query_id
int64
18
8,581B
session_id
stringlengths
44
44
prefixes
sequencelengths
1
522
first_prefix_typed_time
stringlengths
19
23
final_search_term
stringlengths
1
236
search_time
stringlengths
19
19
popularity
int64
1
180k
3,865,470,897,270
VQ//2EfBXkMHTVUzZVBtrwJx7ldEfG2GK0z6nf+X9KE=
[ "stainless steel water bottle squish", "stainless steel water bottle squis", "stainless steel water bottle squi", "stainless steel water bottle squ", "stainless steel water bottle s", "stainless steel water bottle", "stainless steel water bott", "stainless steel water bot", "stainless steel water bo", "stainless steel water b", "stainless steel water", "stainless steel wate", "stainless steel wat", "stainless steel wa", "stainless steel ", "stainless steel t", "stainless steel tu", "stainless steel tum", "stainless steel tumb", "stainless steel tumbl", "stainless steel tumble", "stainless steel tumbler", "stainless steel tumbler ", "stainless steel tumbler s", "stainless steel tumbler sp", "stainless steel tumbler spi", "stainless steel tumbler spil", "stainless steel tumbler spill", "stainless steel tumbler spill ", "stainless steel tumbler spill p", "stainless steel tumbler spill pr", "stainless steel tumbler spill pro", "stainless steel tumbler spill proo", "stainless steel tumbler spill proof" ]
2023-09-09 21:50:34.777
stainless steel tumbler spill proof
2023-09-09 21:50:50
4
3,865,470,779,124
Ph5R+n8/9m21rl1PaRwNFtPPQavVNhBlFC+AA0ItlF8=
[ "a", "aq", "aqu", "aqua", "aquaa", "aqua", "aquar", "aquari", "aquariu", "aquarium", "aquarium ", "aquarium k", "aquarium ki", "aquarium kit", "aquarium kits", "aquarium kits " ]
2023-09-07 00:46:47.869
aquarium kits
2023-09-07 00:46:53
28
3,865,470,773,786
GAYZA/P1d08rk1yCL8aGnMMbc/mG7sKQgBubKpKG4U8=
[ "s", "sh", "sha", "shap", "shape" ]
2023-09-07 21:50:25.936
shapewear for women tummy control
2023-09-07 21:50:33
14,132
3,865,470,647,748
/C+wRA7/6SxapQgINmT/+lzwcnJ9q5vJBQwQd7lSsfI=
[ "u", "ut", "ute", "utebs", "uteb", "utebsil", "utebsi", "utebsil o", "utebsil or", "utebsil org" ]
2023-09-10 23:17:15.064
utensil organizer for kitchen drawers
2023-09-10 23:17:20
3,856
3,865,470,932,544
pXKtsA58Xhet1s+ofO7Zbzt8tHMd0al26kk8VRDaLYg=
[ "g", "gl", "glo", "glob", "globo", "globos", "globos n", "globos ne", "globos neg", "globos negr", "globos negri", "globos negr", "globos negro", "globos negros" ]
2023-09-16 03:05:41.085
globos negros
2023-09-16 03:05:48
137
3,865,470,682,693
jgGy8bvOqgkroIkSI0dCJ1x+Mzrq8UL4XQWcfTbg7eM=
[ "routers for wireless internet", "w", "wo", "won", "wond", "wonde", "wonder", "wonder ", "wonder w", "wonder wo", "wonder wom", "wonder woma", "wonder woman", "wonder woman ", "wonder woman s", "wonder woman sh", "wonder woman shu", "wonder woman shur", "wonder woman shu", "wonder woman sh", "wonder woman s", "wonder woman ", "wonder woman t", "wonder woman ts", "wonder woman tsh" ]
2023-09-17 17:47:47.083
wonder woman tshirt women
2023-09-17 17:48:01
42
3,865,470,673,559
KaGzjoOqB+2LmTOMaqTMF2FAqbf1lap4NZLFzg5Aikw=
[ "b", "bl", "blu", "blue", "bluey", "bluey b" ]
2023-09-02 01:33:07.152
bluey birthday party supplies
2023-09-02 01:33:26
4,444
3,865,470,945,244
DfWqzPS7nT4ZCCE5q0MtV6K6inDEf1UnNsRD5E8X0m8=
[ "sk", "s", "skyl", "sky", "skyll", "skyl", "sky", "sk", "sku", "skul", "skull", "skullc", "skullca", "skullcan", "skullcand", "skullcandy", "skullcandy c", "skullcandy cr", "skullcandy cru", "skullcandy crus", "skullcandy crush", "skullcandy crusher", "skullcandy crushe", "skullcandy crusher a", "skullcandy crusher an", "skullcandy crusher anc", "skullcandy crusher anc 2" ]
2023-09-04 18:08:20.023
skullcandy crusher anc 2
2023-09-04 18:08:29
382
3,865,470,921,427
2VB+acUw/EjwQytaXZ1U3QFAjGbPEBk9v01WXkWuBJM=
[ "nail jewels for nail ar", "nail jewels for nail art", "nail jewels for nail", "nail jewels for nail a", "nail jewels for nai", "nail jewels for na", "nail jewels for n", "nail jewels for", "nail jewels for k", "nail jewels for ki", "nail jewels for kid", "nail jewels for kids" ]
2023-09-10 01:07:02.515
nail jewels for kids
2023-09-10 01:07:12
5
3,865,470,737,020
M5GotpfEcnz0yPVVMoz8MZCV7z2S1cpol4Yiq8pF9Hg=
[ "decorative throw pillows", "decorative throw pillows ", "decorative throw pillows b", "decorative throw pillows bl", "decorative throw pillows blu", "decorative throw pillows blue" ]
2023-09-30 17:36:51.237
decorative throw pillows blue
2023-09-30 17:36:57
4
3,865,470,724,637
MhX7mcoiBDcVFS95cp26eB4gW/yGrs2N43hKuAoFncU=
[ "w", "wr", "wri", "wrin", "wrink", "wrinkl", "wrinkle", "wrinkle p", "wrinkle pa", "wrinkle pas" ]
2023-09-05 15:47:41.866
