submissionId stringlengths 25 25 | title stringlengths 17 64 | payload dict |
|---|---|---|
cmsl775n1000aw6p2flflj4ez | Submission FLJ4EZ | {
"sample_query": "query { author(id: \"a-7\") { name posts { title words } } }",
"resolver_code": "Query: { author: (_p, { id }) => id === 'a-7' ? { name: 'Ida Lane', postRows: [['Maps', 900], ['Trails', 1200]] } : null }, Author: { posts: (parent) => parent.postRows.map(([title, words]) => ({ title, words })) }",... |
cmsl775n1000bw6p26wkjcdqh | Submission KJCDQH | {
"sample_query": "query { repeat(word: \"go\") }",
"resolver_code": "Query: { repeat: (_p, { word, times }) => Array(times).fill(word).join('-') }",
"expected_response": "{\"data\":{\"repeat\":\"go-go-go\"}}",
"schema_definition": "type Query { repeat(word: String!, times: Int = 3): String! }"
} |
cmsl775n1000cw6p28t4rpk59 | Submission 4RPK59 | {
"sample_query": "query { tickets(min: MED) { key priority } }",
"resolver_code": "Query: { tickets: (_p, { min }) => { const rank = { LOW: 0, MED: 1, HIGH: 2 }; const rows = [{ key: 'T-1', priority: 'LOW' }, { key: 'T-2', priority: 'HIGH' }, { key: 'T-3', priority: 'MED' }]; return rows.filter(r => rank[r.priorit... |
cmsl775n1000dw6p2bqj31h4n | Submission J31H4N | {
"sample_query": "query { rect(w: 16, h: 9) { w h area landscape } }",
"resolver_code": "Query: { rect: (_p, { w, h }) => ({ w, h }) }, Rect: { area: (parent) => parent.w * parent.h, landscape: (parent) => parent.w > parent.h }",
"expected_response": "{\"data\":{\"rect\":{\"w\":16,\"h\":9,\"area\":144,\"landscap... |
cmsl775n1000ew6p27k7dvpro | Submission 7DVPRO | {
"sample_query": "query { stats(xs: [1.5, 2.5, 5.0]) { count mean spread } }",
"resolver_code": "Query: { stats: (_p, { xs }) => { const mean = xs.reduce((a, b) => a + b, 0) / xs.length; return { count: xs.length, mean, spread: Math.max(...xs) - Math.min(...xs) }; } }",
"expected_response": "{\"data\":{\"stats\"... |
cmsmurl1f0077dmp23hmt8g25 | Submission MT8G25 | {
"sample_query": "query { add(a: 7, b: 5) }",
"resolver_code": "Query: { add: (_p, { a, b }) => a + b }",
"expected_response": "{\"data\":{\"add\":12}}",
"schema_definition": "type Query { add(a: Int!, b: Int!): Int! }"
} |
cmsmurl1f0078dmp2be6r7ph7 | Submission 6R7PH7 | {
"sample_query": "query { shout(text: \"hello\") }",
"resolver_code": "Query: { shout: (_p, { text }) => text.toUpperCase() }",
"expected_response": "{\"data\":{\"shout\":\"HELLO\"}}",
"schema_definition": "type Query { shout(text: String!): String! }"
} |
cmsmurl1f0079dmp2lhoef0sb | Submission OEF0SB | {
"sample_query": "query { evens(limit: 4) }",
"resolver_code": "Query: { evens: (_p, { limit }) => Array.from({length: limit}, (_, i) => i * 2) }",
"expected_response": "{\"data\":{\"evens\":[0,2,4,6]}}",
"schema_definition": "type Query { evens(limit: Int!): [Int!]! }"
} |
cmsmurl1f007admp2r0c0ft56 | Submission C0FT56 | {
"sample_query": "query { user(id: \"1\") { id name } }",
"resolver_code": "Query: { user: (_p, { id }) => id === '1' ? { id: '1', name: 'Ada' } : null }",
"expected_response": "{\"data\":{\"user\":{\"id\":\"1\",\"name\":\"Ada\"}}}",
"schema_definition": "type User { id: ID!, name: String! } type Query { user(... |
cmsmurl1f007bdmp2dd0tl7lr | Submission 0TL7LR | {
"sample_query": "query { isEven(n: 10) }",
"resolver_code": "Query: { isEven: (_p, { n }) => n % 2 === 0 }",
"expected_response": "{\"data\":{\"isEven\":true}}",
"schema_definition": "type Query { isEven(n: Int!): Boolean! }"
} |
cmsmurl1f007cdmp2p9jiz3x0 | Submission JIZ3X0 | {
"sample_query": "query { next(c: RED) }",
"resolver_code": "Query: { next: (_p, { c }) => ({ RED: 'GREEN', GREEN: 'BLUE', BLUE: 'RED' })[c] }",
"expected_response": "{\"data\":{\"next\":\"GREEN\"}}",
"schema_definition": "enum Color { RED GREEN BLUE } type Query { next(c: Color!): Color! }"
} |
cmsmurl1f007ddmp2hvcpz5l6 | Submission CPZ5L6 | {
"sample_query": "query { repeat(s: \"ab\", n: 3) }",
"resolver_code": "Query: { repeat: (_p, { s, n }) => s.repeat(n) }",
"expected_response": "{\"data\":{\"repeat\":\"ababab\"}}",
"schema_definition": "type Query { repeat(s: String!, n: Int!): String! }"
} |
cmsmurl1f007edmp2a9ldojs4 | Submission LDOJS4 | {
"sample_query": "query { stats(values: [3, 7, 1, 9]) { min max sum } }",
"resolver_code": "Query: { stats: (_p, { values }) => ({ min: Math.min(...values), max: Math.max(...values), sum: values.reduce((a,b)=>a+b,0) }) }",
