vidore_benchmark_reranker_adapted
Collection
Vidore benchmark (mostly V2 datasets) adapted to reranker eveluation
•
6 items
•
Updated
Dataset Viewer
query
string | query_id
string | top_25_image_filenames
list | top_25_scores
list | relevant_image_filenames
list |
|---|---|---|---|---|
Who is responsible for integrating climate consideration into Jack in the box governance?
|
query-test-0
|
[
752,
748,
739,
741,
728,
751,
266,
237,
755,
1067,
757,
110,
470,
1255,
743,
749,
753,
1155,
735,
1168,
267,
1,
1117,
1304,
1093
] |
[
0.477294921875,
0.457763671875,
0.446044921875,
0.4443359375,
0.44091796875,
0.431640625,
0.417724609375,
0.41015625,
0.40771484375,
0.404541015625,
0.402587890625,
0.402587890625,
0.396240234375,
0.3955078125,
0.39013671875,
0.387939453125,
0.38720703125,
0.385986328125,
0.384521484375,
0.373779296875,
0.371826171875,
0.3701171875,
0.366455078125,
0.365966796875,
0.36474609375
] |
[
"752",
"742",
"743"
] |
What key environmental metrics is Jack in the Box currently prioritizing?
|
query-test-1
|
[
749,
751,
739,
755,
758,
748,
757,
738,
740,
750,
728,
457,
572,
735,
732,
1420,
576,
759,
1246,
1155,
1482,
1125,
736,
458,
17
] |
[
0.55078125,
0.496826171875,
0.47705078125,
0.456298828125,
0.455810546875,
0.448974609375,
0.44482421875,
0.43505859375,
0.416259765625,
0.4033203125,
0.4033203125,
0.400634765625,
0.39990234375,
0.396728515625,
0.396484375,
0.39404296875,
0.392333984375,
0.3916015625,
0.386474609375,
0.3837890625,
0.3837890625,
0.3828125,
0.38232421875,
0.380126953125,
0.378662109375
] |
[
"753",
"758",
"743"
] |
What steps has Shake Shack taken to create a welcoming environment for gay customers?
|
query-test-2
|
[
1214,
1203,
1217,
1206,
1198,
1194,
1197,
1268,
1269,
1215,
1255,
1200,
1228,
1252,
1218,
1227,
1201,
1267,
1238,
1211,
1209,
1231,
1245,
1202,
1204
] |
[
0.51171875,
0.5,
0.474853515625,
0.4658203125,
0.464111328125,
0.45556640625,
0.44970703125,
0.448486328125,
0.44677734375,
0.439697265625,
0.42041015625,
0.41943359375,
0.413818359375,
0.41357421875,
0.4091796875,
0.404296875,
0.403564453125,
0.399169921875,
0.39501953125,
0.39404296875,
0.392822265625,
0.390869140625,
0.38720703125,
0.386962890625,
0.380615234375
] |
[
"1214"
] |
Which projects does Shake Shack endorse to support the LGBTQ+ community?
|
query-test-3
|
[
1214,
1197,
1198,
1200,
1206,
1194,
1269,
1211,
1268,
1267,
1196,
1204,
1203,
1242,
1245,
1173,
1043,
1201,
274,
1485,
1218,
1217,
717,
715,
1215
] |
[
0.5986328125,
0.58154296875,
0.53466796875,
0.501953125,
0.49365234375,
0.48095703125,
0.4794921875,
0.460205078125,
0.457275390625,
0.455078125,
0.44775390625,
0.446044921875,
0.44287109375,
0.439208984375,
0.436767578125,
0.433837890625,
0.432861328125,
0.4326171875,
0.42919921875,
0.42626953125,
0.42431640625,
0.42333984375,
0.420166015625,
0.419921875,
0.412841796875
] |
[
"1218",
"1206",
"1214",
"1197",
"1200"
] |
What is the footprint percentage of American and Canadian Wendy's restaurants?
|
query-test-4
|
[
1486,
1497,
1492,
1513,
1488,
1494,
1487,
1483,
1482,
1472,
1136,
1481,
705,
1505,
1490,
1463,
1503,
1460,
1471,
1470,
1493,
974,
1496,
725,
656
] |
[
0.45703125,
0.425537109375,
0.42333984375,
0.4169921875,
0.402587890625,
0.397216796875,
0.387939453125,
0.3779296875,
0.3720703125,
0.36669921875,
0.365478515625,
0.3642578125,
0.36279296875,
0.353271484375,
0.351318359375,
0.35009765625,
0.3466796875,
0.342041015625,
0.342041015625,
0.335693359375,
0.33447265625,
0.333251953125,
0.328857421875,
0.32470703125,
0.32470703125
] |
[
"1462"
] |
Which supplier did Wendy's recognize as the most ESG responsible in 2023?
|
query-test-5
|
[
1462,
1463,
1470,
1482,
1466,
1503,
1468,
1403,
1124,
1488,
1492,
953,
809,
1513,
1502,
904,
460,
1121,
1465,
924,
1477,
304,
424,
1420,
1516
] |
[
0.55322265625,
0.51513671875,
0.49658203125,
0.483642578125,
0.478515625,
0.4716796875,
0.452392578125,
0.450927734375,
0.447021484375,
0.43994140625,
0.42724609375,
0.421142578125,
0.419677734375,
0.41650390625,
0.416015625,
0.412353515625,
0.411865234375,
0.40625,
0.4033203125,
0.40234375,
0.400634765625,
0.400146484375,
0.399169921875,
0.39892578125,
0.397705078125
] |
[
"1462"
] |
What are Restaurant Brands International's sustainability targets for electricity usage by 2030?