wrinkle paste for french bulldogs
2023-09-05 15:47:48
78
3,865,470,581,372
dc13nphO2ynLQ6XCU1XR9IaRmaZWx9yox7dHugcHaYA=
[ "s", "si", "sit", "situ", "situp" ]
2023-09-28 16:19:52.872
sit up bench
2023-09-28 16:19:58
488
3,865,470,938,701
nOF5+bMnEQqZIVexGafjlI2ihEJy07ONiYB4ovYWVLY=
[ "g", "gr", "gro", "gr", "gra", "grac", "graco", "graco e", "graco ex", "graco ext", "graco exte", "graco exten", "graco extend", "graco extend2", "graco extend2f", "graco extend2fi", "graco extend2fit" ]
2023-09-08 15:29:17.399
graco extend2fit
2023-09-08 15:29:27
540
3,865,470,662,103
UKYml0/4IqOnZ4NCus/09Dx08WKCwI6vw619WkMaSu8=
[ "c", "ce", "cel", "cell", "cell ", "cell p", "cell ph", "cell pho", "cell phon", "cell phone" ]
2023-09-02 00:07:27.589
cell phone
2023-09-02 00:07:37
4,653
3,865,470,945,243
p0NM1/xcxyLKUV8pnHyfTC931AiKNbkGNEglz+aI9ok=
[ "b", "be", "bet", "bett", "bette", "better", "better b", "better br", "better bre", "better brea", "better bread", "better breade", "better breader" ]
2023-09-03 11:39:54.386
better breader shaker bowl
2023-09-03 11:40:08
598
3,865,470,691,242
bvYncYEYWzILQK74/PLEap7YIQJ7O2/DOm1vOxKprxY=
[ "pc mon", "pc mon" ]
2023-09-03 05:07:48.427
pc monitor 27 inch
2023-09-03 17:35:44
235
3,865,470,710,810
4lq0aRZUAVFqKuDj+32+QG+BCqxZ1KspPbCoSjSFx7k=
[ "a", "am", "ama", "amaz", "amazo", "amazon" ]
2023-09-21 11:01:34.982
amazon fire tv
2023-09-21 11:01:40
5,274
3,865,470,694,183
bzrNBNAXLJq+Jih8cnAO3Y2X7vLD+KS/A2hotgdehNI=
[ "nmo mag mount", "nnmo mag mount", "nanmo mag mount", "nagnmo mag mount", "nagonmo mag mount", "nagoynmo mag mount", "nagoyanmo mag mount", "nagoya nmo mag mount" ]
2023-09-23 11:46:52.736
nagoya nmo mag mount
2023-09-23 11:47:02
3
3,865,470,653,069
W8I2Fe5zoPEzVah6dFYuz8kdbOXeyoE3iuTZSa/3Vko=
[ "u", "un", "uni", "unic", "unico", "unicor", "unicorn", "unicorn ", "unicorn s", "unicorn se", "unicorn sec" ]
2023-09-22 15:00:02.428
unicorn security shirt
2023-09-22 15:00:09
58
3,865,470,738,604
fbTyZkOQ3vcL8UnriqtlMJAgLAwrYnOHeY8W+UVLVCg=
[ "letras para los trastes de una guitarra", "letras para los trastes de una guitarra", "letras para los trastes de una guitarr", "letras para los trastes de una guitar", "letras para los trastes de una guita", "letras para los trastes de una guit", "letras para los trastes de una gui", "letras para los trastes de una gu", "letras para los trastes de una g", "letras para los trastes de una", "letras para los trastes de un", "letras para los trastes de u", "letras para los trastes de", "letras para los trastes d", "letras para los trastes", "letras para los traste", "letras para los trast", "letras para los tras", "letras para los tra", "letras para los tr", "letras para los t", "letras para los", "letras para lo", "letras para l", "letras para", "letras par", "letras pa", "letras p", "letras" ]
2023-09-04 01:47:51.047
letras
2023-09-04 01:48:20
80
3,865,470,884,470
0cAQJiTLcWhX1ViFHcKX4IK+EpQuQs/qs25p9qoqZ+w=
[ "c", "ca", "can", "can ", "can o", "can op", "can ope", "can open", "can opene", "can openee", "can openeer", "can openee", "can opene", "can opener" ]
2023-09-05 03:18:10.492
can opener
2023-09-05 03:18:14
25,601
3,865,470,919,863
sZrI4o7NFDY8LFWSvEHVjya6aOgsifvUQFElv4CfheI=
[ "s", "su", "sum", "summ", "summe", "summer", "summer b", "summer bo", "summer boo", "summer boot", "summer booti", "summer booties" ]
2023-09-01 04:07:12.794
summer booties
2023-09-01 04:07:19
19
3,865,470,868,266
KMLUITxrYcjmuglDwgLCrxWZVzkIteCUNsCfa69158I=
[ "s", "show", "sh", "showe", "shower", "sho", "shower", "shower o" ]
2023-09-08 03:29:49.025
shower organizer hanging
2023-09-08 03:30:11
1,289
3,865,470,882,874
3+c8HqkjeOdMz/wu+o1ou92n0ixGPdPYpoBSADzDdyw=
[ "w", "wh", "whe", "wher", "where", "where v", "where vi", "where vio", "where viol", "where viole", "where violet", "where violets", "where violets b", "where violets bl", "where violets blo", "where violets bloo", "where violets bloom" ]
2023-09-16 06:13:43.785
where violets bloom
2023-09-16 06:13:53
5
3,865,470,653,226
Bv9qVhkrWDy9N1PNUFmOn8WuoQy40nrB2zK5L9H5Ykk=
[ "g", "gr", "gra", "grac", "grace", "grace ", "grace b", "grace br", "grace bry", "grace bryw", "grace brywr", "grace brywrs", "grace brywr", "grace bryw", "grace bry", "grace brye", "grace bryer", "grace bryers" ]
2023-09-11 21:51:40.229
grace byers children books
2023-09-11 21:51:47
4
3,865,470,756,549
IsComv/dUUE0VfHHFbDbsOQZRs2Irkphtvjt3QvPccQ=
[ "t", "to", "too", "toot", "tooth", "toothb", "toothbr", "toothbru", "toothbrus", "toothbrush", "toothbrush " ]
2023-09-28 18:31:05.712
toothbrush covers
2023-09-28 18:31:16