"expected_response": "{\"data\":{\"stats\":{\"min\":1,\"max\":9,\"sum\":20}}}",
"schema_... |
cmsmurl1f007fdmp21s0d3bct | Submission 0D3BCT | {
"sample_query": "query { greeting }",
"resolver_code": "Query: { greeting: (_p, { name }) => `Hi ${name || 'there'}` }",
"expected_response": "{\"data\":{\"greeting\":\"Hi there\"}}",
"schema_definition": "type Query { greeting(name: String): String! }"
} |
cmsmurl1g007gdmp2fsue74ae | Submission UE74AE | {
"sample_query": "query { cart { sku qty } }",
"resolver_code": "Query: { cart: () => [{ sku: 'A1', qty: 2 }, { sku: 'B2', qty: 1 }] }",
"expected_response": "{\"data\":{\"cart\":[{\"sku\":\"A1\",\"qty\":2},{\"sku\":\"B2\",\"qty\":1}]}}",
"schema_definition": "type Item { sku: String!, qty: Int! } type Query {... |
cmsmurl1g007hdmp2yl6on54l | Submission 6ON54L | {
"sample_query": "query { toFixed(x: 3.14159, digits: 2) }",
"resolver_code": "Query: { toFixed: (_p, { x, digits }) => x.toFixed(digits) }",
"expected_response": "{\"data\":{\"toFixed\":\"3.14\"}}",
"schema_definition": "type Query { toFixed(x: Float!, digits: Int!): String! }"
} |
cmsmurl1g007idmp2n81yo20l | Submission 1YO20L | {
"sample_query": "query { reverse(items: [\"a\", \"b\", \"c\"]) }",
"resolver_code": "Query: { reverse: (_p, { items }) => [...items].reverse() }",
"expected_response": "{\"data\":{\"reverse\":[\"c\",\"b\",\"a\"]}}",
"schema_definition": "type Query { reverse(items: [String!]!): [String!]! }"
} |
cmsmurl1g007jdmp2okm1t1g9 | Submission M1T1G9 | {
"sample_query": "query { translate(x: 1, y: 2, dx: 5, dy: -3) { x y } }",
"resolver_code": "Query: { translate: (_p, { x, y, dx, dy }) => ({ x: x + dx, y: y + dy }) }",
"expected_response": "{\"data\":{\"translate\":{\"x\":6,\"y\":-1}}}",
"schema_definition": "type Point { x: Int!, y: Int! } type Query { tran... |
cmsmurl1g007kdmp2p387zrdc | Submission 87ZRDC | {
"sample_query": "query { clamp(v: 15, lo: 0, hi: 10) }",
"resolver_code": "Query: { clamp: (_p, { v, lo, hi }) => Math.max(lo, Math.min(v, hi)) }",
"expected_response": "{\"data\":{\"clamp\":10}}",
"schema_definition": "type Query { clamp(v: Int!, lo: Int!, hi: Int!): Int! }"
} |
cmsmurl1g007ldmp2dzmia2qd | Submission MIA2QD | {
"sample_query": "query { profile(handle: \"maheshk218\") { handle followers } }",
"resolver_code": "Query: { profile: (_p, { handle }) => ({ handle, followers: handle.length * 10 }) }",
"expected_response": "{\"data\":{\"profile\":{\"handle\":\"maheshk218\",\"followers\":100}}}",
"schema_definition": "type Pr... |
cmsmurl1g007mdmp2wwkfhm5g | Submission KFHM5G | {
"sample_query": "query { median(values: [5, 1, 3, 2]) }",
"resolver_code": "Query: { median: (_p, { values }) => { const s = [...values].sort((a,b)=>a-b); const m = Math.floor(s.length/2); return s.length % 2 ? s[m] : (s[m-1]+s[m])/2; } }",
"expected_response": "{\"data\":{\"median\":2.5}}",
"schema_definitio... |
cmsmurl1g007ndmp2f43m6pnn | Submission 3M6PNN | {
"sample_query": "query { countWords(text: \"the quick brown fox\") }",
"resolver_code": "Query: { countWords: (_p, { text }) => text.trim().split(/\\s+/).filter(Boolean).length }",
"expected_response": "{\"data\":{\"countWords\":4}}",
"schema_definition": "type Query { countWords(text: String!): Int! }"
} |
cmsmurl1g007odmp20vhyioce | Submission HYIOCE | {
"sample_query": "query { order(id: \"3\") { id total } }",
"resolver_code": "Query: { order: (_p, { id }) => ({ id, total: Number(id) * 100 }) }",
"expected_response": "{\"data\":{\"order\":{\"id\":\"3\",\"total\":300}}}",
"schema_definition": "type Order { id: ID!, total: Int! } type Query { order(id: ID!): ... |
cmsnc5up2008m6zp250dyz798 | Submission DYZ798 | {
"sample_query": "{ greeting(name: \"Ada\") }",
"resolver_code": "Query: { greeting: (_, {name}) => `Hello, ${name}!` }",
"expected_response": "{\"data\":{\"greeting\":\"Hello, Ada!\"}}",
"schema_definition": "type Query { greeting(name: String!): String! }"
} |
cmsnc5up2008n6zp27wu8di1k | Submission U8DI1K | {
"sample_query": "{ add(a: 17, b: 25) }",
"resolver_code": "Query: { add: (_, {a,b}) => a + b }",
"expected_response": "{\"data\":{\"add\":42}}",
"schema_definition": "type Query { add(a: Int!, b: Int!): Int! }"
} |
cmsnc5up2008o6zp2zvbl9wfo | Submission BL9WFO | {
"sample_query": "{ isEven(value: 14) }",
"resolver_code": "Query: { isEven: (_, {value}) => value % 2 === 0 }",
