Datasets:
example_id
int64 | query
string | query_id
int64 | product_id
string | product_locale
string | esci_label
string | small_version
int64 | large_version
int64 | split
string | __index_level_0__
int64 |
|---|---|---|---|---|---|---|---|---|---|
0
|
revent 80 cfm
| 0
|
B000MOO21W
|
us
|
I
| 0
| 1
|
train
| 0
|
1
|
revent 80 cfm
| 0
|
B07X3Y6B1V
|
us
|
E
| 0
| 1
|
train
| 1
|
2
|
revent 80 cfm
| 0
|
B07WDM7MQQ
|
us
|
E
| 0
| 1
|
train
| 2
|
3
|
revent 80 cfm
| 0
|
B07RH6Z8KW
|
us
|
E
| 0
| 1
|
train
| 3
|
4
|
revent 80 cfm
| 0
|
B07QJ7WYFQ
|
us
|
E
| 0
| 1
|
train
| 4
|
5
|
revent 80 cfm
| 0
|
B076Q7V5WX
|
us
|
E
| 0
| 1
|
train
| 5
|
6
|
revent 80 cfm
| 0
|
B075ZBF9HG
|
us
|
E
| 0
| 1
|
train
| 6
|
7
|
revent 80 cfm
| 0
|
B06W2LB17J
|
us
|
E
| 0
| 1
|
train
| 7
|
8
|
revent 80 cfm
| 0
|
B07JY1PQNT
|
us
|
E
| 0
| 1
|
train
| 8
|
9
|
revent 80 cfm
| 0
|
B01MZIK0PI
|
us
|
E
| 0
| 1
|
train
| 9
|
10
|
revent 80 cfm
| 0
|
B011RX6PNO
|
us
|
I
| 0
| 1
|
train
| 10
|
11
|
revent 80 cfm
| 0
|
B00XBZFWWM
|
us
|
E
| 0
| 1
|
train
| 11
|
12
|
revent 80 cfm
| 0
|
B00MARNO5Y
|
us
|
E
| 0
| 1
|
train
| 12
|
13
|
revent 80 cfm
| 0
|
B003O0MNGC
|
us
|
E
| 0
| 1
|
train
| 13
|
14
|
revent 80 cfm
| 0
|
B001E6DMKY
|
us
|
E
| 0
| 1
|
train
| 14
|
15
|
revent 80 cfm
| 0
|
B01N5Y6002
|
us
|
E
| 0
| 1
|
train
| 15
|
16
|
!awnmower tires without rims
| 1
|
B075SCHMPY
|
us
|
I
| 1
| 1
|
train
| 16
|
17
|
!awnmower tires without rims
| 1
|
B08L3B9B9P
|
us
|
E
| 1
| 1
|
train
| 17
|
18
|
!awnmower tires without rims
| 1
|
B082K7V2GZ
|
us
|
I
| 1
| 1
|
train
| 18
|
19
|
!awnmower tires without rims
| 1
|
B07P4CF3DP
|
us
|
S
| 1
| 1
|
train
| 19
|
20
|
!awnmower tires without rims
| 1
|
B07C1WZG12
|
us
|
E
| 1
| 1
|
train
| 20
|
21
|
!awnmower tires without rims
| 1
|
B077QMNXTS
|
us
|
E
| 1
| 1
|
train
| 21
|
22
|
!awnmower tires without rims
| 1
|
B01M3SJ699
|
us
|
C
| 1
| 1
|
train
| 22
|
23
|
!awnmower tires without rims
| 1
|
B06XX6BM2R
|
us
|
E
| 1
| 1
|
train
| 23
|
24
|
!awnmower tires without rims
| 1
|
B01DBGLLUC
|
us
|
S
| 1
| 1
|
train
| 24
|
25
|
!awnmower tires without rims
| 1
|
B00N16T5D8
|
us
|
I
| 1
| 1
|
train
| 25
|
26
|
!awnmower tires without rims
| 1
|
B0089RNSNM
|
us
|
E
| 1
| 1
|
train
| 26
|
27
|
!awnmower tires without rims
| 1
|
B0089RA0HY
|
us
|
S
| 1
| 1
|
train
| 27
|
28
|
!awnmower tires without rims
| 1
|
B005O5Y3QI
|
us
|
E
| 1