5,306
3,865,470,801,012
SNb/moXN9FAnkMwnuFC6u/R+dBGk4pVuypvbMeysOiE=
[ "h" ]
2023-09-27 21:17:23.361
hello kitty
2023-09-27 21:17:28
33,606
3,865,470,757,059
VM/tfAtMJl49bWPVKw0r2S3HMhomGdUI+vHwmM8/m8I=
[ "marie antoinette party decorations", "marie antoinette party decoration", "marie antoinette party decoratio", "marie antoinette party decorati", "marie antoinette party decorat", "marie antoinette party decora", "marie antoinette party decor", "marie antoinette party deco", "marie antoinette party dec", "marie antoinette party dec", "marie antoinette party de", "marie antoinette party d", "marie antoinette party " ]
2023-09-13 01:31:56.843
marie antoinette theme party
2023-09-13 01:32:04
4
3,865,470,918,982
IBnd58zlrU3jpBWcosNh4c9UwcTPxxCjoi17VPKpfNA=
[ "a", "am" ]
2023-09-01 10:43:00.748
amazon essentials womens clothing
2023-09-01 10:43:04
5,525
3,865,470,633,866
dqAp6jfs4Jfl/FVEomj0Iq1pvO+Z2OuXKs8qMaPQFAw=
[ "long", "long ", "long t", "long ty", "long type", "long type " ]
2023-09-08 08:14:59.536
long type c charger
2023-09-08 08:15:06
32
3,865,470,576,420
FSkm4vtU5ch2BJKqHgT5CVOah/vLW6VV4Y9LQHd0U4s=
[ "b", "ba", "bas", "bass", "bass ", "bass c", "bass cr", "bass cre", "bass cree", "bass creek", "bass creek ", "bass creek o", "bass creek ou", "bass creek out", "bass creek outf", "bass creek outfi", "bass creek outfit", "bass creek outfitt", "bass creek outfitte", "bass creek outfitter", "bass creek outfitters" ]
2023-09-21 12:43:24.043
bass creek outfitters hoodie
2023-09-21 12:43:45
4
3,865,470,885,367
AlNwPmaXw/3MOJVkZCG1besIlGPIYXyh0edOXyAEfqM=
[ "small stainless steel shelf", "small stainless steel shel", "small stainless steel she", "small stainless steel sh", "small stainless steel s", "small stainless steel ", "small stainless steel s", "small stainless steel sh", "small stainless steel sho", "small stainless steel shoe" ]
2023-09-15 23:48:51.758
small stainless steel shoe rack
2023-09-15 23:49:01
3
3,865,470,637,054
QiB04s5LySJNvz7PNQFdwpzInYAOzQDGyTvFylac9/s=
[ "b", "bu", "bu", "bus", "busi", "busi", "busin", "busin", "busine", "busine", "busines", "busines", "business", "business ", "business c", "business ca", "business cas", "business cas" ]
2023-09-17 14:31:18.092
business casual shoes men
2023-09-17 14:31:24
376
3,865,470,670,183
psEKP5yuk63PmM9JGS7uoLNd4ExJ6EBXCXtPFbWKEcI=
[ "i", "ip", "iph", "ipho", "iphon", "iphone", "iphone b", "iphone bo", "iphone boo", "iphone bo", "iphone b", "iphone", "iphone e", "iphone ex", "iphone ext", "iphone extr", "iphone extra", "iphone extra c", "iphone extra ch", "iphone extra cha", "iphone extra char", "iphone extra charg", "iphone extra charge", "iphone extra charger" ]
2023-09-13 01:35:17.863
iphone extra charger
2023-09-13 01:35:36
5
3,865,470,619,942
pDDb4IjMMOOvhA0h8/AIVjuf6bywywOHfxY1mSezbVk=
[ "c", "ca", "cap", "capt" ]
2023-09-05 23:54:13.266
captain underpants books
2023-09-05 23:54:19
1,566
3,865,470,681,124
dttXBCysxxMPXaJ4YFGVM0k6iVqVtsE7GULVLSEmNgY=
[ "mario 4t costume" ]
2023-09-04 15:50:11.442
mario costume for kids 4t
2023-09-04 15:50:15
103
3,865,470,575,132
fwqTECfOOhr2VZQOKB+NuRFcFdy0Ttzm1YqEklKMeXU=
[ "s", "st", "sta", "stanl", "stan", "s", "stanle", "stanley", "stanley c", "stanley cu", "stanley cup" ]
2023-09-03 15:51:31.564
stanley cup
2023-09-03 15:51:39
55,950
3,865,470,774,111
jz6iKyLTwFCV0A/Sgq0QTvqkwywVCgih0Jnt4perAqc=
[ "l", "le", "led", "led s", "led sh", "led sho", "led show", "led showe", "led shower", "led shower p" ]
2023-09-04 09:08:48.337
led shower panel tower rainfall waterfall massage faucet system
2023-09-04 09:09:01
2
3,865,470,887,557
8nDJwqqKWdHaW4pg36ccVloWKfHL7qNpDA3O5H41fOA=
[ "wall decor", "wall deco", "wall dec", "wall dec", "wall de", "wall de", "wall d", "wall ", "wall c", "wall c", "wall cl", "wall cl", "wall clo", "wall clo", "wall cloc", "wall cloc", "wall clock" ]
2023-09-17 06:05:43.347
wall clock for bedroom
2023-09-17 06:06:06
293
3,865,470,597,466
hmk507kfWgR8UNEBHbEmZfEQniS2NSmkzVXTCH4y83Q=
[ "e", "ea", "ear", "ear ", "ear p", "ear pl", "ear plu", "ear plu", "ear plun" ]
2023-09-02 01:38:44.155
ear plunger
2023-09-02 01:38:53
15
3,865,470,696,117
Sk4PaMqIUwobdAMo67j7sUV3yBwCxU3jduDhFdQcRsM=
[ "w", "wi", "win", "wind", "windo", "window", "window d", "window de", "window dec", "window deco", "window decor" ]
2023-09-10 03:10:09.156
window decorative film
2023-09-10 03:10:18
25
3,865,470,808,843
IPaZgn7laTKB+n0z6RUwenI9msxYMj+Fc6qCqQaXK/o=
[ "d", "do", "dog", "dog c", "dog co", "dog cos" ]
2023-09-03 00:30:52.586
dog costumes for medium dogs
2023-09-03 00:31:03
1,776