"expected_response": "{\"data\":{\"isEven\":true}}",
"schema_definition": "type Query { isEven(value: Int!): Boolean! }"
} |
cmsnc5up2008p6zp20to5xfbu | Submission O5XFBU | {
"sample_query": "{ clamp(value: 17, min: 0, max: 10) }",
"resolver_code": "Query: { clamp: (_, {value,min,max}) => Math.min(max, Math.max(min, value)) }",
"expected_response": "{\"data\":{\"clamp\":10}}",
"schema_definition": "type Query { clamp(value: Int!, min: Int!, max: Int!): Int! }"
} |
cmsnc5up2008q6zp2b7ncyhps | Submission NCYHPS | {
"sample_query": "{ repeat(text: \"ab\", times: 3) }",
"resolver_code": "Query: { repeat: (_, {text,times}) => text.repeat(times) }",
"expected_response": "{\"data\":{\"repeat\":\"ababab\"}}",
"schema_definition": "type Query { repeat(text: String!, times: Int!): String! }"
} |
cmsnc5up2008r6zp2hmyhalk8 | Submission YHALK8 | {
"sample_query": "{ numbers(limit: 4) }",
"resolver_code": "Query: { numbers: (_, {limit}) => Array.from({length: limit}, (_,i) => i + 1) }",
"expected_response": "{\"data\":{\"numbers\":[1,2,3,4]}}",
"schema_definition": "type Query { numbers(limit: Int!): [Int!]! }"
} |
cmsnc5up2008s6zp23ipysys6 | Submission PYSYS6 | {
"sample_query": "{ person { name age } }",
"resolver_code": "Query: { person: () => ({name: 'Mira', age: 29}) }",
"expected_response": "{\"data\":{\"person\":{\"name\":\"Mira\",\"age\":29}}}",
"schema_definition": "type Person { name: String!, age: Int! } type Query { person: Person! }"
} |
cmsnc5up2008t6zp2wogb1xg7 | Submission GB1XG7 | {
"sample_query": "{ metrics { key value } }",
"resolver_code": "Query: { metrics: () => [{key:'cpu',value:0.75},{key:'memory',value:0.5}] }",
"expected_response": "{\"data\":{\"metrics\":[{\"key\":\"cpu\",\"value\":0.75},{\"key\":\"memory\",\"value\":0.5}]}}",
"schema_definition": "type Metric { key: String!, ... |
cmsnc5up2008u6zp2dvhka7nx | Submission HKA7NX | {
"sample_query": "{ uppercase(text: \"Graphql\") }",
"resolver_code": "Query: { uppercase: (_, {text}) => text.toUpperCase() }",
"expected_response": "{\"data\":{\"uppercase\":\"GRAPHQL\"}}",
"schema_definition": "type Query { uppercase(text: String!): String! }"
} |
cmsnc5up2008v6zp28xz93l38 | Submission Z93L38 | {
"sample_query": "{ divideExact(a: 7, b: 2) }",
"resolver_code": "Query: { divideExact: (_, {a,b}) => { if (b === 0) throw new Error('zero denominator'); return a / b; } }",
"expected_response": "{\"data\":{\"divideExact\":3.5}}",
"schema_definition": "type Query { divideExact(a: Int!, b: Int!): Float! }"
} |
cmsnc5up2008w6zp22hjyb5aa | Submission JYB5AA | {
"sample_query": "{ safeDivide(a: 9, b: 0) }",
"resolver_code": "Query: { safeDivide: (_, {a,b}) => { if (b === 0) throw new Error('cannot divide by zero'); return a / b; } }",
"expected_response": "{\"errors\":[{\"message\":\"cannot divide by zero\"}]}",
"schema_definition": "type Query { safeDivide(a: Int!, ... |
cmsnc5up2008x6zp2ua09eng1 | Submission 09ENG1 | {
"sample_query": "{ min(values: [8, 3, 11, -2]) }",
"resolver_code": "Query: { min: (_, {values}) => values.length ? Math.min(...values) : null }",
"expected_response": "{\"data\":{\"min\":-2}}",
"schema_definition": "type Query { min(values: [Int!]!): Int }"
} |
cmsnc5up3008y6zp2xrxcn29z | Submission XCN29Z | {
"sample_query": "{ countWords(text: \"one two three\") }",
"resolver_code": "Query: { countWords: (_, {text}) => text.trim() ? text.trim().split(/\\s+/).length : 0 }",
"expected_response": "{\"data\":{\"countWords\":3}}",
"schema_definition": "type Query { countWords(text: String!): Int! }"
} |
cmsnc5up3008z6zp2boxzsncq | Submission XZSNCQ | {
"sample_query": "{ item(id: \"2\") { id label } }",
"resolver_code": "Query: { item: (_, {id}) => id === '2' ? {id:'2',label:'second'} : null }",
"expected_response": "{\"data\":{\"item\":{\"id\":\"2\",\"label\":\"second\"}}}",
"schema_definition": "type Item { id: ID!, label: String! } type Query { item(id: ... |
cmsnc5up300906zp21kvzh8ac | Submission VZH8AC | {
"sample_query": "{ unique(values: [\"a\", \"b\", \"a\", \"c\", \"b\"]) }",
"resolver_code": "Query: { unique: (_, {values}) => [...new Set(values)] }",
"expected_response": "{\"data\":{\"unique\":[\"a\",\"b\",\"c\"]}}",
"schema_definition": "type Query { unique(values: [String!]!): [String!]! }"
} |
cmsnc5up300916zp221t0k8lk | Submission T0K8LK | {
"sample_query": "{ stats(values: [2, 4, 6, 8]) { total average } }",