| 1
|
train
| 28
|
29
|
!awnmower tires without rims
| 1
|
B0018TWDOI
|
us
|
E
| 1
| 1
|
train
| 29
|
30
|
!awnmower tires without rims
| 1
|
B00004RA3F
|
us
|
I
| 1
| 1
|
train
| 30
|
31
|
!awnmower tires without rims
| 1
|
B01H3KC5U2
|
us
|
I
| 1
| 1
|
train
| 31
|
32
|
!qscreen fence without holes
| 2
|
B07D7TBSGH
|
us
|
I
| 1
| 1
|
test
| 32
|
33
|
!qscreen fence without holes
| 2
|
B07DHT2WZK
|
us
|
I
| 1
| 1
|
test
| 33
|
34
|
!qscreen fence without holes
| 2
|
B07DHX8YH2
|
us
|
E
| 1
| 1
|
test
| 34
|
35
|
!qscreen fence without holes
| 2
|
B07DS1YCRZ
|
us
|
S
| 1
| 1
|
test
| 35
|
36
|
!qscreen fence without holes
| 2
|
B07DS3J3MB
|
us
|
S
| 1
| 1
|
test
| 36
|
37
|
!qscreen fence without holes
| 2
|
B07L41H13T
|
us
|
I
| 1
| 1
|
test
| 37
|
38
|
!qscreen fence without holes
| 2
|
B07L6W8HBL
|
us
|
I
| 1
| 1
|
test
| 38
|
39
|
!qscreen fence without holes
| 2
|
B07MFP4PPQ
|
us
|
E
| 1
| 1
|
test
| 39
|
40
|
!qscreen fence without holes
| 2
|
B07S7LGN9S
|
us
|
I
| 1
| 1
|
test
| 40
|
41
|
!qscreen fence without holes
| 2
|
B07R3TNQDM
|
us
|
E
| 1
| 1
|
test
| 41
|
42
|
!qscreen fence without holes
| 2
|
B07R6P8TK8
|
us
|
E
| 1
| 1
|
test
| 42
|
43
|
!qscreen fence without holes
| 2
|
B07TVHBMZS
|
us
|
I
| 1
| 1
|
test
| 43
|
44
|
!qscreen fence without holes
| 2
|
B07XG17SPY
|
us
|
I
| 1
| 1
|
test
| 44
|
45
|
!qscreen fence without holes
| 2
|
B08NG85RHL
|
us
|
E
| 1
| 1
|
test
| 45
|
46
|
!qscreen fence without holes
| 2
|
B08TBSXMTF
|
us
|
I
| 1
| 1
|
test
| 46
|
47
|
!qscreen fence without holes
| 2
|
B0948KVQW3
|
us
|
I
| 1
| 1
|
test
| 47
|
48
|
!qscreen fence without holes
| 2
|
B078TL7LJ2
|
us
|
I
| 1
| 1
|
test
| 48
|
49
|
!qscreen fence without holes
| 2
|
B07QC4X29H
|
us
|
I
| 1
| 1
|
test
| 49
|
50
|
!qscreen fence without holes
| 2
|
B078RHZTVK
|
us
|
I
| 1
| 1
|
test
| 50
|
51
|
!qscreen fence without holes
| 2
|
B01EYHHO2G
|
us
|
E
| 1
| 1
|
test
| 51
|
52
|
!qscreen fence without holes
| 2
|
B072M34RQC
|
us
|
I
| 1
| 1
|
test
| 52
|
53
|
!qscreen fence without holes
| 2
|
B077Z8Z8D8
|
us
|
E
| 1
| 1
|
test
| 53
|
54
|
!qscreen fence without holes
| 2
|
B000HMCA7W
|
us
|
I
| 1
| 1
|
test
| 54
|
55
|
!qscreen fence without holes
| 2
|
B0019Y6TTC
|
us
|
E
| 1
| 1
|
test
| 55
|
56
|
!qscreen fence without holes
| 2
|
B001OJXVKW
|
us
|
E
| 1
| 1
|
test
| 56
|
57
|
!qscreen fence without holes
| 2
|
B0030E1WLE
|
us
|
I
| 1