|
query-test-6
|
[
1147,
1155,
345,
1171,
861,
796,
1294,
150,
675,
1172,
921,
1170,
155,
1369,
1343,
478,
1193,
860,
1165,
1489,
16,
1271,
498,
203,
1494
] |
[
0.499267578125,
0.496826171875,
0.487060546875,
0.4560546875,
0.4384765625,
0.43408203125,
0.427978515625,
0.424072265625,
0.422607421875,
0.418701171875,
0.416748046875,
0.416259765625,
0.414794921875,
0.414306640625,
0.413330078125,
0.412109375,
0.41015625,
0.406494140625,
0.40576171875,
0.4052734375,
0.402099609375,
0.40185546875,
0.4013671875,
0.399658203125,
0.396484375
] |
[
"1147"
] |
What is the disclosure number of Campbell's Materials Used by Weight and Volume?
|
query-test-7
|
[
95,
97,
104,
93,
89,
1180,
96,
102,
111,
92,
99,
106,
98,
91,
1082,
103,
94,
261,
77,
44,
1084,
105,
86,
87,
56
] |
[
0.476318359375,
0.4541015625,
0.400634765625,
0.370361328125,
0.361572265625,
0.3603515625,
0.357421875,
0.3544921875,
0.353759765625,
0.35107421875,
0.350830078125,
0.34423828125,
0.332763671875,
0.325927734375,
0.323974609375,
0.323974609375,
0.319580078125,
0.310302734375,
0.30517578125,
0.30078125,
0.298095703125,
0.295654296875,
0.29541015625,
0.28515625,
0.28466796875
] |
[
"95"
] |
Percentage of Female promotions in 2024 at Collins Foods.
|
query-test-8
|
[
355,
352,
568,
351,
325,
574,
533,
34,
1406,
563,
256,
546,
380,
259,
354,
326,
587,
552,
900,
578,
83,
350,
583,
897,
369
] |
[
0.53955078125,
0.473388671875,
0.414306640625,
0.40576171875,
0.40380859375,
0.40185546875,
0.396728515625,
0.395263671875,
0.393798828125,
0.390869140625,
0.388427734375,
0.3876953125,
0.385986328125,
0.385986328125,
0.384765625,
0.383544921875,
0.378173828125,
0.377685546875,
0.37646484375,
0.3701171875,
0.36865234375,
0.3681640625,
0.365966796875,
0.3623046875,
0.361328125
] |
[
"355"
] |
Who are the most promoted people at TacoBell?
|
query-test-9
|
[
406,
204,
274,
353,
1097,
425,
355,
223,
703,
246,
1430,
1204,
1473,
760,
695,
697,
1433,
222,
1268,
1157,
201,
1194,
235,
41,
1439
] |
[
0.42041015625,
0.4169921875,
0.412353515625,
0.391357421875,
0.37890625,
0.364990234375,
0.35986328125,
0.349365234375,
0.34912109375,
0.345703125,
0.34423828125,
0.33984375,
0.337646484375,
0.33447265625,
0.333740234375,
0.329345703125,
0.3291015625,
0.326416015625,
0.32568359375,
0.325439453125,
0.322509765625,
0.322509765625,
0.322021484375,
0.321533203125,
0.3212890625
] |
[
"355"
] |
How does Collins Foods recognize its employees' feats?
|
query-test-10
|
[
351,
327,
353,
350,
354,
356,
352,
380,
274,
1474,
198,
326,
1437,
361,
62,
197,
114,
402,
1438,
1481,
41,
196,
117,
429,
193
] |
[
0.51123046875,
0.5078125,
0.48974609375,
0.474609375,
0.458984375,
0.44384765625,
0.4404296875,
0.43408203125,
0.418701171875,
0.415283203125,
0.409423828125,
0.408935546875,
0.40869140625,
0.408447265625,
0.40576171875,
0.403076171875,
0.400390625,
0.39892578125,
0.39501953125,
0.392578125,
0.388671875,
0.387451171875,
0.38671875,
0.385986328125,
0.385498046875
] |
[
"353"
] |
Is KFC planning to open green 5-star restaurants?
|
query-test-11
|
[
346,
348,
336,
1251,
367,
349,
16,
332,
1295,
199,
329,
760,
412,
1221,
496,
325,
201,
345,
495,
197,
1191,
415,
687,
198,
436
] |
[
0.464599609375,
0.458984375,
0.445556640625,
0.437255859375,
0.417236328125,
0.413818359375,
0.408935546875,
0.40673828125,
0.3955078125,
0.39501953125,
0.384033203125,
0.376220703125,
0.37548828125,
0.375244140625,
0.37451171875,
0.369384765625,
0.369140625,
0.365966796875,
0.365478515625,
0.3564453125,
0.3564453125,
0.356201171875,
0.35546875,
0.353515625,
0.351806640625
] |
[
"339",
"345"
] |
Is KFC using renewables?
|
query-test-12
|
[
348,
346,
349,
391,
336,
329,
1103,
332,
1487,
1486,
199,
376,
203,
1251,
861,
267,
375,
367,
1229,
907,
452,
345,
1494,
760,
52
] |
[
0.46484375,
0.459716796875,
0.45947265625,
0.44140625,
0.431396484375,
0.42431640625,
0.424072265625,
0.408447265625,
0.407958984375,
0.40380859375,
0.40234375,
0.402099609375,
0.400146484375,
0.397705078125,
0.39697265625,
0.39404296875,
0.392333984375,
0.39111328125,
0.389892578125,
0.386474609375,
0.38623046875,
0.38232421875,
0.380126953125,
0.37744140625,
0.374755859375
] |
[
"391",
"380",
"345",
"375",
"374",
"376"
] |
How did Campbell's emissions evolve from 2020 to 2023?
|
query-test-13
|
[
51,
111,
86,
243,
87,
601,
791,
1507,
604,
453,
841,
858,
454,
954,
1417,
469,
52,
378,
1489,
602,
254,
1063,
600,
452,
114
] |
[
0.486572265625,
0.464599609375,
0.441162109375,
0.428466796875,
0.42822265625,
0.425048828125,
0.413818359375,
0.41357421875,
0.407958984375,
0.39794921875,
0.396240234375,
0.395751953125,
0.39453125,
0.39208984375,
0.39111328125,
0.3876953125,
0.386474609375,
0.385498046875,
0.380859375,
0.376953125,
0.375244140625,
0.375244140625,
0.374755859375,
0.369384765625,
0.3681640625
] |
[
"86",
"51",
"87",
"112"
] |
What is Chick-fil-A Supply?