"resolver_code": "Query: { stats: (_, {values}) => ({total: values.reduce((a,b)=>a+b,0), average: values.length ? values.reduce((a,b)=>a+b,0)/values.length : 0}) }",
"expected_response": "{\"data\":{\"stats\":{\"total\":20,\"average\":5}}}",
... |
cmsnc5up300926zp2tbhw0z71 | Submission HW0Z71 | {
"sample_query": "{ reverse(text: \"stressed\") }",
"resolver_code": "Query: { reverse: (_, {text}) => [...text].reverse().join('') }",
"expected_response": "{\"data\":{\"reverse\":\"desserts\"}}",
"schema_definition": "type Query { reverse(text: String!): String! }"
} |
cmsnc5up300936zp2azpr2yrx | Submission PR2YRX | {
"sample_query": "{ features { name enabled } }",
"resolver_code": "Query: { features: () => [{name:'search',enabled:true},{name:'legacy',enabled:false}] }",
"expected_response": "{\"data\":{\"features\":[{\"name\":\"search\",\"enabled\":true},{\"name\":\"legacy\",\"enabled\":false}]}}",
"schema_definition": "... |
cmsnc5up300946zp29gkfmyvn | Submission KFMYVN | {
"sample_query": "{ severity(score: 65) }",
"resolver_code": "Query: { severity: (_, {score}) => score >= 80 ? 'HIGH' : score >= 40 ? 'MEDIUM' : 'LOW' }",
"expected_response": "{\"data\":{\"severity\":\"MEDIUM\"}}",
"schema_definition": "enum Level { LOW MEDIUM HIGH } type Query { severity(score: Int!): Level!... |
cmsnc5up300956zp2lole2qio | Submission LE2QIO | {
"sample_query": "{ slice(values: [10,20,30,40,50], start: 1, count: 3) }",
"resolver_code": "Query: { slice: (_, {values,start,count}) => values.slice(start, start + count) }",
"expected_response": "{\"data\":{\"slice\":[20,30,40]}}",
"schema_definition": "type Query { slice(values: [Int!]!, start: Int!, coun... |
cmso87qva00c86zp22gn4lctc | Submission N4LCTC | {
"sample_query": "{ square(x: 7) }",
"resolver_code": "Query: { square: (_, {x}) => x*x }",
"expected_response": "{\"data\":{\"square\":49}}",
"schema_definition": "type Query { square(x:Int!): Int! }"
} |
cmso87qva00c96zp2wu83165l | Submission 83165L | {
"sample_query": "{ greet(name:\"Ada\") }",
"resolver_code": "Query: { greet: (_, {name}) => `Hello, ${name}!` }",
"expected_response": "{\"data\":{\"greet\":\"Hello, Ada!\"}}",
"schema_definition": "type Query { greet(name:String!): String! }"
} |
cmso87qva00ca6zp2ugdmip0r | Submission DMIP0R | {
"sample_query": "{ even(x: 12) }",
"resolver_code": "Query: { even: (_, {x}) => x % 2 === 0 }",
"expected_response": "{\"data\":{\"even\":true}}",
"schema_definition": "type Query { even(x:Int!): Boolean! }"
} |
cmso87qva00cc6zp2tpiq7ll1 | Submission IQ7LL1 | {
"sample_query": "{ initials(first:\"Grace\",last:\"Hopper\") }",
"resolver_code": "Query: { initials: (_, {first,last}) => first[0]+last[0] }",
"expected_response": "{\"data\":{\"initials\":\"GH\"}}",
"schema_definition": "type Query { initials(first:String!, last:String!): String! }"
} |
cmso87qva00cd6zp2i1ym9el4 | Submission YM9EL4 | {
"sample_query": "{ max(a:-2,b:5) }",
"resolver_code": "Query: { max: (_, {a,b}) => Math.max(a,b) }",
"expected_response": "{\"data\":{\"max\":5}}",
"schema_definition": "type Query { max(a:Int!,b:Int!): Int! }"
} |
cmso87qva00cf6zp2zt2w91fu | Submission 2W91FU | {
"sample_query": "{ length(text:\"dataset\") }",
"resolver_code": "Query: { length: (_, {text}) => text.length }",
"expected_response": "{\"data\":{\"length\":7}}",
"schema_definition": "type Query { length(text:String!): Int! }"
} |
cmso87qva00cg6zp2opyckcpd | Submission YCKCPD | {
"sample_query": "{ upper(text:\"Graphql\") }",
"resolver_code": "Query: { upper: (_, {text}) => text.toUpperCase() }",
"expected_response": "{\"data\":{\"upper\":\"GRAPHQL\"}}",
"schema_definition": "type Query { upper(text:String!): String! }"
} |
cmso87qva00ch6zp2inhrnk0z | Submission HRNK0Z | {
"sample_query": "{ add(a:1.5,b:2.25) }",
"resolver_code": "Query: { add: (_, {a,b}) => a+b }",
"expected_response": "{\"data\":{\"add\":3.75}}",
"schema_definition": "type Query { add(a:Float!,b:Float!): Float! }"
} |
cmso87qvb00ci6zp2wcotj931 | Submission OTJ931 | {
"sample_query": "{ abs(x:-19) }",
"resolver_code": "Query: { abs: (_, {x}) => Math.abs(x) }",
"expected_response": "{\"data\":{\"abs\":19}}",
"schema_definition": "type Query { abs(x:Int!): Int! }"
} |
cmso87qvb00cj6zp21mbpy9v7 | Submission BPY9V7 | {
"sample_query": "{ contains(text:\"community pool\",part:\"pool\") }",
"resolver_code": "Query: { contains: (_, {text,part}) => text.includes(part) }",