| 1
|
test
| 57
|
58
|
!qscreen fence without holes
| 2
|
B003VNKLIY
|
us
|
I
| 1
| 1
|
test
| 58
|
59
|
!qscreen fence without holes
| 2
|
B0079GH86C
|
us
|
I
| 1
| 1
|
test
| 59
|
60
|
!qscreen fence without holes
| 2
|
B00JNTYX3Y
|
us
|
I
| 1
| 1
|
test
| 60
|
61
|
!qscreen fence without holes
| 2
|
B0079GH6J6
|
us
|
C
| 1
| 1
|
test
| 61
|
62
|
!qscreen fence without holes
| 2
|
B018JYCD80
|
us
|
E
| 1
| 1
|
test
| 62
|
63
|
!qscreen fence without holes
| 2
|
B018JYCD9Y
|
us
|
S
| 1
| 1
|
test
| 63
|
64
|
!qscreen fence without holes
| 2
|
B01ESSA9VO
|
us
|
I
| 1
| 1
|
test
| 64
|
65
|
!qscreen fence without holes
| 2
|
B01JLK7L56
|
us
|
I
| 1
| 1
|
test
| 65
|
66
|
!qscreen fence without holes
| 2
|
B01N4AMZ8Y
|
us
|
S
| 1
| 1
|
test
| 66
|
67
|
!qscreen fence without holes
| 2
|
B06XTWZ857
|
us
|
I
| 1
| 1
|
test
| 67
|
68
|
!qscreen fence without holes
| 2
|
B071HW515B
|
us
|
I
| 1
| 1
|
test
| 68
|
69
|
!qscreen fence without holes
| 2
|
B018JYCBWI
|
us
|
I
| 1
| 1
|
test
| 69
|
70
|
!solid camiseta sin manga
| 3
|
B08TQH4RBB
|
es
|
E
| 1
| 1
|
train
| 70
|
71
|
!solid camiseta sin manga
| 3
|
B08H2H18DN
|
es
|
E
| 1
| 1
|
train
| 71
|
72
|
!solid camiseta sin manga
| 3
|
B08HJQJT2T
|
es
|
E
| 1
| 1
|
train
| 72
|
73
|
!solid camiseta sin manga
| 3
|
B08LP68XTS
|
es
|
S
| 1
| 1
|
train
| 73
|
74
|
!solid camiseta sin manga
| 3
|
B08NDS1HS2
|
es
|
E
| 1
| 1
|
train
| 74
|
75
|
!solid camiseta sin manga
| 3
|
B08PNZHW6T
|
es
|
S
| 1
| 1
|
train
| 75
|
76
|
!solid camiseta sin manga
| 3
|
B08TQF34WG
|
es
|
I
| 1
| 1
|
train
| 76
|
77
|
!solid camiseta sin manga
| 3
|
B08TR31689
|
es
|
E
| 1
| 1
|
train
| 77
|
78
|
!solid camiseta sin manga
| 3
|
B0983KNTQX
|
es
|
E
| 1
| 1
|
train
| 78
|
79
|
!solid camiseta sin manga
| 3
|
B08ZC4CHDH
|
es
|
S
| 1
| 1
|
train
| 79
|
80
|
!solid camiseta sin manga
| 3
|
B092MPN8SG
|
es
|
E
| 1
| 1
|
train
| 80
|
81
|
!solid camiseta sin manga
| 3
|
B094MMLTPX
|
es
|
S
| 1
| 1
|
train
| 81
|
82
|
!solid camiseta sin manga
| 3
|
B094TXFSY5
|
es
|
S
| 1
| 1
|
train
| 82
|
83
|
!solid camiseta sin manga
| 3
|
B095G3N3XP
|
es
|
E
| 1
| 1
|
train
| 83
|
84
|
!solid camiseta sin manga
| 3
|
B095SZYVRF
|
es
|
E
| 1
| 1
|
train
| 84
|
85
|
!solid camiseta sin manga
| 3
|
B095WT8DVF
|
es
|
E
| 1
| 1
|
train
| 85
|
86
|
!solid camiseta sin manga
| 3
|
B08G8MSGNK
|
es
|
S
| 1
| 1
|
train
| 86
|
87
|
!solid camiseta sin manga