|
query-test-14
|
[
198,
1229,
214,
209,
1124,
190,
192,
200,
194,
193,
211,
220,
42,
215,
191,
1221,
196,
208,
1415,
766,
1062,
883,
199,
671,
1122
] |
[
0.443359375,
0.383056640625,
0.3701171875,
0.36474609375,
0.3623046875,
0.3603515625,
0.350341796875,
0.34912109375,
0.34716796875,
0.34423828125,
0.342041015625,
0.338134765625,
0.337158203125,
0.33154296875,
0.324951171875,
0.321533203125,
0.31884765625,
0.31884765625,
0.31689453125,
0.315185546875,
0.3134765625,
0.311767578125,
0.310302734375,
0.31005859375,
0.3076171875
] |
[
"198"
] |
How did Chick fil A help people in need?
|
query-test-15
|
[
198,
194,
197,
274,
193,
196,
191,
717,
718,
195,
223,
1177,
72,
190,
513,
199,
719,
912,
716,
713,
171,
204,
515,
1042,
1100
] |
[
0.54931640625,
0.52001953125,
0.5087890625,
0.50634765625,
0.50634765625,
0.482421875,
0.47900390625,
0.47216796875,
0.470458984375,
0.468505859375,
0.44580078125,
0.443115234375,
0.4423828125,
0.437744140625,
0.427001953125,
0.42333984375,
0.4189453125,
0.41650390625,
0.415283203125,
0.4130859375,
0.408203125,
0.40576171875,
0.404541015625,
0.403564453125,
0.40283203125
] |
[
"194",
"198",
"193",
"195"
] |
What are the decomposition of Shake Shack's Scope 1 & 2 emissions?
|
query-test-16
|
[
1244,
1290,
1488,
1033,
295,
378,
52,
1102,
1448,
1125,
1242,
1145,
858,
1378,
1248,
469,
1379,
51,
1507,
1146,
1063,
871,
685,
254,
294
] |
[
0.57470703125,
0.49072265625,
0.47705078125,
0.472900390625,
0.46484375,
0.464599609375,
0.463134765625,
0.461181640625,
0.460693359375,
0.454345703125,
0.453125,
0.451171875,
0.451171875,
0.443115234375,
0.439453125,
0.438232421875,
0.43701171875,
0.435546875,
0.435302734375,
0.434814453125,
0.431884765625,
0.4296875,
0.429443359375,
0.42578125,
0.423095703125
] |
[
"1244"
] |
How many new Shake Shack restaurants opened between 2021 and 2022?
|
query-test-17
|
[
1261,
1244,
1206,
1228,
1198,
1268,
1200,
1492,
1238,
1194,
1253,
1217,
1207,
155,
1252,
900,
1201,
380,
1214,
433,
195,
1203,
1197,
1245,
992
] |
[
0.5830078125,
0.544921875,
0.53955078125,
0.5126953125,
0.50390625,
0.479736328125,
0.47802734375,
0.473876953125,
0.43994140625,
0.439453125,
0.42626953125,
0.41552734375,
0.40771484375,
0.396484375,
0.386962890625,
0.38427734375,
0.37939453125,
0.37939453125,
0.37841796875,
0.378173828125,
0.377685546875,
0.37548828125,
0.373291015625,
0.37158203125,
0.370849609375
] |
[
"1261"
] |
How is Restaurants brands international planning to reduce food loss?
|
query-test-18
|
[
1150,
1155,
1170,
382,
1300,
1171,
1497,
345,
675,
1295,
1289,
1299,
805,
576,
1191,
680,
1172,
1297,
205,
1188,
679,
1192,
240,
528,
775
] |
[
0.45654296875,
0.43798828125,
0.435791015625,
0.418701171875,
0.410888671875,
0.39306640625,
0.39208984375,
0.388671875,
0.387939453125,
0.385986328125,
0.384521484375,
0.384521484375,
0.382568359375,
0.37890625,
0.37548828125,
0.370849609375,
0.3681640625,
0.36669921875,
0.36376953125,
0.363037109375,
0.36181640625,
0.361572265625,
0.3603515625,
0.359619140625,
0.3583984375
] |
[
"1150",
"1177",
"1171"
] |
ORE meaning
|
query-test-19
|
[
403,
645,
377,
200,
409,
1398,
401,
1089,
201,
1408,
187,
828,
113,
1189,
930,
630,
235,
436,
1504,
2,
1267,
115,
1416,
1344,
1239
] |
[
0.348876953125,
0.268798828125,
0.253662109375,
0.2149658203125,
0.212890625,
0.189208984375,
0.185791015625,
0.177490234375,
0.1741943359375,
0.1634521484375,
0.1571044921875,
0.1541748046875,
0.1536865234375,
0.15283203125,
0.1524658203125,
0.1512451171875,
0.14990234375,
0.1494140625,
0.148681640625,
0.14794921875,
0.1473388671875,
0.1456298828125,
0.144287109375,
0.142578125,
0.1407470703125
] |
[
"403"
] |
Texas Restaurants stock holders message
|
query-test-20
|
[
201,
409,
246,
195,
1439,
19,
267,
1452,
204,
1438,
436,
274,
1419,
1431,
1109,
1426,
198,
196,
224,
197,
235,
194,
1420,
406,
1441
] |
[
0.39453125,
0.367431640625,
0.365478515625,
0.365234375,
0.346923828125,
0.341796875,
0.3408203125,
0.33837890625,
0.336181640625,
0.329833984375,
0.326171875,
0.325927734375,
0.32470703125,
0.324462890625,
0.32373046875,
0.322998046875,
0.31982421875,
0.3154296875,
0.314697265625,
0.31298828125,
0.312255859375,
0.310791015625,
0.3076171875,
0.300048828125,
0.298828125
] |
[
"1420"
] |
How is RBI planning to reduce meat emissions?