3,865,470,699,642
Wl6a3OsdbtC/wg7QbKjnIxVVfpomjlYsQ4EU6Tncdgs=
[ "k", "ke", "key", "keyo", "key", "ke", "ket", "keto", "keto b", "keto ba", "keto bar", "keto bars" ]
2023-09-15 16:33:04.02
perfect keto bars
2023-09-15 16:33:19
944
3,865,470,900,527
MDjQvVurGkrhvg3IXe6nmPWZHuCgrAuwlJFZ79KV21A=
[ "iphone iphone 14 pro", "iphone iphone 14 pr" ]
2023-09-28 00:16:45.691
iphone iphone 14 pro max
2023-09-28 00:16:48
1
3,865,470,606,913
JSTnraPm9N16+MXw/bVxaq69mcf9oPPNhQ533j4DAQ8=
[ "t", "to", "top", "top b", "top bo", "top boo", "top book", "top boo", "top bo", "top b", "top", "top k", "top ki", "top kid", "top kids", "top kids c", "top kids ch", "top kids cha", "top kids chap", "top kids chapt", "top kids chapte", "top kids chapter", "top kids chapter b", "top kids chapter bo", "top kids chapter boo", "top kids chapter book" ]
2023-09-17 01:28:34.586
top kids chapter books
2023-09-17 01:28:41
3
3,865,470,785,500
+dSfO9wLoNdGbFRxy2prpf9UUxL92EGK1hngi6aBl1k=
[ "l phone case iphone 13 pro max", "l phone case iphone 13 pro max", "light phone case iphone 13 pro max", "li phone case iphone 13 pro max", "light phone case iphone 13 pro max", "lig phone case iphone 13 pro max", "light b phone case iphone 13 pro max", "ligh phone case iphone 13 pro max", "light br phone case iphone 13 pro max", "light bro phone case iphone 13 pro max", "light broe phone case iphone 13 pro max", "light bro phone case iphone 13 pro max", "light brow phone case iphone 13 pro max", "light brown phone case iphone 13 pro max" ]
2023-09-07 17:51:02.038
light brown phone case iphone 13 pro max
2023-09-07 17:51:08
2
3,865,470,741,233
QHSj4BYryOr7FKif6Pe814yZT5vcZgtKJper0w8nLKw=
[ "s", "st", "sta", "star", "starb", "starbu", "starbuc", "starbuck", "starbucks", "starbucks w", "starbucks wh", "starbucks whi", "starbucks whip", "starbucks whipp" ]
2023-09-03 20:16:27.986
starbucks whipped cream
2023-09-03 20:16:35
39
3,865,470,808,558
fISK02V56AJ2xsiSCHZ1T2RAkvc4BL1CDNj5YKFjPT8=
[ "night skies", "t", "th", "the", "the ", "the l", "the ls", "the lsa", "the lsat", "the lsat ", "the lsat r", "the lsat ", "the lsat", "the lsa", "the ls", "the l", "the la", "the las", "the last", "the last ", "the last r", "the last ra", "the last rac", "the last race" ]
2023-09-20 18:25:11.072
the last race
2023-09-20 18:25:15
3
3,865,470,665,587
h/zHbH/Q6ciyAp0eiT+XWw0GwnGhm6ekNGBunbzpdEk=
[ "b", "ba", "bar", "bar s", "bar st", "bar sto", "bar stoo", "bar stool", "bar stools", "bar stools s", "bar stools se", "bar stools set", "bar stools set o", "bar stools set of", "bar stools set of 2" ]
2023-09-12 21:11:25.541
bar stools set of 2
2023-09-12 21:11:34
3,247
3,865,470,627,212
Q/EN/S4H37M1DY2OtZrbVEgLWS7X3ZxV9PsjBKVvITQ=
[ "g", "gi", "gir", "girl", "girls", "girls ", "girls j", "girls ja", "girls jas", "girls jasm", "girls jasmi", "girls jasmin", "girls jasmine" ]
2023-09-16 22:53:56.97
girls jasmine costume
2023-09-16 22:54:01
52
3,865,470,809,494
GrLUumycECMR4AB/AMYi0b+Z9r6lHLN6LXkng9xMiFw=
[ "g", "gi", "gir", "girl", "girls", "girls p", "girls pi", "girls pin", "girls pink", "girls pink h", "girls pink hi", "girls pink hig" ]
2023-09-24 21:08:57.981
girls pink high heels
2023-09-24 21:09:06
24
3,865,470,769,261
J9CZokXStPstIiInspnxr4JwM7h33ZrHNL9yTxsRS40=
[ "layer 8 athletic wear" ]
2023-09-18 23:07:46.361
layer 8 athletic wear women
2023-09-18 23:07:48
6
3,865,470,887,565
EwL7GUTJV59BRNzi3NOQPYPINPH4pNoPz+g/HEZrOe0=
[ "t", "tr", "tra", "trav", "travl", "trav", "trave", "travel", "travel o", "travel or" ]
2023-09-12 11:49:29.707
travel organizer
2023-09-12 11:49:35
1,119
3,865,470,758,401
hy2Cnas/KAJQyxd8O/WeoL2djQ7sCLAvSjlr88Ovftk=
[ "b", "br", "bro", "brow", "brown", "brown ", "brown h", "brown ha", "brown har", "brown hard", "brown hard ", "brown hard h", "brown hard ha", "brown hard hat" ]
2023-09-22 11:24:49.563
brown hard hats for men
2023-09-22 11:24:57
19
3,865,470,839,134
Wi7gBicSKNMNc6GJUn/rscj8Q0Vk/H9/LA3e9VxpNyM=
[ "r", "re", "reb", "re", "ren", "renu" ]
2023-09-18 00:57:23.485
renuzit solid air freshener
2023-09-18 00:57:28
245
3,865,470,581,391
z/8Jvwxo+Bngv/OJcbkEKpwvu3Pvj8u7kbtN0mErbbk=
[ "b", "ba", "bal", "ball", "ballr", "ballro", "ballroo" ]
2023-09-07 05:47:43.1
ballroom dance shoes women
2023-09-07 05:47:50
509
3,865,470,883,714
lABib9Mik7oMqdE4rX5LGBD/9/5RY6HEfuhgHlm886o=
