instruction stringclasses 1
value | input dict | output dict |
|---|---|---|
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9486",
"7631",
"6252",
"9169",
"5380",
"9133",
"6920",
"9442",
"10025",
"9128",
"8528",
"9333",
"10684",
"8195",
"3742",
"11002",
"10027",
"10697",
"9206",
"10846",
"6381",
"9130",
"7517",
"10566",
"... | {
"recommended": [
"9462",
"9486",
"7631",
"6252",
"9169",
"5380",
"9133",
"6920",
"9442",
"10025"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11123",
"10758",
"10158",
"5437",
"11272",
"9717",
"9342",
"11088",
"10427",
"10417",
"10101",
"11270",
"9926",
"10217",
"8455",
"10060",
"7164",
"10230",
"10170",
"10193",
"10088",
"10087",
"9171",
"107... | {
"recommended": [
"10737",
"11123",
"10758",
"10158",
"5437",
"11272",
"9717",
"9342",
"11088",
"10427"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"6340",
"7864",
"125",
"7091",
"1223",
"9033",
"8048",
"9120",
"11075",
"7251",
"6884",
"9021",
"4314",
"8055",
"342",
"9569",
"11425",
"10160",
"11231",
"9009",
"10158",
"8051",
"7979",
"10179",
"634... | {
"recommended": [
"11013",
"6340",
"7864",
"125",
"7091",
"1223",
"9033",
"8048",
"9120",
"11075"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"9937",
"11499",
"10760",
"11626",
"10054",
"5930",
"11479",
"10216",
"4777",
"4931",
"7839",
"4937",
"10060",
"1747",
"10156",
"11629",
"11411",
"8745",
"7972",
"11382",
"10056",
"9018",
"7838",
"10041",... | {
"recommended": [
"8239",
"9937",
"11499",
"10760",
"11626",
"10054",
"5930",
"11479",
"10216",
"4777"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11818",
"11303",
"11429",
"11682",
"11404",
"11505",
"2068",
"11508",
"11831",
"10427",
"11108",
"11759",
"11537",
"11512",
"10401",
"11751",
"11590",
"11249",
"10253",
"11544",
"5125",
"11658",
"11669",
... | {
"recommended": [
"11511",
"11818",
"11303",
"11429",
"11682",
"11404",
"11505",
"2068",
"11508",
"11831"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10380",
"10436",
"10501",
"11059",
"11340",
"10808",
"10929",
"10593",
"10993",
"10372",
"11349",
"10699",
"10632",
"10884",
"10405",
"11228",
"11066",
"10382",
"7220",
"10866",
"9462",
"9579",
"8718",
"... | {
"recommended": [
"6199",
"10380",
"10436",
"10501",
"11059",
"11340",
"10808",
"10929",
"10593",
"10993"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3570",
"10895",
"10671",
"9353",
"9166",
"11403",
"9161",
"11437",
"8507",
"11075",
"10984",
"10761",
"5579",
"10843",
"8404",
"10507",
"8500",
"6816",
"9286",
"9990",
"11228",
"11230",
"11340",
"4623",
... | {
"recommended": [
"8496",
"3570",
"10895",
"10671",
"9353",
"9166",
"11403",
"9161",
"11437",
"8507"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"286",
"10850",
"2467",
"1084",
"8898",
"4563",
"7005",
"436",
"6450",
"3862",
"1989",
"9211",
"5963",
"10632",
"7002",
"6381",
"196",
"1112",
"1759",
"8673",
"4540",
"4407",
"593",
"3352",
"7890",
... | {
"recommended": [
"6076",
"286",
"10850",
"2467",
"1084",
"8898",
"4563",
"7005",
"436",
"6450"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"10963",
"8940",
"10712",
"5967",
"9638",
"10237",
"7873",
"10436",
"10372",
"8997",
"6975",
"9462",
"7877",
"10564",
"9481",
"10025",
"9184",
"9592",
"4707",
"8404",
"9773",
"8935",
"8965",
"7120",
"... | {
"recommended": [
"7301",
"10963",
"8940",
"10712",
"5967",
"9638",
"10237",
"7873",
"10436",
"10372"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"11796",
"11644",
"11121",
"11047",
"11412",
"11573",
"9761",
"11150",
"11415",
"10156",
"11255",
"10412",
"10436",
"11555",
"10196",
"10159",
"10796",
"10939",
"10468",
"10972",
"10535",
"11556",
"10820",
... | {
"recommended": [
"11555",
"11796",
"11644",
"11121",
"11047",
"11412",
"11573",
"9761",
"11150",
"11415"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"3926",
"1265",
"2884",
"5148",
"281",
"1664",
"6378",
"2829",
"1827",
"4319",
"5732",
"1421",
"3347",
"3763",
"926",
"4391",
"1375",
"5191",
"8568",
"3307",
"3304",
"1171",
"3305",
"2612",
"1047",
... | {
"recommended": [
"6138",
"3926",
"1265",
"2884",
"5148",
"281",
"1664",
"6378",
"2829",
"1827"
]
} |
Recommend ten toys and games products from the candidate list based on user's interaction history and sentiment label from the reviews. | {
"candidates": [
"7828",
"3103",
"7339",
"11289",
"103",
"621",
"150",
"6473",
"39",
"4869",
"10867",
"3551",
"7503",
"11357",
"3571",
"10090",
"6775",
"1310",
"3265",
"10299",
"9722",
"101",
"1950",
"38",
"4610",
... | {
"recommended": [
"7249",
"7828",
"3103",
"7339",
"11289",
"103",
"621",
"150",
"6473",
"39"
]
} |
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