|
query-test-21
|
[
1148,
1193,
1171,
1469,
1146,
445,
454,
1295,
1155,
797,
243,
1222,
1489,
1125,
535,
576,
1287,
453,
800,
1172,
245,
798,
1147,
1233,
475
] |
[
0.456787109375,
0.398193359375,
0.38037109375,
0.378662109375,
0.36474609375,
0.36328125,
0.360107421875,
0.35888671875,
0.3583984375,
0.357177734375,
0.35546875,
0.352294921875,
0.35107421875,
0.349609375,
0.34375,
0.34130859375,
0.341064453125,
0.34033203125,
0.337158203125,
0.334228515625,
0.333740234375,
0.333740234375,
0.3330078125,
0.330078125,
0.326904296875
] |
[
"1148",
"1149"
] |
What is the enviornmental impact of the recycled cooking oil from Texas Restaurants?
|
query-test-22
|
[
1420,
18,
381,
1451,
199,
1246,
1249,
1414,
391,
1525,
269,
32,
244,
240,
201,
1431,
1426,
1289,
1251,
1418,
1419,
861,
1127,
1125,
16
] |
[
0.47021484375,
0.46728515625,
0.450927734375,
0.44775390625,
0.44091796875,
0.4140625,
0.39892578125,
0.38623046875,
0.374267578125,
0.369873046875,
0.369140625,
0.368896484375,
0.364990234375,
0.357666015625,
0.349609375,
0.348876953125,
0.336181640625,
0.335693359375,
0.33544921875,
0.3330078125,
0.3330078125,
0.33251953125,
0.3310546875,
0.3310546875,
0.329345703125
] |
[
"1451"
] |
What is the proportion of underrepresented groups in MacDonald's Senior Directors and above in 2022 in the US?
|
query-test-23
|
[
901,
897,
898,
895,
1366,
910,
854,
900,
899,
1338,
1367,
902,
904,
100,
856,
1493,
905,
992,
1365,
1096,
505,
903,
125,
1158,
256
] |
[
0.63720703125,
0.62255859375,
0.5966796875,
0.5419921875,
0.52294921875,
0.52197265625,
0.517578125,
0.513671875,
0.501953125,
0.494873046875,
0.4931640625,
0.471923828125,
0.462646484375,
0.455322265625,
0.453369140625,
0.451904296875,
0.451904296875,
0.446044921875,
0.443603515625,
0.443359375,
0.44287109375,
0.43896484375,
0.435546875,
0.42626953125,
0.423828125
] |
[
"901"
] |
What proportion of McDonald's employees were Hispanic in 2023?
|
query-test-24
|
[
900,
901,
904,
895,
1477,
902,
1121,
256,
1406,
259,
258,
899,
897,
898,
992,
991,
908,
903,
427,
905,
1158,
920,
909,
854,
906
] |
[
0.58935546875,
0.5654296875,
0.5380859375,
0.53759765625,
0.53662109375,
0.52978515625,
0.52587890625,
0.52197265625,
0.515625,
0.513671875,
0.51220703125,
0.505859375,
0.5029296875,
0.489990234375,
0.482421875,
0.480712890625,
0.47998046875,
0.478271484375,
0.47314453125,
0.466064453125,
0.465087890625,
0.46240234375,
0.460693359375,
0.45703125,
0.4541015625
] |
[
"901"
] |
How does Shake Shack handle data privacy?
|
query-test-25
|
[
1265,
1252,
1194,
1245,
1201,
1197,
1214,
1236,
1268,
1242,
1228,
1255,
1203,
1217,
1227,
1224,
1269,
1200,
1215,
1206,
1238,
1223,
1267,
1226,
749
] |
[
0.50244140625,
0.45556640625,
0.435791015625,
0.4111328125,
0.4052734375,
0.39697265625,
0.39453125,
0.382568359375,
0.3798828125,
0.376220703125,
0.37158203125,
0.3701171875,
0.36962890625,
0.364501953125,
0.3642578125,
0.357177734375,
0.356689453125,
0.3564453125,
0.35595703125,
0.35546875,
0.353759765625,
0.3525390625,
0.352294921875,
0.349365234375,
0.34912109375
] |
[
"1265"
] |
Which nonprofits did Campbell support?
|
query-test-26
|
[
71,
70,
72,
1425,
114,
67,
57,
34,
65,
62,
274,
717,
64,
66,
84,
223,
80,
1173,
61,
38,
90,
1043,
63,
1177,
48
] |
[
0.446533203125,
0.4150390625,
0.4052734375,
0.39794921875,
0.3837890625,
0.37353515625,
0.364013671875,
0.348388671875,
0.34619140625,
0.34423828125,
0.338134765625,
0.334228515625,
0.3330078125,
0.326904296875,
0.324462890625,
0.32177734375,
0.32080078125,
0.320556640625,
0.320068359375,
0.315673828125,
0.315673828125,
0.314453125,
0.3134765625,
0.311767578125,
0.3095703125
] |
[
"70"
] |
What is Chipotle's turnover rate?
|
query-test-27
|
[
226,
225,
235,
1406,
230,
231,
117,
208,
213,
246,
223,
270,
428,
274,
1438,
209,
224,
238,
266,
435,
267,
204,
552,
271,
256
] |
[
0.496337890625,
0.48193359375,
0.46923828125,
0.45751953125,
0.453857421875,
0.4453125,
0.439208984375,
0.436279296875,
0.434326171875,
0.432861328125,
0.423828125,
0.421630859375,
0.420654296875,
0.41943359375,
0.417236328125,
0.41357421875,
0.41162109375,
0.409423828125,
0.408203125,
0.406005859375,
0.403076171875,
0.400634765625,
0.400390625,
0.400390625,
0.39794921875
] |
[
"226"
] |
What are Boston Pizza's measures to protect minorities?