[ "iphone 13 case that charges", "iphone 13 case that charge", "iphone 13 case that charg", "iphone 13 case that char", "iphone 13 case that cha", "iphone 13 case that ch", "iphone 13 case that c", "iphone 13 case that ", "iphone 13 case that", "iphone 13 case tha", "iphone 13 case th", "iphone 13 case t", "iphone 13 case ", "iphone 13 case w", "iphone 13 case wo", "iphone 13 case wor", "iphone 13 case work", "iphone 13 case works", "iphone 13 case works ", "iphone 13 case works w", "iphone 13 case works wi", "iphone 13 case works wit", "iphone 13 case works with", "iphone 13 case works with ", "iphone 13 case works with w", "iphone 13 case works with wi", "iphone 13 case works with wir", "iphone 13 case works with wire" ]
2023-09-05 23:55:21.437
iphone 13 case works with wireless charger
2023-09-05 23:55:36
5
3,865,470,607,076
eYIFBAUOASuICuptdOoiJWE0tVEI4wFxWIQ/1FRZpgI=
[ "press on nails french tip", "press on nails french tip c", "press on nails french tip co" ]
2023-09-06 00:27:40.052
press on nails french tip coffin
2023-09-06 00:27:47
8
3,865,470,765,573
+cd5vbZz71ctuMj/nIqso8PpU0rPNj9tuTSxZ+h5vQU=
[ "harley quinn bat", "harley quinn bat", "harley quinn ba", "harley quinn b", "harley quinn ", "harley quinn i", "harley quinn in", "harley quinn inf", "harley quinn infl" ]
2023-09-20 21:23:33.588
harley quinn inflatable bat
2023-09-20 21:23:39
9
3,865,470,572,044
IFwNkdN1V4uQUbFEjSjZ3NA9EEyYHxKf4B9YK2qXmXE=
[ "p", "pu", "pum", "puma", "puma ", "puma w", "puma wo", "puma wom", "puma wome", "puma women", "puma women ", "puma women g", "puma women go", "puma women gol", "puma women golf", "puma women golf ", "puma women golf s", "puma women golf sh", "puma women golf sho", "puma women golf shor", "puma women golf short", "puma women golf shorts" ]
2023-09-18 14:44:20.193
puma women golf shorts
2023-09-18 14:44:26
4
3,865,470,639,369
a0XA4CO3ChTAy0bmSYo4OGPfIQLQOnrsrdsPVKSib60=
[ "straight aw", "straight aw" ]
2023-09-24 03:55:10.83
straight away golf trainer
2023-09-24 14:33:26
287
3,865,470,690,574
GfIIRBQS1aVD2g3i+5wDR1geWkhwQaKXZ2H8N1UsE44=
[ "jasmine rice" ]
2023-09-18 21:07:36.476
jasmine rice 25 lbs
2023-09-18 21:07:39
98
3,865,470,804,273
4xbQsz+7pO1SawPMe5Z7zlJjMd9HG5IYhs2zW1iXLCw=
[ "saie lip oil", "lip oil" ]
2023-09-12 21:18:29.912
lip oil
2023-09-12 21:18:34
11,633
3,865,470,699,370
ZGn9cshD88MoexeGEXafHWtxUveLhEq4CtBOcFPOLhg=
[ "c", "cl", "cle", "clea", "clea", "clear", "clear ", "clear st", "clear sta", "clear s", "clear stan", "clear stan", "clear stand", "clear standa", "clear standar", "clear standard", "clear standard " ]
2023-09-29 00:53:34.33
clear standard shower curtain liner
2023-09-29 00:53:44
4
3,865,470,619,653
vcmROkqdVcxgtN+aBEpXTTcxhah+Qel6lROJWotNd3s=
[ "r", "re", "rea", "rear", "rear ", "rear v", "rear vi" ]
2023-09-19 16:57:39.015
rear view mirror
2023-09-19 16:57:48
3,520
3,865,470,825,351
tNc3c7KM1YEfvYhs57eaR+P3pnonp5Jp3xs49eMYKAs=
[ "glueless", "glueless ", "glueless so", "glueless s", "glueless " ]
2023-09-10 17:48:55.177
glueless wigs human hair
2023-09-10 17:48:59
7,290
3,865,470,766,478
M2LitwbAYWSUX2joFGkaak5invlPHvNAg46IpkkqNEc=
[ "b", "be", "bel", "bell", "belly", "belly b", "belly bu", "belly but", "belly butt", "belly butto", "belly button", "belly button p", "belly button pl", "belly button plu", "belly button plug", "belly button plu", "belly button pl", "belly button p", "belly button", "belly button s", "belly button sh", "belly button sha", "belly button shap", "belly button shape", "belly button shaper" ]
2023-09-12 00:26:30.278
belly button shaper
2023-09-12 00:26:43
211
3,865,470,658,116
TtBY98WaAS+5lEkaJsgR012cPvElndYmzoKvovW7XBw=
[ "d", "do", "dog c", "dog", "dog co", "dog col", "dog co", "dog coll", "dog colla", "dog collar" ]
2023-09-02 16:33:36.733
dog collar
2023-09-02 16:33:40
18,012
3,865,470,867,936
HxvrBxx2Pkjlz928L8BGf8MizC7UZwXnWv9IcA5Wx0M=
[ "coral and brown curtains" ]
2023-09-03 23:53:20.076
coral and brown shower curtains for bathroom
2023-09-03 23:53:26
4
3,865,470,866,016
TXYC54YWdRSDF/+8BQfKZpOe/Z2OvoWFOFJ3k/N4hYM=
[ "mickey mouse", "mickey mouse b", "mickey mouse ba", "mickey mouse bab", "mickey mouse baby", "mickey mouse baby g", "mickey mouse baby gi", "mickey mouse baby gir", "mickey mouse baby girl" ]
2023-09-22 16:38:07.55
mickey mouse baby girl
2023-09-22 16:38:19
8
3,865,470,787,862
iJWwwRWqvfHCrfgp8f/SU/p26B+hySbomr94c1c0inA=
[ "d", "dr", "dra", "drad", "drad s", "drad se", "drad sea", "drad sea m", "drad sea mi", "drad sea min" ]
2023-09-24 18:13:27.631
dead sea mineral bath salt
2023-09-24 18:13:34
7
3,865,470,952,648
mH7aTFSyYeDeQyUY4gYWG4nTK4PAzzZhO/UePKaioCA=
[ "cherry bed sheets", "cherry bed sheets k", "cherry bed sheets ki", "cherry bed sheets kin", "cherry bed sheets king" ]
2023-09-21 04:21:07.962
cherry bed sheets king
2023-09-21 04:21:12
1
3,865,470,576,692
