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transaction_id
string
customer_id
string
merchant_id
string
timestamp
string
amount
float64
channel
string
device_id
string
is_fraud
int64
fraud_type
string
mcc
int64
category
string
city
string
lat
float64
lon
float64
km_from_home
float64
T000000010
C000243
M01417
2025-01-01 00:01:04
55.09
card_present
null
0
null
5,999
misc_retail
Auckland
-36.777425
174.718828
8.9
T000000083
C000258
M02411
2025-01-01 00:07:58
76.66
online
D000258-0
0
null
4,900
utilities
Los Angeles
34.083179
-118.290329
null
T000000088
C000231
M03963
2025-01-01 00:08:55
93.85
online
D000231-0
0
null
4,900
utilities
Brisbane
-27.513633
153.025721
null
T000000097
C000141
M02337
2025-01-01 00:09:24
7.44
card_present
null
0
null
5,311
department_store
Perth
-31.948078
115.857725
0.3
T000000161
C000643
M03449
2025-01-01 00:15:57
13.7
online
D000643-0
0
null
4,121
rideshare_taxi
Auckland
-36.784969
174.729547
null
T000000234
C000932
M01280
2025-01-01 00:22:17
36.7
card_present
null
0
null
5,541
fuel
Melbourne
-37.797965
144.930339
2.9
T000000239
C000607
M02795
2025-01-01 00:22:56
142.57
online
D000607-2
0
null
5,311
department_store
Melbourne
-37.857727
144.965712
null
T000000249
C000245
M02927
2025-01-01 00:24:13
19.01
online
D000245-1
0
null
5,942
books
Adelaide
-34.848895
138.609356
null
T000000283
C000863
M00643
2025-01-01 00:27:41
8.66
card_present
null
0
null
5,814
fast_food
Adelaide
-34.913388
138.540939
5.7
T000000292
C000181
M03372
2025-01-01 00:28:30
41.58
card_present
null
0
null
5,411
grocery
Auckland
-36.852234
174.741431
1.7
T000000302
C000471
M00824
2025-01-01 00:29:25
2.35
online
D000471-0
0
null
5,815
digital_goods
Los Angeles
34.027175
-118.201829
null
T000000448
C000740
M03701
2025-01-01 00:47:10
222.99
card_present
null
0
null
5,732
electronics
Sydney
-33.947369
151.137175
10.9
T000000456
C000464
M01711
2025-01-01 00:48:00
32.25
card_present
null
0
null
5,912
pharmacy
Auckland
-36.855218
174.849541
8
T000000510
C000675
M00543
2025-01-01 00:54:14
37.98
card_present
null
0
null
5,912
pharmacy
Auckland
-36.855146
174.663521
8.6
T000000528
C000363
M01259
2025-01-01 00:55:49
859.17
online
D000363-0
0
null
4,511
airline
Auckland
-36.799513
174.760751
null
T000000530
C000247
M01754
2025-01-01 00:56:01
12.24
online
D000247-0
0
null
5,942
books
Perth
-31.926254
115.834408
null
T000000550
C000607
M02693
2025-01-01 00:58:24
27.36
online
D000607-2
0
null
4,121
rideshare_taxi
Los Angeles
34.017267
-118.279975
null
T000000553
C000578
M00266
2025-01-01 00:58:52
97.73
card_present
null
0
null
5,691
clothing
Perth
-31.978696
115.907495
5.5
T000000582
C000962
M03221
2025-01-01 01:02:52
48.75
online
D000962-0
0
null
5,732
electronics
Brisbane
-27.492189
153.026994
null
T000000604
C000755
M01300
2025-01-01 01:05:29
132.44
online
D000755-0
0
null
5,411
grocery
Brisbane
-27.363574
153.026097
null
T000000628
C000028
M02763
2025-01-01 01:09:38
37.92
card_present
null
0
null
5,541
fuel
Brisbane
-27.46562
153.011953
1.8
T000000652
C000515
M01611
2025-01-01 01:13:00
5.48
online
D000515-0
0
null
5,999
misc_retail
Melbourne
-37.719371
144.96956
null
T000000763
C000351
M01472
2025-01-01 01:30:48
2.06
online
D000351-0
0
null
5,815
digital_goods
Adelaide
-34.90766
138.640632
null
T000000800
C000660
M02983
2025-01-01 01:36:16
21.59
card_present
null
0
null
4,121
rideshare_taxi
Auckland
-36.920249
174.795276
8.4
T000000837
C000510
M03000
2025-01-01 01:42:51
31.44
card_present
null
0
null
5,311
department_store
Melbourne
-37.889903
144.985556
9.2
T000000852
C000151
M03463
2025-01-01 01:44:45
28.37
online
D000151-0
0
null
7,832
cinema
Melbourne
-37.856745
144.978598
null
T000000899
C000650
M00759
2025-01-01 01:51:59
53.21
card_present
null
0
null
5,541
fuel
Perth
-31.99856
115.793233
8.3
T000000918
C000030