|
query-test-28
|
[
13,
1,
3,
7,
29,
23,
33,
28,
5,
24,
6,
16,
11,
27,
1173,
470,
30,
8,
31,
25,
735,
995,
1077,
4,
450
] |
[
0.476318359375,
0.470703125,
0.457763671875,
0.455322265625,
0.44384765625,
0.44287109375,
0.439208984375,
0.42138671875,
0.4208984375,
0.4189453125,
0.4072265625,
0.400634765625,
0.399169921875,
0.397705078125,
0.395751953125,
0.39306640625,
0.392333984375,
0.38916015625,
0.384033203125,
0.382568359375,
0.3818359375,
0.37939453125,
0.37841796875,
0.37353515625,
0.372314453125
] |
[
"13"
] |
What has MTY implemented to accommodate various dietary requirements?
|
query-test-29
|
[
940,
934,
947,
957,
953,
942,
950,
985,
929,
994,
963,
933,
972,
980,
941,
976,
944,
945,
1004,
998,
948,
938,
968,
949,
969
] |
[
0.58154296875,
0.5166015625,
0.470947265625,
0.468017578125,
0.46435546875,
0.4619140625,
0.4609375,
0.412353515625,
0.40869140625,
0.40283203125,
0.40087890625,
0.38720703125,
0.385986328125,
0.380615234375,
0.3798828125,
0.378173828125,
0.372802734375,
0.372802734375,
0.366943359375,
0.36572265625,
0.363037109375,
0.361572265625,
0.35791015625,
0.355712890625,
0.3544921875
] |
[
"940"
] |
How far is Chipotle from reaching its environmental objectives?
|
query-test-30
|
[
267,
208,
235,
270,
246,
266,
247,
265,
204,
213,
209,
271,
274,
269,
220,
261,
556,
205,
1251,
231,
257,
219,
230,
233,
1482
] |
[
0.50537109375,
0.484130859375,
0.47216796875,
0.470703125,
0.468994140625,
0.46826171875,
0.45947265625,
0.458251953125,
0.45751953125,
0.457275390625,
0.449951171875,
0.448974609375,
0.443115234375,
0.43408203125,
0.43408203125,
0.432861328125,
0.430908203125,
0.430908203125,
0.43017578125,
0.4267578125,
0.42431640625,
0.421630859375,
0.420166015625,
0.415771484375,
0.41552734375
] |
[
"245",
"203",
"205",
"247",
"243",
"249",
"240",
"254",
"250",
"241",
"255"
] |
How many shops does Starbucks have?
|
query-test-31
|
[
1350,
1354,
471,
1351,
725,
1398,
1356,
1453,
1362,
1072,
974,
1376,
1074,
1343,
1504,
1058,
521,
1166,
1336,
1353,
1345,
1340,
1360,
726,
1401
] |
[
0.437744140625,
0.406005859375,
0.39794921875,
0.391845703125,
0.389404296875,
0.377197265625,
0.371337890625,
0.37109375,
0.369384765625,
0.358642578125,
0.35693359375,
0.355712890625,
0.35498046875,
0.353759765625,
0.348876953125,
0.34814453125,
0.347412109375,
0.34716796875,
0.345947265625,
0.345458984375,
0.34375,
0.341796875,
0.340087890625,
0.33349609375,
0.332763671875
] |
[
"1354",
"1350"
] |
What are McDonald's Franchisees?
|
query-test-32
|
[
928,
903,
895,
925,
904,
907,
1483,
511,
896,
910,
705,
979,
919,
906,
926,
1481,
706,
921,
725,
927,
894,
909,
885,
856,
893
] |
[
0.51513671875,
0.477783203125,
0.4501953125,
0.449462890625,
0.445068359375,
0.43896484375,
0.43603515625,
0.432373046875,
0.427734375,
0.413330078125,
0.41259765625,
0.409912109375,
0.40380859375,
0.402587890625,
0.4013671875,
0.396484375,
0.391357421875,
0.386474609375,
0.385986328125,
0.384033203125,
0.3837890625,
0.377685546875,
0.373291015625,
0.37060546875,
0.36474609375
] |
[
"928"
] |
Which Wendy's objectives seem the most complicated to achieve?
|
query-test-33
|
[
1482,
1514,
1481,
1492,
1488,
1486,
1490,
1475,
1471,
1469,
205,
1170,
1494,
1477,
1476,
1513,
1463,
1483,
1487,
1489,
1496,
1480,
566,
1460,
1485
] |
[
0.4931640625,
0.4189453125,
0.399169921875,
0.39794921875,
0.395263671875,
0.393798828125,
0.3935546875,
0.388916015625,
0.3818359375,
0.37158203125,
0.364501953125,
0.36328125,
0.362548828125,
0.3623046875,
0.3583984375,
0.34228515625,
0.337890625,
0.33349609375,
0.333251953125,
0.33251953125,
0.331787109375,
0.33154296875,
0.330322265625,
0.329833984375,
0.32958984375
] |
[
"1493"
] |
What was the impact of RBI charity campaigns?
|
query-test-34
|
[
1177,
1161,
917,
463,
1045,
1155,
223,
1535,
716,
515,
1173,
1109,
114,
915,
733,
274,
1534,
1310,
32,
732,
1159,
455,
1314,
1100,
1484
] |
[
0.38330078125,
0.3720703125,
0.36572265625,
0.354248046875,
0.3515625,
0.34716796875,
0.341552734375,
0.338623046875,
0.334716796875,
0.333251953125,
0.331298828125,
0.330078125,
0.3251953125,
0.323974609375,
0.318359375,
0.3173828125,
0.31689453125,
0.315673828125,
0.313232421875,
0.3115234375,
0.31103515625,
0.30908203125,
0.30224609375,
0.29736328125,
0.296875
] |
[
"1162",
"1161",
"1177",
"1163"
] |
How did wages evolve between 2023 and 2021 at Cracker Barrel?