"expected_response": "{\"data\":{\"contains\":true}}",
"schema_definition": "type Query { contains(text:String!, part:String!): Boolean! }"
} |
cmso87qvb00ck6zp2sf78n12a | Submission 78N12A | {
"sample_query": "{ first(values:[8,3,1]) }",
"resolver_code": "Query: { first: (_, {values}) => values.length ? values[0] : null }",
"expected_response": "{\"data\":{\"first\":8}}",
"schema_definition": "type Query { first(values:[Int!]!): Int }"
} |
cmso87qvb00cl6zp2sduhbhk3 | Submission UHBHK3 | {
"sample_query": "{ sum(values:[2,4,6]) }",
"resolver_code": "Query: { sum: (_, {values}) => values.reduce((a,b)=>a+b,0) }",
"expected_response": "{\"data\":{\"sum\":12}}",
"schema_definition": "type Query { sum(values:[Int!]!): Int! }"
} |
cmso87qvb00cm6zp2qc719b3o | Submission 719B3O | {
"sample_query": "{ count(values:[\"a\",\"b\",\"c\"]) }",
"resolver_code": "Query: { count: (_, {values}) => values.length }",
"expected_response": "{\"data\":{\"count\":3}}",
"schema_definition": "type Query { count(values:[String!]!): Int! }"
} |
cmso87qvb00cn6zp285s9cwqj | Submission S9CWQJ | {
"sample_query": "{ join(values:[\"a\",\"b\",\"c\"],sep:\"-\") }",
"resolver_code": "Query: { join: (_, {values,sep}) => values.join(sep) }",
"expected_response": "{\"data\":{\"join\":\"a-b-c\"}}",
"schema_definition": "type Query { join(values:[String!]!, sep:String!): String! }"
} |
cmso87qvb00co6zp2bk8dfuh9 | Submission 8DFUH9 | {
"sample_query": "{ reverse(text:\"abcde\") }",
"resolver_code": "Query: { reverse: (_, {text}) => [...text].reverse().join('') }",
"expected_response": "{\"data\":{\"reverse\":\"edcba\"}}",
"schema_definition": "type Query { reverse(text:String!): String! }"
} |
cmso87qvd00cp6zp22oxfjpv2 | Submission XFJPV2 | {
"sample_query": "{ positive(x:0) }",
"resolver_code": "Query: { positive: (_, {x}) => x > 0 }",
"expected_response": "{\"data\":{\"positive\":false}}",
"schema_definition": "type Query { positive(x:Int!): Boolean! }"
} |
cmso87qvd00cq6zp2ww13qxm2 | Submission 13QXM2 | {
"sample_query": "{ range(n:4) }",
"resolver_code": "Query: { range: (_, {n}) => Array.from({length:n},(_,i)=>i) }",
"expected_response": "{\"data\":{\"range\":[0,1,2,3]}}",
"schema_definition": "type Query { range(n:Int!): [Int!]! }"
} |
cmso87qvd00cr6zp2pv5ld4ej | Submission 5LD4EJ | {
"sample_query": "{ min(values:[9,-2,5]) }",
"resolver_code": "Query: { min: (_, {values}) => Math.min(...values) }",
"expected_response": "{\"data\":{\"min\":-2}}",
"schema_definition": "type Query { min(values:[Int!]!): Int! }"
} |
cmso87qvd00cs6zp2m8bk2ack | Submission BK2ACK | {
"sample_query": "{ starts(text:\"resolver\",prefix:\"res\") }",
"resolver_code": "Query: { starts: (_, {text,prefix}) => text.startsWith(prefix) }",
"expected_response": "{\"data\":{\"starts\":true}}",
"schema_definition": "type Query { starts(text:String!, prefix:String!): Boolean! }"
} |
cmso87qvd00ct6zp2ph73l0w7 | Submission 73L0W7 | {
"sample_query": "{ power(a:3,b:4) }",
"resolver_code": "Query: { power: (_, {a,b}) => a ** b }",
"expected_response": "{\"data\":{\"power\":81}}",
"schema_definition": "type Query { power(a:Int!,b:Int!): Int! }"
} |
cmso87qvd00cu6zp24difot2t | Submission IFOT2T | {
"sample_query": "{ safeDivide(a:9,b:0) }",
"resolver_code": "Query: { safeDivide: (_, {a,b}) => b===0 ? null : a/b }",
"expected_response": "{\"data\":{\"safeDivide\":null}}",
"schema_definition": "type Query { safeDivide(a:Int!,b:Int!): Float }"
} |
cmso87qvd00cv6zp2s9061srr | Submission 061SRR | {
"sample_query": "{ last(values:[\"x\",\"y\",\"z\"]) }",
"resolver_code": "Query: { last: (_, {values}) => values.length ? values[values.length-1] : null }",
"expected_response": "{\"data\":{\"last\":\"z\"}}",
"schema_definition": "type Query { last(values:[String!]!): String }"
} |
cmso87qvd00cw6zp2i64ffydj | Submission 4FFYDJ | {
"sample_query": "{ words(text:\"one two three\") }",
"resolver_code": "Query: { words: (_, {text}) => text.trim() ? text.trim().split(/\\s+/).length : 0 }",
"expected_response": "{\"data\":{\"words\":3}}",
"schema_definition": "type Query { words(text:String!): Int! }"
} |
cmso87qvd00cx6zp2zv0c18ow | Submission 0C18OW | {
"sample_query": "{ xor(a:true,b:false) }",
"resolver_code": "Query: { xor: (_, {a,b}) => a !== b }",
"expected_response": "{\"data\":{\"xor\":true}}",
"schema_definition": "type Query { xor(a:Boolean!,b:Boolean!): Boolean! }"
} |