| 3
|
B08XXBYJ7B
|
es
|
S
| 1
| 1
|
train
| 87
|
88
|
!solid camiseta sin manga
| 3
|
B088SR4RS3
|
es
|
E
| 1
| 1
|
train
| 88
|
89
|
!solid camiseta sin manga
| 3
|
B07Q3251CF
|
es
|
E
| 1
| 1
|
train
| 89
|
90
|
!solid camiseta sin manga
| 3
|
B088LTFS29
|
es
|
E
| 1
| 1
|
train
| 90
|
91
|
!solid camiseta sin manga
| 3
|
B00KHTM8L8
|
es
|
I
| 1
| 1
|
train
| 91
|
92
|
!solid camiseta sin manga
| 3
|
B00KHTOY3S
|
es
|
E
| 1
| 1
|
train
| 92
|
93
|
!solid camiseta sin manga
| 3
|
B00KTH347A
|
es
|
S
| 1
| 1
|
train
| 93
|
94
|
!solid camiseta sin manga
| 3
|
B016XVQNAK
|
es
|
E
| 1
| 1
|
train
| 94
|
95
|
!solid camiseta sin manga
| 3
|
B072813HRW
|
es
|
S
| 1
| 1
|
train
| 95
|
96
|
!solid camiseta sin manga
| 3
|
B0769M46VJ
|
es
|
S
| 1
| 1
|
train
| 96
|
97
|
!solid camiseta sin manga
| 3
|
B07C51C33R
|
es
|
S
| 1
| 1
|
train
| 97
|
98
|
!solid camiseta sin manga
| 3
|
B07CBRMRF9
|
es
|
E
| 1
| 1
|
train
| 98
|
99
|
!solid camiseta sin manga
| 3
|
B07FM5CLWS
|
es
|
E
| 1
| 1
|
train
| 99
|
End of preview. Expand
in Data Studio
YAML Metadata
Warning:
The task_categories "information-retrieval" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Amazon Shopping Queries Dataset
This dataset contains Amazon shopping queries and product information for training product ranking models.
Dataset Files
- shopping_queries_dataset_examples.parquet: Query-product pairs with ESCI labels
- shopping_queries_dataset_products.parquet: Product catalog with titles and descriptions
- shopping_queries_dataset_sources.csv: Source metadata
Usage
from huggingface_hub import hf_hub_download
import pandas as pd
# Download files
examples_path = hf_hub_download(
repo_id="khanmu2003/amazon-shopping-queries-dataset",
filename="shopping_queries_dataset_examples.parquet",
repo_type="dataset"
)
products_path = hf_hub_download(
repo_id="khanmu2003/amazon-shopping-queries-dataset",
filename="shopping_queries_dataset_products.parquet",
repo_type="dataset"
)
sources_path = hf_hub_download(
repo_id="khanmu2003/amazon-shopping-queries-dataset",
filename="shopping_queries_dataset_sources.csv",
repo_type="dataset"
)
# Load data
df_examples = pd.read_parquet(examples_path)
df_products = pd.read_parquet(products_path)
df_sources = pd.read_csv(sources_path)
Citation
If you use this dataset, please cite appropriately.
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