|
query-test-35
|
[
428,
427,
1121,
435,
256,
429,
902,
423,
432,
424,
1399,
1364,
425,
1096,
563,
438,
433,
437,
418,
417,
415,
412,
258,
259,
1406
] |
[
0.469482421875,
0.4482421875,
0.4208984375,
0.407470703125,
0.406494140625,
0.3828125,
0.3818359375,
0.37646484375,
0.375,
0.36669921875,
0.36376953125,
0.363037109375,
0.357177734375,
0.35595703125,
0.343017578125,
0.3427734375,
0.341064453125,
0.33740234375,
0.334716796875,
0.3330078125,
0.33154296875,
0.329345703125,
0.327880859375,
0.325927734375,
0.324951171875
] |
[
"428",
"435"
] |
Who is responsible for ESG policy at Cracker Barrel?
|
query-test-36
|
[
442,
410,
438,
421,
425,
411,
1409,
437,
742,
1057,
440,
1106,
1059,
153,
1168,
1073,
1091,
412,
439,
74,
415,
1074,
1516,
430,
728
] |
[
0.56884765625,
0.461181640625,
0.448974609375,
0.442626953125,
0.4326171875,
0.428466796875,
0.426513671875,
0.425048828125,
0.421142578125,
0.420654296875,
0.41943359375,
0.4111328125,
0.408447265625,
0.395751953125,
0.39453125,
0.392333984375,
0.392333984375,
0.3896484375,
0.387939453125,
0.383056640625,
0.380859375,
0.378662109375,
0.375244140625,
0.375,
0.371826171875
] |
[
"439"
] |
What are Panera Bread environmental objectives?
|
query-test-37
|
[
1091,
1028,
1016,
1038,
1030,
1077,
1017,
1025,
1014,
1020,
1069,
1076,
1047,
1036,
1029,
1088,
1087,
1090,
1061,
1037,
1019,
1035,
1027,
1059,
1021
] |
[
0.5322265625,
0.52587890625,
0.50927734375,
0.50439453125,
0.50048828125,
0.4951171875,
0.489990234375,
0.489990234375,
0.484619140625,
0.483154296875,
0.481201171875,
0.47314453125,
0.4716796875,
0.467041015625,
0.46240234375,
0.456787109375,
0.455078125,
0.453125,
0.447021484375,
0.443359375,
0.4423828125,
0.441650390625,
0.44140625,
0.439453125,
0.439208984375
] |
[
"1038",
"1030",
"1091",
"1029",
"1016",
"1022",
"1017",
"1031",
"1032",
"1034",
"1037",
"1028"
] |
Which companies are owned by French Food Capital?
|
query-test-38
|
[
591,
538,
549,
527,
581,
590,
536,
562,
551,
577,
542,
528,
573,
560,
546,
531,
545,
556,
592,
570,
571,
287,
553,
582,
526
] |
[
0.53466796875,
0.5078125,
0.48828125,
0.468017578125,
0.436279296875,
0.43212890625,
0.422607421875,
0.414306640625,
0.407470703125,
0.39892578125,
0.38427734375,
0.377197265625,
0.376953125,
0.376708984375,
0.365966796875,
0.354248046875,
0.353271484375,
0.35302734375,
0.3515625,
0.34716796875,
0.346923828125,
0.346923828125,
0.34521484375,
0.343017578125,
0.339599609375
] |
[
"590"
] |
What are the major ESG financial initiatives for French Capital Food in 2024?
|
query-test-39
|
[
551,
581,
536,
577,
573,
556,
542,
527,
531,
567,
562,
549,
538,
582,
526,
564,
578,
528,
591,
560,
344,
550,
571,
537,
382
] |
[
0.54931640625,
0.5224609375,
0.51416015625,
0.50439453125,
0.5009765625,
0.485595703125,
0.480224609375,
0.480224609375,
0.463134765625,
0.459228515625,
0.455078125,
0.436767578125,
0.43212890625,
0.427734375,
0.41943359375,
0.4189453125,
0.41064453125,
0.409423828125,
0.404052734375,
0.40283203125,
0.39794921875,
0.393798828125,
0.393798828125,
0.3818359375,
0.37939453125
] |
[
"574",
"564",
"551",
"542",
"581",
"553",
"556"
] |
How much did Panera Bread give to charity?
|
query-test-40
|
[
1043,
1040,
1038,
1042,
1041,
1016,
1077,
1045,
274,
1076,
1091,
223,
515,
1087,
1044,
1017,
1074,
1036,
1025,
1425,
1027,
1011,
1090,
732,
1049
] |
[
0.515625,
0.491943359375,
0.455810546875,
0.453369140625,
0.452392578125,
0.446044921875,
0.4423828125,
0.442138671875,
0.437744140625,
0.433349609375,
0.432373046875,
0.42041015625,
0.420166015625,
0.412109375,
0.412109375,
0.411865234375,
0.41162109375,
0.407958984375,
0.40771484375,
0.4052734375,
0.405029296875,
0.404541015625,
0.402587890625,
0.400146484375,
0.3974609375
] |
[
"1038",
"1043",
"1045",
"1042",
"1041"
] |
How many locations does Chipotle have?
|
query-test-41
|
[
224,
235,
274,
213,
1453,
246,
204,
265,
201,
1136,
230,
208,
1504,
974,
220,
223,
209,
261,
211,
554,
231,
271,
272,
267,
270
] |
[
0.53662109375,
0.53271484375,
0.467529296875,
0.450439453125,
0.446533203125,
0.4453125,
0.444580078125,
0.43994140625,
0.43310546875,
0.431884765625,
0.42333984375,
0.419189453125,
0.4130859375,
0.412841796875,
0.412109375,
0.410888671875,
0.41064453125,
0.4091796875,
0.405517578125,
0.405029296875,
0.403076171875,
0.3974609375,
0.3935546875,
0.392578125,
0.391845703125
] |
[
"235",
"224"
] |
Is the number of incidents decreasing at City Pub Group?