cmso87qvd00cy6zp2xt8xm8i0 | Submission 8XM8I0 | {
"sample_query": "{ median3(a:9,b:2,c:5) }",
"resolver_code": "Query: { median3: (_, {a,b,c}) => [a,b,c].sort((x,y)=>x-y)[1] }",
"expected_response": "{\"data\":{\"median3\":5}}",
"schema_definition": "type Query { median3(a:Int!,b:Int!,c:Int!): Int! }"
} |
cmso87qvd00cz6zp2hhep6jmx | Submission EP6JMX | {
"sample_query": "{ replace(text:\"a-b-a\",from:\"a\",to:\"x\") }",
"resolver_code": "Query: { replace: (_, {text,from,to}) => text.split(from).join(to) }",
"expected_response": "{\"data\":{\"replace\":\"x-b-x\"}}",
"schema_definition": "type Query { replace(text:String!,from:String!,to:String!): String! }"
} |
cmso87qvd00d06zp22d3rtrb5 | Submission 3RTRB5 | {
"sample_query": "{ factorial(n:6) }",
"resolver_code": "Query: { factorial: (_, {n}) => { let r=1; for(let i=2;i<=n;i++) r*=i; return r; } }",
"expected_response": "{\"data\":{\"factorial\":720}}",
"schema_definition": "type Query { factorial(n:Int!): Int! }"
} |
cmso87qvd00d16zp2gjf027ac | Submission F027AC | {
"sample_query": "{ unique(values:[1,2,1,3,2]) }",
"resolver_code": "Query: { unique: (_, {values}) => [...new Set(values)] }",
"expected_response": "{\"data\":{\"unique\":[1,2,3]}}",
"schema_definition": "type Query { unique(values:[Int!]!): [Int!]! }"
} |
cmsr3le8d000032p23kkyil4r | Submission KYIL4R | {
"sample_query": "{ account(id: \"acct-7\") { id tier usage(multiplier: 2) { requests storageGb } } }",
"resolver_code": "Query: { account: (_, {id}) => id === 'acct-7' ? ({ id, tier: 'PRO', requests: 1200, storage: 18.5 }) : null }, Account: { usage: (a, {multiplier}) => ({ requests: a.requests * multiplier, stor... |
cmsr3le8e000132p2np7co8m7 | Submission 7CO8M7 | {
"sample_query": "{ order(id:\"ord-9\") { id items(minQty:2) { sku qty subtotal } total(minQty:2) } }",
"resolver_code": "Query: { order: (_, {id}) => ({ id, items: [{sku:'A1',qty:2,unitPrice:4.5},{sku:'B2',qty:1,unitPrice:9},{sku:'C3',qty:3,unitPrice:2}] }) }, Order: { items: (o,{minQty}) => o.items.filter(x => x... |
cmsr3le8e000232p2ln6rw5x2 | Submission 6RW5X2 | {
"sample_query": "{ sensor(id:\"s-2\") { readings(from:2,to:4){ minute value } average(from:2,to:4) } }",
"resolver_code": "Query: { sensor: (_, {id}) => ({ id, readings: [{minute:1,value:10},{minute:2,value:14},{minute:3,value:8},{minute:4,value:12}] }) }, Sensor: { readings: (s,{from,to}) => s.readings.filter(r ... |
cmsr3le8e000332p2wwwzurvt | Submission WZURVT | {
"sample_query": "{ node(id:\"t-3\") { id ... on User { name score } ... on Team { name members } } }",
"resolver_code": "Query: { node: (_, {id}) => id.startsWith('u') ? ({__kind:'User',id,name:'Mira',score:91}) : ({__kind:'Team',id,name:'Atlas',members:6}) }, Node: { __resolveType: (obj) => obj.__kind }",
"exp... |
cmsr3le8e000432p23ldy5w0c | Submission DY5W0C | {
"sample_query": "{ search(term:\"GRAPH\") { __typename ... on Article { title words } ... on Repository { name stars } } }",
"resolver_code": "Query: { search: (_, {term}) => term.toLowerCase() === 'graph' ? [{kind:'Article',title:'Graph Systems',words:1800},{kind:'Repository',name:'graph-kit',stars:420}] : [] },... |
cmsr3le8e000532p2x6g184c7 | Submission G184C7 | {
"sample_query": "{ products(minPrice:30, sort:DESC){ totalCount nodes { name price } } }",
"resolver_code": "Query: { products: (_, {minPrice,sort}) => { const all=[{name:'Desk',price:120},{name:'Lamp',price:35},{name:'Chair',price:85},{name:'Mat',price:25}].filter(p=>p.price>=minPrice); all.sort((a,b)=>sort==='A... |
cmsr3le8e000632p2r5u5wr6n | Submission U5WR6N | {
"sample_query": "{ post(slug:\"deep-dive\") { title commentCount comments(limit:2){ author body } } }",
"resolver_code": "Query: { post: (_, {slug}) => slug === 'deep-dive' ? ({title:'Deep Dive',comments:[{body:'First',author:'Ana'},{body:'Second',author:'Bo'},{body:'Third',author:'Cy'}]}) : null }, Post: { comme... |
cmsr3le8e000732p2cemdu3jy | Submission MDU3JY | {
"sample_query": "{ invoice(id:\"inv-4\") { id net { currency amount } tax(rate:0.08){ amount } gross(rate:0.08){ amount } } }",
"resolver_code": "Query: { invoice: (_, {id}) => ({id,base:250,currency:'USD'}) }, Invoice: { net: (i) => ({currency:i.currency,amount:i.base}), tax: (i,{rate}) => ({currency:i.currency,... |
cmsr3le8e000832p25fdxdmxu | Submission DXDMXU | {
"sample_query": "{ matrix(size:3) { size diagonalSum cells(minValue:7){ row col value } } }",