pLpTMpp75T+8EUEdJE2gNaLEYibX2U0zCmlWn2DStsI=
[ "m", "mi", "min", "mini", "mini i", "mini il", "mini ily", "mini il", "mini i", "mini ivy", "mini iv", "mini ivy g", "mini ivy ga", "mini ivy gar", "mini ivy garl", "mini ivy garla", "mini ivy garland", "mini ivy garlan", "minia ivy garland", "miniat ivy garland", "miniatur ivy garland", "miniatu ivy garland", "miniature ivy garland" ]
2023-09-14 02:36:12.176
miniature ivy garland for dollhouse
2023-09-14 02:36:25
2
3,865,470,779,546
+tTqJ5HmkjAnGL+Tl1BKHyKfRGhMdvfmTasNjUcHY/Y=
[ "b", "ba", "bac", "back", "backp", "backpe", "backpes", "backpess", "backpes", "backpe", "backp", "back", "backl", "backle", "backles", "backless", "backless r", "backless ro", "backless rom", "backless romp", "backless rompe", "backless romper" ]
2023-09-29 21:51:46.093
backless romper
2023-09-29 21:51:53
167
3,865,470,612,017
VNCeQ5mMV0YhtmM1O16yOWBTTBHOmMCE3aIBpi1/HvM=
[ "signal booster", "signal booster ", "signal booster 5", "signal booster 5g" ]
2023-09-25 19:49:12.824
signal booster 5g
2023-09-25 19:49:17
5
3,865,470,926,468
d/AGuu6vUaIXZVtRwVqpnXosVzIFi3B0Qju7SwoGIcY=
[ "ha", "hal", "halloween c", "halloween ", "hal", "halloween", "halloween c", "halloween costumes gi", "halloween costumes g", "halloween costumes girl", "h", "halloween costumes girls" ]
2023-09-26 17:46:22.657
halloween costumes girls
2023-09-26 17:46:33
516
3,865,470,757,426
cPTDab1Cx0kO2TD/u4ppB0FG7fMe2CFhUIqUG6u/3WI=
[ "sunflower teddy bea", "sunflower teddy be", "sunflower teddy be", "sunflower teddy b", "sunflower teddy", "sunflower tedd", "sunflower ted", "sunflower te", "sunflower t", "sunflower" ]
2023-09-15 21:45:15.54
sunflower gifts for women
2023-09-15 21:45:27
423
3,865,470,684,297
7H1VDetLoFH06wMgCRlNK0qP1dCm4YSaR+3QtbwFoBU=
[ "c", "ci", "cic", "cici", "cicir", "cicir i", "cicir in", "cicir int", "cicir inte", "cicir intenc", "cicir inten", "cicir intenci", "cicir intencio", "cicir intencion", "cicir intenciona", "cicir intencional", "cicir intencionalm", "cicir intencionalme", "cicir intencionalmen", "cicir intencionalment", "cicir intencionalmente" ]
2023-09-06 22:27:04.101
vivir intencionalmente
2023-09-06 22:27:13
7
3,865,470,615,729
pCCxhqwGrKbBUQmfIt660dAqka7aAKbctd9U/0A/qts=
[ "baseball fleece", "baseball fleece p", "baseball fleece pu", "baseball fleece pul", "baseball fleece pull", "baseball fleece pullo", "baseball fleece pullov", "baseball fleece pullove", "baseball fleece pullover" ]
2023-09-10 02:02:29.553
baseball fleece pullover
2023-09-10 02:02:39
2
3,865,470,800,662
z1KfHF03UYUuki18E5absxf87q8o2p0bftR1P0XPK34=
[ "womens knee high black boots flat hee", "womens knee high black boots flat he", "womens knee high black boots flat h", "womens knee high black boots flat ", "womens knee high black boots flat", "womens knee high black boots fla", "womens knee high black boots fl", "womens knee high black boots f", "womens knee high black boots " ]
2023-09-11 03:10:33.666
womens knee high black boots flat heel
2023-09-11 03:10:38
18
3,865,470,803,490
EyaKbimDCrqzFEwS6AqFrXxkByQpbmyoTK5QjtHGk0Q=
[ "puma deviate nitro", "puma deviate nitro e", "puma deviate nitro el", "puma deviate nitro elit", "puma deviate nitro eli", "puma deviate nitro elite" ]
2023-09-15 22:24:14.219
puma deviate nitro elite 2
2023-09-15 22:24:19
18
3,865,470,744,555
1ekz7boaIBw2VylU2R+boqQKm3sLgQciF25HWEcRvI4=
[ "n", "ni", "nin", "ninj", "ninja", "ninja ", "ninja a", "ninja ai", "ninja air", "ninja airf" ]
2023-09-29 20:39:00.945
ninja airfryer
2023-09-29 20:39:14
4,980
3,865,470,914,819
v+dtDi2R29XUPomSnqidvZHAN8MYJZBcA48p2gw8wTk=
[ "z", "ze", "zen", "zeni", "zenit", "zenith", "zenith s", "zenith su" ]
2023-09-23 02:15:53.718
zenith supplement leptin
2023-09-23 02:16:28
11
3,865,470,636,934
vg84w4AXOQMof58rAMzo0U+tPfd5RtpUa1IubOk388k=
[ "celestial witch journal", "celestial witc journal", "celestial witc journal", "celestial wi journal", "celestial wit journal", "celestial w journal", "celestial journal", "celestial journal", "celestia journal", "celestia journal", "celesti journal", "celest journal", "celes journal", "cele journal", "cel journal", "ce journal", "c journal", "journal", "m journal", "mo journal", "moo journal", "moo journal", "moon journal", "moon journal", "moon c journal", "moon cy journal", "moon cy journal", "moon cyc journal", "moon cyclejournal", "moon cycle journal", "moon cycle journal" ]
2023-09-05 21:33:13.433
moon cycle journal
2023-09-05 21:33:22
7
3,865,470,717,047
VpNGPZy5ERYxbBTowXBhQMFS+z/+SJLoMGwyYuO+GtE=
[ "invicta watch case 8 slot", "invicta watch case 8 slot" ]