|
query-test-42
|
[
313,
308,
318,
315,
284,
275,
287,
316,
320,
301,
317,
294,
306,
302,
285,
311,
286,
277,
283,
288,
291,
276,
310,
299,
0
] |
[
0.50537109375,
0.42626953125,
0.42578125,
0.4169921875,
0.41650390625,
0.407470703125,
0.400146484375,
0.386962890625,
0.382080078125,
0.376953125,
0.37255859375,
0.3681640625,
0.36328125,
0.356201171875,
0.351318359375,
0.349365234375,
0.349365234375,
0.346923828125,
0.341064453125,
0.335693359375,
0.333984375,
0.332763671875,
0.330810546875,
0.327392578125,
0.32568359375
] |
[
"313"
] |
What is Loungers' plan for aligning with the UN Sustainable Development Goals?
|
query-test-43
|
[
780,
779,
781,
774,
778,
772,
762,
773,
767,
495,
770,
784,
782,
769,
777,
761,
783,
528,
771,
775,
1529,
785,
1287,
768,
776
] |
[
0.5068359375,
0.497314453125,
0.474365234375,
0.453125,
0.445556640625,
0.439208984375,
0.43505859375,
0.4326171875,
0.420166015625,
0.418701171875,
0.41796875,
0.4169921875,
0.416259765625,
0.4130859375,
0.412109375,
0.40869140625,
0.40283203125,
0.398193359375,
0.396240234375,
0.391845703125,
0.39111328125,
0.38525390625,
0.380859375,
0.37451171875,
0.37060546875
] |
[
"781"
] |
What is MTY trash reduction strategy?
|
query-test-44
|
[
957,
953,
955,
959,
947,
940,
948,
934,
968,
983,
88,
963,
942,
958,
954,
1246,
976,
933,
985,
966,
939,
1000,
967,
972,
944
] |
[
0.474365234375,
0.472900390625,
0.44970703125,
0.41162109375,
0.39697265625,
0.39306640625,
0.375732421875,
0.365234375,
0.3544921875,
0.350341796875,
0.348388671875,
0.343994140625,
0.33935546875,
0.33154296875,
0.330810546875,
0.32958984375,
0.328369140625,
0.328125,
0.323974609375,
0.322509765625,
0.319580078125,
0.318115234375,
0.3173828125,
0.31494140625,
0.3125
] |
[
"956",
"958",
"957",
"955"
] |
Does Collins Foods have workplace violence issues?
|
query-test-45
|
[
361,
351,
327,
352,
365,
326,
402,
350,
380,
574,
325,
552,
568,
388,
587,
354,
356,
360,
408,
324,
543,
563,
537,
583,
104
] |
[
0.460205078125,
0.435546875,
0.433837890625,
0.433349609375,
0.43212890625,
0.429443359375,
0.40625,
0.399169921875,
0.398681640625,
0.39453125,
0.39453125,
0.38623046875,
0.3857421875,
0.38330078125,
0.381591796875,
0.3779296875,
0.376708984375,
0.37353515625,
0.37353515625,
0.37109375,
0.370849609375,
0.3681640625,
0.3671875,
0.3662109375,
0.3642578125
] |
[
"362",
"354",
"360",
"365",
"361"
] |
Does SSP propose cow milk substitutes?
|
query-test-46
|
[
1227,
216,
83,
1468,
1101,
889,
45,
1331,
479,
1284,
1245,
265,
207,
1021,
42,
36,
165,
1277,
997,
273,
267,
161,
112,
1276,
871
] |
[
0.33447265625,
0.323974609375,
0.31591796875,
0.306884765625,
0.298583984375,
0.291259765625,
0.287353515625,
0.28662109375,
0.283203125,
0.28271484375,
0.2802734375,
0.27734375,
0.277099609375,
0.2763671875,
0.27490234375,
0.2734375,
0.272705078125,
0.271728515625,
0.27099609375,
0.268798828125,
0.266357421875,
0.266357421875,
0.266357421875,
0.266357421875,
0.265625
] |
[
"1280",
"1278"
] |
Shake Shack steak resolutions
|
query-test-47
|
[
1194,
1267,
19,
1268,
1240,
1236,
201,
1238,
1246,
1116,
1206,
1245,
1203,
1455,
1223,
1252,
1235,
1226,
1214,
1217,
1231,
1227,
1255,
1201,
1209
] |
[
0.480712890625,
0.4423828125,
0.4208984375,
0.4072265625,
0.3759765625,
0.367431640625,
0.363525390625,
0.358642578125,
0.3544921875,
0.3505859375,
0.349853515625,
0.34912109375,
0.347900390625,
0.338134765625,
0.338134765625,
0.33349609375,
0.330810546875,
0.328369140625,
0.326171875,
0.32421875,
0.323974609375,
0.322998046875,
0.3203125,
0.317626953125,
0.310546875
] |
[
"1233",
"1232",
"1225",
"1226",
"1222"
] |
Hello Fresh Data security measures
|
query-test-48
|
[
611,
628,
629,
201,
650,
593,
626,
651,
605,
1418,
1101,
623,
610,
1123,
638,
365,
634,
1061,
595,
37,
653,
104,
1457,
1074,
490
] |
[
0.423583984375,
0.34521484375,
0.330322265625,
0.325439453125,
0.315185546875,
0.31298828125,
0.310791015625,
0.307373046875,
0.305908203125,
0.296875,
0.296630859375,
0.296142578125,
0.29443359375,
0.2939453125,
0.293701171875,
0.2919921875,
0.289794921875,
0.28955078125,
0.289306640625,
0.2890625,
0.287841796875,
0.28759765625,
0.285888671875,
0.284423828125,
0.279052734375
] |
[
"628",
"629"
] |
Which States didn't have a Dunkin by 2020?
