300
}
] | 1.0.0 | true | v1-097 | [
{
"care_unit": "recovery",
"dosage_mg": 200,
"medication": "amoxicillin",
"patient_full": "Nora Whitfield"
},
{
"care_unit": "cardiology",
"dosage_mg": 100,
"medication": "atorvastatin",
"patient_full": "Desmond Okafor"
},
{
"care_unit": "recovery",
"dosage_mg": 400,
... | 1.7.1 | CC-BY-4.0 | [
"care_unit",
"dosage_mg",
"medication",
"patient_full"
] | false | hand | group_by(.care_unit) | map({key: .[0].care_unit, value: (map(.dosage_mg) | add / length)}) | from_entries | return an object mapping each care_unit to its average dosage_mg | original | [
"group_by",
"avg",
"object"
] | 3 | null |
false | 6d3baad4d70c | 4 | gradebook | [
"MAPLE-2B, BIRCH-1A, CEDAR-3C, ALDER-4D"
] | 1.0.0 | true | v1-098 | [
{
"classroom": "maple-2b",
"pupil": "Saoirse Byrne",
"tardies": 1
},
{
"classroom": "birch-1a",
"pupil": "Kenji Morita",
"tardies": 0
},
{
"classroom": "cedar-3c",
"pupil": "Amara Diallo",
"tardies": 4
},
{
"classroom": "alder-4d",
"pupil": "Luka Petrov",
... | 1.7.1 | CC-BY-4.0 | [
"classroom",
"pupil",
"tardies"
] | false | hand | map(.classroom | ascii_upcase) | join(", ") | combine the classroom codes, uppercased, into a single string separated by ', ' | original | [
"ascii_upcase",
"join"
] | 4 | null |
false | 002ac17d0a1d | 4 | realestate | [
[
{
"on_market": 3,
"suburb": "Fernhollow"
},
{
"on_market": 1,
"suburb": "Lakemount"
},
{
"on_market": 1,
"suburb": "Wattle Rise"
}
]
] | 1.0.0 | true | v1-099 | [
{
"mls_no": "MX-7741",
"suburb": "Fernhollow",
"tenure": "freehold"
},
{
"mls_no": "MX-2103",
"suburb": "Fernhollow",
"tenure": "leasehold"
},
{
"mls_no": "MX-9358",
"suburb": "Lakemount",
"tenure": "freehold"
},
{
"mls_no": "MX-4410",
"suburb": "Wattle Rise",... | 1.7.1 | CC-BY-4.0 | [
"mls_no",
"suburb",
"tenure"
] | true | hand | group_by(.suburb) | map({suburb: .[0].suburb, on_market: length}) | listing count per suburb (suburb, on_market) | original | [
"group_by",
"count"
] | 4 | null |
false | 3b9ee85e3a86 | 3 | sports | [
[
{
"best_haul": 3,
"squad_name": "Ironhoof"
},
{
"best_haul": 4,
"squad_name": "Thundercaps"
}
]
] | 1.0.0 | true | v1-100 | [
{
"goals_for": 3,
"matchday": 1,
"squad_name": "Ironhoof"
},
{
"goals_for": 1,
"matchday": 1,
"squad_name": "Thundercaps"
},
{
"goals_for": 0,
"matchday": 2,
"squad_name": "Ironhoof"
},
{
"goals_for": 4,
"matchday": 2,
"squad_name": "Thundercaps"
},
{
... | 1.7.1 | CC-BY-4.0 | [
"squad_name",
"goals_for",
"matchday"
] | true | hand | group_by(.squad_name) | map({squad_name: .[0].squad_name, best_haul: (map(.goals_for) | max)}) | best goals_for haul per squad as {squad_name, best_haul} | original | [
"group_by",
"max"
] | 3 | null |
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