2023-09-27 10:10:37.739
invicta watch case
2023-09-27 10:10:40
50
3,865,470,673,973
21MGpbmgjjFCRlugA5oONt6XyvFJfkMueua2O4LqdL4=
[ "ddr4 16gb", "7", "70", "700" ]
2023-09-28 03:57:57.948
700w power supply
2023-09-28 03:58:04
295
3,865,470,723,846
KD2uSzRjDDNIXQ6SGLXEN153SexaTcvnZtm/tgNiy7Y=
[ "prohead pump aquariums", "prhead pump aquariums", "phead pump aquariums", "pohead pump aquariums", "powhead pump aquariums", "powehead pump aquariums", "powerhead pump aquariums" ]
2023-09-11 16:18:33.456
aquarium powerhead pump
2023-09-11 16:18:44
20
3,865,470,819,196
XM88UJA1+sbUmfq2BJisBT1aOBWSoL/nPNg8H0rxAkU=
[ "r", "re", "rem", "remo", "remot", "remote", "remote c", "remote co", "remote con", "remote cont", "remote contr", "remote contro", "remote control" ]
2023-09-07 13:57:31.317
remote control
2023-09-07 13:57:35
1,304
3,865,470,627,215
GCO9YB065KJv4V/Ib7Bm2QzW7/u8vFcdVN9CYqHq1vI=
[ "8", "8o", "8oz", "8oz ", "8oz l", "8oz le", "8oz lea", "8oz leat", "8oz leath", "8oz leathe", "8oz leathe", "8oz leather" ]
2023-09-24 03:15:28.88
8oz leather
2023-09-24 03:15:36
11
3,865,470,587,534
ZZqOaiO2euiwA5xN18hpbyodYHIN47gDgi+NIlEljgA=
[ "e", "ex", "ext", "exte", "exter", "extern", "externa", "external", "external m", "external mo", "external mon" ]
2023-09-02 03:19:52.384
external monitor camera
2023-09-02 03:19:58
49
3,865,470,598,361
tQCp6er1PLSeeshce4sMNTExRZ0IWQ1eyplmM/fMo8I=
[ "av", "a", "g", "gl", "gla", "glar", "glary", "glary u", "glary ut", "glary uti", "glary util", "glary utili", "glary utilit", "glary utiliti", "glary utilitie", "glary utilities" ]
2023-09-20 02:57:21.776
glary utilities
2023-09-20 02:57:37
2
3,865,470,763,296
zIgj06mhVP+iQc1gSiafQr0EE+GOCTIU8HAqPwwf3tE=
[ "i", "ip", "iph", "ipho", "iphon", "iphone", "iphone ", "iphone 1", "iphone 12", "iphone 12 ", "iphone 12 c", "iphone 12 ca", "iphone 12 cas", "iphone 12 case", "iphone 12 case ", "iphone 12 case r", "iphone 12 case re", "iphone 12 case ret", "iphone 12 case retr", "iphone 12 case retro" ]
2023-09-20 22:40:18.995
iphone 12 case retro
2023-09-20 22:40:24
24
3,865,470,705,924
SIjVNDCyiswcIsRvfqIKjDzxhROoKXvjEhD6bnF6p/g=
[ "s", "sm", "sma", "smal", "small", "small b", "small bi", "small bin", "small bino", "small binoc", "small binocu", "small binocul", "small binoculo", "small binoculor", "small binoculors" ]
2023-09-03 13:33:37.673
small binoculors
2023-09-03 13:33:47
2
3,865,470,795,711
YPUzIcJg7QrURYzzlsydeYtTyOuZqPDYTD2diVKAffI=
[ "c", "cu", "cui", "cuis", "cuisi", "cuisin", "cuisina", "cuisinar", "cuisinart", "cuisinart ", "cuisinart g", "cuisinart gr", "cuisinart gri", "cuisinart gril", "cuisinart grill" ]
2023-09-14 22:35:23.171
cuisinart grill
2023-09-14 22:35:29
251
3,865,470,814,587
qFXMCBXx05n/woq9MLXJiUpPQCu2E9jA3S5FwO9P3BU=
[ "o", "ou", "out", "outd", "outdo", "outdoo", "outdoor", "outdoor ", "outdoor s", "outdoor sm", "outdoor sma", "outdoor smar", "outdoor smart", "outdoor smart ", "outdoor smart p", "outdoor smart pl", "outdoor smart plu", "outdoor smart plug" ]
2023-09-24 02:38:05.865
outdoor smart plug
2023-09-24 02:38:10
474
3,865,470,632,880
XtMWGJ8MflESdQAF2yocFacVYetx9WOGTuo2Awa+GoU=
[ "r", "red", "re", "red ", "red s", "red so", "red soc", "red socc", "red socce", "red soccer", "red soccer ", "red soccer t", "red soccer tu", "red soccer tur", "red soccer turf" ]
2023-09-28 23:03:02.314
red turf soccer shoes
2023-09-28 23:03:10
4
3,865,470,873,314
f89V3JCJjUgiupbtztT8IdnqgCMHTnr2NTG+/cpDgJE=
[ "c", "ch", "cha", "chap", "chapa", "chapas", "chapas d", "chapas de" ]
2023-09-11 19:34:22.259
chapas de puertas
2023-09-11 19:34:29
37
3,865,470,683,958
65kQhsMNFxvPD1onnLAYMmuuoF4KKt+9qq4bpfwNg64=
[ "o", "of", "off", "offi", "offic", "office", "office ", "office do", "office d", "office doo", "office door ", "office door", "office door h", "office door ha", "office door han", "office door hand", "office door handl", "office door handle", "office door handle ", "office door handle n", "office door handle no", "office door handle no l", "office door handle no ", "office door handle no lo", "office door handle no loc", "office door handle no lock" ]
2023-09-20 19:27:56.189
office door handle no lock
2023-09-20 19:28:04
5
3,865,470,756,425
uB8WD5+/j5KhldEL3ezLnh7rdiqZZzbMwX5jGqcquUI=
[ "m", "mo", "mou", "mout", "mouth", "mouth ", "mouth w", "mouth wa", "mouth was", "mouth wash" ]
2023-09-13 01:34:17.15
mouth wash
2023-09-13 01:34:20
4,046
3,865,470,839,417
Tkqk3qmXJDYv1iZ4sxSzgxJj3dPWbO87r1knhaDiKSU=
[ "l", "la", "las", "lasa", "lasag", "lasagna" ]
2023-09-21 02:07:41.392
lasagna pan
2023-09-21 02:07:47
550