|
query-test-49
|
[
493,
499,
656,
496,
689,
524,
487,
488,
479,
521,
476,
478,
702,
513,
492,
518,
1261,
680,
672,
520,
679,
482,
503,
1090,
505
] |
[
0.468505859375,
0.355712890625,
0.346435546875,
0.343994140625,
0.333251953125,
0.33056640625,
0.321044921875,
0.317626953125,
0.31689453125,
0.316650390625,
0.314208984375,
0.31201171875,
0.31103515625,
0.309326171875,
0.302490234375,
0.30224609375,
0.299560546875,
0.29638671875,
0.2958984375,
0.295166015625,
0.290771484375,
0.28662109375,
0.282958984375,
0.2822265625,
0.280517578125
] |
[
"493"
] |
MTY group turnover
|
query-test-50
|
[
985,
974,
929,
998,
953,
967,
996,
981,
1004,
963,
1000,
590,
634,
973,
942,
591,
957,
960,
969,
284,
994,
976,
1002,
947,
834
] |
[
0.37255859375,
0.36083984375,
0.359619140625,
0.323974609375,
0.3212890625,
0.306640625,
0.30322265625,
0.30029296875,
0.298583984375,
0.2978515625,
0.29541015625,
0.294189453125,
0.2939453125,
0.292236328125,
0.283935546875,
0.2802734375,
0.280029296875,
0.280029296875,
0.279052734375,
0.2783203125,
0.27587890625,
0.271484375,
0.271484375,
0.269287109375,
0.2666015625
] |
[
"973",
"995"
] |
What is Starbucks military integration policy?
|
query-test-51
|
[
1392,
1355,
1401,
1367,
1364,
1351,
1400,
1360,
1338,
1399,
1381,
1354,
1353,
695,
1350,
1390,
1398,
1358,
1376,
1387,
1365,
1356,
1336,
1348,
1359
] |
[
0.400634765625,
0.398193359375,
0.3955078125,
0.38525390625,
0.38427734375,
0.380615234375,
0.379150390625,
0.3779296875,
0.36865234375,
0.360595703125,
0.358154296875,
0.348388671875,
0.3388671875,
0.337646484375,
0.336669921875,
0.328857421875,
0.326904296875,
0.320068359375,
0.31982421875,
0.317626953125,
0.3154296875,
0.313720703125,
0.31298828125,
0.3125,
0.30908203125
] |
[
"1351",
"1367",
"1374"
] |
Dataset Card for Vidore Reranker Benchmark : vidore_benchmark_2_esg_reports_human_labeled_v2_reranker_adapted
Dataset Summary
This dataset provides a reranking benchmark based on the VIDORE V2 benchmark, designed to evaluate reranker models in a multimodal retrieval context. The dataset includes a corpus of image data, a set of natural language queries, and the top 25 retrievals (images) returned by a mid-performance multimodal retriever. This setup simulates a realistic retrieval environment where the reranker must learn to surface relevant items that may not already be ranked highly.
Complete benchmark dataset list
The benchmark is composed of those datasets :
- UlrickBL/vidore_benchmark_economics_reports_v2_reranker_adapted (linked to vidore/economics_reports_v2 corpus)
- UlrickBL/vidore_benchmark_docvqa_reranker_adapted (linked to vidore/docvqa_test_subsampled corpus)
- UlrickBL/vidore_benchmark_2_biomedical_lectures_v2_reranker_adapted (linked to vidore/biomedical_lectures_v2 corpus)
- UlrickBL/vidore_benchmark_2_esg_reports_human_labeled_v2_reranker_adapted (linked to vidore/esg_reports_human_labeled_v2 corpus)
- UlrickBL/vidore_benchmark_2_esg_reports_v2_reranker_adapted (linked to vidore/esg_reports_v2 corpus)
Dataset Motivation
The purpose of this benchmark is to:
Evaluate rerankers independently of retriever performance by fixing the retriever outputs.
Focus on the effectiveness of rerankers in identifying relevant samples from mid-quality retrieval sets.
Provide detailed statistics on the retrieval and relevance structure to better understand model behavior.
By using a retriever with known mid-level performance on the VIDORE v1 leaderboard, this benchmark offers a challenging but meaningful setting to test reranking capabilities.
The retriever used is : Alibaba-NLP/gme-Qwen2-VL-2B-Instruct (top 23 - 87.8 accuracy)
Dataset Structure
Each sample in the dataset is associated with:
query : text query
query_id : corresponding query id of the original dataset
top_25_image_filenames : ordered list of retrieved image by the retriever
top_25_scores : corresponding list with the scores of the top 25 images
relevant_image_filenames : list of the true labels / relevant images of the original dataset
How the Dataset Was Constructed
Retriever Used: A multimodal retriever Alibaba-NLP/gme-Qwen2-VL-2B-Instruct
The retriever was used to embed the full corpus of images of the associated dataset (vidore/esg_reports_human_labeled_v2).
For each query, the retriever computed similarity and returned the top 25 most similar corpus images.
These 25 candidates were labeled using the ground-truth relevance annotations from VIDORE v2.
Only retrieved items are considered during evaluation — non-retrieved relevant samples are ignored to focus on reranking.
Dataset Statistics
Here are some key dataset statistics:
| Metric | Value |
|---|---|
| Number of queries | 52 |
| Corpus size | 1540 |
| Average # relevant images per query | 2.46 |
| Average # retrieved relevant images in top 25 | 1.73 |
| % of queries with at least one relevant retrieved | 91.25% |
| Avg. position of first relevant image | 3.53 |
| Avg. position of last relevant image | 6.82 |
| NGCD@5 (Normalized Gain Cumulative Discounted at 5) | 0.6424 |
Use this dataset
To use this dataset, you can create pairs of queries and images by linking a query and an image from the corpus of the top 25 list and score it with your model to rerank the top 25 list.
- Downloads last month
- 61
Size of downloaded dataset files:
15.6 kB
Size of the auto-converted Parquet files:
15.6 kB
Number of rows:
52