"resolver_code": "Query: { matrix: (_, {size}) => ({size,cells:Array.from({length:size*size},(_,i)=>({row:Math.floor(i/size),col:i%size,value:i+1}))}) }, Matrix: { cells: (m,{minValue}) => m.cells.filter(c=>c.value>=minV... |
cmsr3le8e000932p2dohd1zkn | Submission HD1ZKN | {
"sample_query": "{ network { routes(maxDistance:12){ from to distance } longest { from to distance } } }",
"resolver_code": "Query: { network: () => ({routes:[{from:'A',to:'B',distance:7},{from:'B',to:'C',distance:12},{from:'A',to:'C',distance:15}]}) }, Network: { routes: (n,{maxDistance}) => n.routes.filter(r=>r... |
cmsr3le8e000a32p2g16sa4gf | Submission 6SA4GF | {
"sample_query": "{ histogram(values:[3,11,18,25,27,8,14]) { total buckets { label count } maxBucket { label count } } }",
"resolver_code": "Query: { histogram: (_, {values}) => { const bands=[{label:'low',test:x=>x<10},{label:'mid',test:x=>x>=10&&x<20},{label:'high',test:x=>x>=20}]; const buckets=bands.map(b=>({l... |
cmsr3le8e000b32p2h2rshcye | Submission RSHCYE | {
"sample_query": "{ numbers(after:2, first:3) { edges { cursor value } hasNextPage } }",
"resolver_code": "Query: { numbers: (_, {after,first}) => { const all=[2,4,6,8,10,12]; const slice=all.slice(after,after+first); return {edges:slice.map((v,i)=>({cursor:String(after+i+1),value:v})),hasNextPage:after+first<all.... |
cmsr3le8e000c32p2bdcekn2q | Submission CEKN2Q | {
"sample_query": "{ department(code:\"ENG\") { name payroll employees(minSalary:85000){ name bonus(multiplier:0.1) } } }",
"resolver_code": "Query: { department: (_, {code}) => ({name:code==='ENG'?'Engineering':'Other',employees:[{name:'Ira',salary:90000},{name:'Jules',salary:115000},{name:'Kai',salary:78000}]}) }... |
cmsr3le8e000d32p2c93alhff | Submission 3ALHFF | {
"sample_query": "{ matches(includeDraws:false){ home away winner } }",
"resolver_code": "Query: { matches: (_, {includeDraws}) => [{home:'Red',away:'Blue',homeGoals:2,awayGoals:1},{home:'Gold',away:'Green',homeGoals:0,awayGoals:0},{home:'Black',away:'White',homeGoals:1,awayGoals:3}].filter(m=>includeDraws||m.home... |
cmsr3le8e000e32p2s9g0oicy | Submission G0OICY | {
"sample_query": "{ stats(range:{min:3,max:8}) { values mean evenCount } }",
"resolver_code": "Query: { stats: (_, {range}) => { const values=Array.from({length:range.max-range.min+1},(_,i)=>range.min+i); return {values}; } }, Stats: { mean: (s)=>s.values.reduce((a,b)=>a+b,0)/s.values.length, evenCount:(s)=>s.valu... |
cmsr3le8e000f32p2mj3km5cd | Submission 3KM5CD | {
"sample_query": "{ directory(name:\"src\") { name totalBytes files(ext:\"js\") { path bytes extension } } }",
"resolver_code": "Query: { directory: (_, {name}) => ({name,files:[{path:'a.js',bytes:120},{path:'b.py',bytes:80},{path:'c.js',bytes:200}]}) }, Directory: { files: (d,{ext})=>ext?d.files.filter(f=>f.path.... |
cmsr3le8e000g32p2vfi9cx07 | Submission I9CX07 | {
"sample_query": "{ pipeline(id:\"p1\") { totalDuration steps(criticalOnly:true){ name duration critical } } }",
"resolver_code": "Query: { pipeline: (_, {id}) => ({id,steps:[{name:'lint',duration:12,critical:false},{name:'test',duration:45,critical:true},{name:'build',duration:30,critical:true}]}) }, Pipeline: { ... |
cmsr3le8e000h32p2ms5t81qn | Submission 5T81QN | {
"sample_query": "{ election { totalVotes winner { name votes share(total:120) } } }",
"resolver_code": "Query: { election: () => ({candidates:[{name:'A',votes:42},{name:'B',votes:57},{name:'C',votes:21}]}) }, Election: { totalVotes:(e)=>e.candidates.reduce((s,c)=>s+c.votes,0), winner:(e)=>e.candidates.reduce((a,b... |
cmsr3le8e000i32p2ent4djzp | Submission T4DJZP | {
"sample_query": "{ quiz(id:\"q7\") { average best { user score } attempts(minScore:80){ user score } } }",
"resolver_code": "Query: { quiz: (_, {id}) => ({id,attempts:[{user:'u1',score:72},{user:'u2',score:95},{user:'u3',score:84},{user:'u4',score:61}]}) }, Quiz: { attempts:(q,{minScore})=>q.attempts.filter(a=>a.... |
cmsr3le8e000j32p2zgou88p8 | Submission OU88P8 | {
"sample_query": "{ timeline { covered segments(minLength:5){ start end length } } }",
"resolver_code": "Query: { timeline: () => ({segments:[{start:0,end:5},{start:7,end:10},{start:12,end:20}]}) }, Timeline: { segments:(t,{minLength})=>t.segments.filter(s=>s.end-s.start>=minLength), covered:(t)=>t.segments.reduce... |
cmsr3le8e000k32p25155chqq | Submission 55CHQQ | {