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset

Train Dataset Size: 395 million samples
Test Dataset Size: 20k samples
Source: Amazon Search Logs
File Format: Parquet
Compression: Snappy

If you use this dataset, please cite our EMNLP 2024 paper:

@inproceedings{everaert-etal-2024-amazonqac,
    title = "{A}mazon{QAC}: A Large-Scale, Naturalistic Query Autocomplete Dataset",
    author = "Everaert, Dante  and
      Patki, Rohit  and
      Zheng, Tianqi  and
      Potts, Christopher",
    editor = "Dernoncourt, Franck  and
      Preo{\c{t}}iuc-Pietro, Daniel  and
      Shimorina, Anastasia",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = nov,
    year = "2024",
    address = "Miami, Florida, US",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2024.emnlp-industry.78",
    pages = "1046--1055",
    abstract = "Query Autocomplete (QAC) is a critical feature in modern search engines, facilitating user interaction by predicting search queries based on input prefixes. Despite its widespread adoption, the absence of large-scale, realistic datasets has hindered advancements in QAC system development. This paper addresses this gap by introducing AmazonQAC, a new QAC dataset sourced from Amazon Search logs, comprising 395M samples. The dataset includes actual sequences of user-typed prefixes leading to final search terms, as well as session IDs and timestamps that support modeling the context-dependent aspects of QAC. We assess Prefix Trees, semantic retrieval, and Large Language Models (LLMs) with and without finetuning. We find that finetuned LLMs perform best, particularly when incorporating contextual information. However, even our best system achieves only half of what we calculate is theoretically possible on our test data, which implies QAC is a challenging problem that is far from solved with existing systems. This contribution aims to stimulate further research on QAC systems to better serve user needs in diverse environments. We open-source this data on Hugging Face at https://huggingface.co./datasets/amazon/AmazonQAC.",
}

Dataset Summary

AmazonQAC is a large-scale dataset designed for Query Autocomplete (QAC) tasks, sourced from real-world Amazon Search logs. It provides anonymized sequences of user-typed prefixes leading to final search terms, along with rich session metadata such as timestamps and session IDs. This dataset supports research on context-aware query completion by offering realistic, large-scale, and natural user behavior data.

QAC is a widely used feature in search engines, designed to predict users' full search queries as they type. Despite its importance, research progress has been limited by the lack of realistic datasets. AmazonQAC aims to address this gap by providing a comprehensive dataset to spur advancements in QAC systems. AmazonQAC also contains a realistic test set for benchmarking of different QAC approaches, consisting of past_search, prefix and final search term rows (mimics a real QAC service).

Key Features:

Train:

  • 395M samples: Each sample includes the user’s search term and the sequence of prefixes they typed. Collected from 2023-09-01 to 2023-09-30 from US logs
  • Session Metadata: Includes session IDs and timestamps for context-aware modeling.
  • Naturalistic Data: Real user interactions are captured, including non-linear typing patterns and partial prefix matches.
  • Popularity Information: Popularity of search terms is included as metadata.

Test:

  • 20k samples: Each sample includes a prefix and the user’s final search term. Collected from 2023-10-01 to 2023-10-14 (after the train data time period) from US logs
  • Session Metadata: Each sample also contains an array of the user's past search terms for input to context-aware QAC systems
  • Naturalistic Data: Each row is randomly sampled prefix/search term/context from search logs (no sequence of past typed prefixes, etc), mimicking the asynchronous nature of a real-world QAC service

Dataset Structure

Train:

Each data entry consists of:

  • query_id: long A unique identifier for each row/user search.
  • session_id: string The user session ID.
  • prefixes: array<string> A sequence of prefixes typed by the user in order.
  • first_prefix_typed_time: string (YYYY-MM-DD HH:MM:SS.sss) The timestamp when the first prefix was typed.
  • final_search_term: string The final search term searched for by the user.
  • search_time: string (YYYY-MM-DD HH:MM:SS) The timestamp of the final search.
  • popularity: long The number of occurrences of the search term before filtering.

Test:

Each data entry consists of:

  • query_id: long A unique identifier for each row/user search.
  • session_id: string The user session ID.
  • past_search_terms: array<array<string>> A sequence of past search terms from the user in order along with each search term's timestamp
  • prefix: string Prefix typed by the user
  • prefix_typed_time: string (YYYY-MM-DD HH:MM:SS.sss) The timestamp when the prefix was typed.
  • final_search_term: string The final search term searched for by the user.
  • search_time: string (YYYY-MM-DD HH:MM:SS) The timestamp of the final search term.

Example

Train

{
  "query_id": "12",
  "session_id": "354",
  "prefixes": ["s", "si", "sin", "sink", "sink r", "sink ra", "sink rac", "sink rack"],
  "first_prefix_typed_time": "2023-09-04T20:46:14.293Z",
  "final_search_term": "sink rack for bottom of sink",
  "search_time": "2023-09-04T20:46:27",
  "popularity": 125
}

Test

{
  "query_id": "23",
  "session_id": "783",
  "past_search_terms": [["transformers rise of the beast toys", "2023-10-07 13:03:54"], ["ultra magnus", "2023-10-11 11:54:44"]],
  "prefix": "transf",
  "prefix_typed_time": "2023-10-11T16:42:30.256Z",
  "final_search_term": "transformers legacy",
  "search_time": "2023-10-11 16:42:34"
}

Dataset Statistics

Statistic Train Set Test Set
Total Prefixes 4.28B 20K
Unique Prefixes 384M 15.1K
Unique Search Terms 40M 16.7K
Unique Prefix/Search Term Pairs 1.1B 19.9K
Average Prefix Length 9.5 characters 9.2 characters
Average Search Term Length 20.0 characters 20.3 characters
Searches per Session 7.3 10.3
Train/Test Overlap: Unique Prefixes 13.4k 88%
Train/Test Overlap: Unique Search Terms 12.3k 74%
Train/Test Overlap: Unique Prefix/Search Term Pairs 11.7k 59%

Evaluation Metrics

The dataset is evaluated using the following core metrics:

  • Success@10: Of the 10 suggestions a QAC system provides, whether the correct search term is contained in them
  • Reciprocal Rank@10: Of the 10 suggestions a QAC systems provides, 1/rank if the correct term is present otherwise 0 The means for each is calculated across the test dataset.

Ethical Considerations

All data has been anonymized, and personally identifiable information (PII) has been removed using regex filters and LLM-based fileter. The dataset is also restricted to search terms which appeared at least 4 times in 4 different sessions in order to help ensure they are not user specific.

The dataset is derived from U.S. Amazon search logs, so it reflects a specific cultural and linguistic context, which may not generalize to all search environments.

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