"sample_query": "{ airport(code:\"NTH\") { code flights(minAvailable:10){ code available } } }",
"resolver_code": "Query: { airport: (_, {code}) => ({code,flights:[{code:'ZX1',seats:100,booked:84},{code:'ZX2',seats:80,booked:60},{code:'ZX3',seats:120,booked:115}]}) }, Airport: { flights:(a,{minAvailable})=>a.flig... |
cmsr3le8e000l32p2whcnvq94 | Submission CNVQ94 | {
"sample_query": "{ package(name:\"core\") { name versions(stableOnly:true){ number stable } latestStable { number } } }",
"resolver_code": "Query: { package: (_, {name}) => ({name,versions:[{number:1,stable:true},{number:2,stable:false},{number:3,stable:true},{number:4,stable:false}]}) }, Package: { versions:(p,{... |
cmsr3le8e000m32p2ye02aa62 | Submission 02AA62 | {
"sample_query": "{ normalize(values:[10,20,15,30]) range(values:[10,20,15,30]) { low high span } }",
"resolver_code": "Query: { normalize: (_, {values}) => { const lo=Math.min(...values), hi=Math.max(...values); return values.map(v=>hi===lo?0:(v-lo)/(hi-lo)); }, range:(_, {values})=>({low:Math.min(...values),high... |
cmsr3le8e000n32p2b3tywyv6 | Submission TYWYV6 | {
"sample_query": "{ queue { items(minPriority:3){ id priority age rank } } }",
"resolver_code": "Query: { queue: () => ({items:[{id:'a',priority:2,age:5},{id:'b',priority:5,age:1},{id:'c',priority:5,age:4},{id:'d',priority:3,age:9}]}) }, Queue: { items:(q,{minPriority})=>q.items.filter(x=>x.priority>=minPriority).... |
cmsr3le8e000o32p2ruopa3l4 | Submission OPA3L4 | {
"sample_query": "{ cart { lines { sku lineTotal } subtotal discountedTotal(threshold:75,rate:0.2) } }",
"resolver_code": "Query: { cart: () => ({lines:[{sku:'P1',qty:2,price:12.5},{sku:'P2',qty:1,price:40},{sku:'P3',qty:3,price:5}]}) }, Cart: { subtotal:(c)=>c.lines.reduce((s,l)=>s+l.qty*l.price,0), discountedTot... |
cmsr3le8e000p32p2gbs27dsk | Submission S27DSK | {
"sample_query": "{ path(coords:[[0,0],[2,1],[2,4],[-1,4]]) { points { x y manhattan } totalDistance } }",
"resolver_code": "Query: { path: (_, {coords}) => ({points:coords.map(([x,y])=>({x,y}))}) }, Point: { manhattan:(p)=>Math.abs(p.x)+Math.abs(p.y) }, Path: { totalDistance:(p)=>p.points.slice(1).reduce((s,pt,i)... |
cmsr3le8e000q32p2c0nztxfm | Submission NZTXFM | {
"sample_query": "{ sprint { tasks(done:false){ id effort } completedEffort remainingEffort } }",
"resolver_code": "Query: { sprint: () => ({tasks:[{id:'t1',effort:3,done:true},{id:'t2',effort:8,done:false},{id:'t3',effort:5,done:true},{id:'t4',effort:2,done:false}]}) }, Sprint: { tasks:(s,{done})=>typeof done==='... |
cmsr3le8e000r32p2lxn3g6fa | Submission N3G6FA | {
"sample_query": "{ table { rows(min:8,max:15){ key value } sum(min:8,max:15) } }",
"resolver_code": "Query: { table: () => ({rows:[{key:'a',value:4},{key:'b',value:9},{key:'c',value:13},{key:'d',value:21}]}) }, Table: { rows:(t,{min,max})=>t.rows.filter(r=>r.value>=min&&r.value<=max), sum:(t,{min,max})=>t.rows.fi... |
cmsr3le8e000s32p27dwm4ekh | Submission WM4EKH | {
"sample_query": "{ classify(value:17) bands { name contains(value:17) } }",
"resolver_code": "Query: { bands: () => [{name:'low',min:0,max:9},{name:'mid',min:10,max:19},{name:'high',min:20,max:99}], classify:(_, {value}) => value<10?'low':value<20?'mid':'high' }, Band: { contains:(b,{value})=>value>=b.min&&value<... |
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GraphQL Schema Resolver Execution Validation
Each item is a graphql schema resolver execution validation example providing Schema (SDL), Resolver map, Sample query, Expected response (JSON). Favour realistic, self-contained cases; avoid duplicating public benchmark examples or trivial ones.
About
This dataset was produced by the DataBounty community and published here as part of an open, karma-only program.
- Accepted items: 1000
- Language: JavaScript
- Framework: Community
- License: CC-BY-4.0
Contributors
- @advisorygopher
- @ajaysomavarapu
- @arun-ai-forge
- @benam2k
- @bhanu-n
- @bravebooby
- @combinedgoat
- @culturalturtle
- @directfly
- @dutchswan
- @famousgoose
- @integralgoldfish
- @kumar-k
- @maheshk218
- @odysseus
- @pleasedgiraffe
- @pushpatherule
- @raja
- @sparemockingbird
- @sravan
- @starlord
- @vamshi
- @vinodhsnair
Files
data/items.jsonl— the accepted dataset items (one JSON object per line).manifest.json— machine-readable provenance, license, and credit metadata.
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