M00509
2025-01-01 01:54:58
199.17
online
D000030-1
0
null
4,900
utilities
Sydney
-33.820689
151.162653
null
T000000962
C000818
M00927
2025-01-01 02:02:43
14.03
card_present
null
0
null
5,814
fast_food
Auckland
-36.947999
174.692641
12.4
T000001094
C000226
M02854
2025-01-01 02:28:18
26.7
online
D000226-0
0
null
5,999
misc_retail
Sydney
-33.871459
151.213791
null
T000001122
C000503
M03312
2025-01-01 02:33:22
176.45
online
D000503-1
0
null
5,815
digital_goods
New York
40.678989
-74.082633
null
T000001143
C000299
M02712
2025-01-01 02:37:55
14.3
online
D74452657
0
null
4,121
rideshare_taxi
Sydney
-33.85577
151.210725
null
T000001172
C000356
M01864
2025-01-01 02:41:41
87.62
card_present
null
0
null
5,947
gift_cards
Adelaide
-34.963422
138.62504
4.4
T000001178
C000141
M01047
2025-01-01 02:42:38
10.41
online
D000141-0
0
null
5,942
books
Perth
-31.991951
115.885854
null
T000001224
C000723
M01559
2025-01-01 02:51:31
14.57
online
D000723-0
0
null
5,815
digital_goods
Los Angeles
34.0605
-118.317147
null
T000001287
C000757
M02962
2025-01-01 03:02:58
14.3
card_present
null
0
null
5,814
fast_food
Melbourne
-37.786244
144.971803
2.8
T000001292
C000807
M00078
2025-01-01 03:04:16
191.2
card_present
null
0
null
5,947
gift_cards
Perth
-31.908053
115.944917
9.3
T000001344
C000565
M01868
2025-01-01 03:13:29
641.33
online
D000565-0
0
null
5,732
electronics
Adelaide
-34.924565
138.600715
null
T000001430
C000824
M00355
2025-01-01 03:29:15
66.48
online
D000824-1
0
null
4,900
utilities
Brisbane
-27.608006
152.99895
null
T000001453
C000223
M03552
2025-01-01 03:32:58
7.49
card_present
null
0
null
5,912
pharmacy
Melbourne
-37.885832
145.081692
13.6
T000001461
C000017
M03173
2025-01-01 03:33:43
96.57
card_present
null
0
null
5,691
clothing
Auckland
-36.820299
174.71831
5
T000001463
C000082
M00334
2025-01-01 03:33:49
147.14
online
D000082-1
0
null
5,311
department_store
Sydney
-33.812505
151.170102
null
T000001501
C000301
M02194
2025-01-01 03:40:47
58.28
online
D000301-1
0
null
5,691
clothing
London
51.384961
-0.157927
null
T000001524
C000902
M01751
2025-01-01 03:44:57
38.02
card_present
null
0
null
7,832
cinema
Sydney
-33.883052
151.252353
4.2
T000001569
C000642
M01103
2025-01-01 03:51:24
14.11
online
D000642-2
0
null
5,814
fast_food
Perth
-31.967945
115.924845
null
T000001598
C000017
M03355
2025-01-01 03:56:59
15.41
online
D000017-0
0
null
5,942
books
Singapore
1.371232
103.803093
null
T000001599
C000613
M01233
2025-01-01 03:57:02
782.31
online
D000613-2
0
null
4,511
airline
Adelaide
-34.94125
138.585651
null
T000001601
C000565
M03850
2025-01-01 03:57:06
167.2
card_present
null
0
null
5,732
electronics
Sydney
-33.918779
151.172513
6.4
T000001661
C000317
M02006
2025-01-01 04:05:37
16.62
card_present
null
0
null
5,691
clothing
Brisbane
-27.483129
153.111465
8.2
T000001663
C000892
M00436
2025-01-01 04:05:51
14.91
online
D000892-0
0
null
5,814
fast_food
Sydney
-33.994969
151.200974
null
T000001691
C000199
M02439
2025-01-01 04:10:04
12.01
card_present
null
0
null
5,912
pharmacy
Sydney
-33.924561
151.207493
6.1
T000001711
C000127
M03129
2025-01-01 04:13:44
9.59
online
D000127-0
0
null
4,121
rideshare_taxi
Adelaide
-34.935048
138.56793
null
T000001724
C000242
M00250
2025-01-01 04:15:58
291.94
online
D000242-1
0
null
4,511
airline
Adelaide
-34.907427
138.518838
null
T000001756
C000735
M00698
2025-01-01 04:21:09
66.45
online
D000735-1
0
null
5,947
gift_cards
Perth
-31.961279
115.855886
null
T000001850
C000547
M03997
2025-01-01 04:34:52
114.8
online
D000547-1
0
null
4,900
utilities
Auckland
-36.88481
174.701253
null
T000001853
C000341
M01508
2025-01-01 04:34:59
166.52
online
D000341-0
0
null
4,900
utilities
Auckland
-36.846231
174.780937
null
T000001895
C000043
M03918
2025-01-01 04:41:12
271.66
card_present
null
0
null
5,732
electronics
Adelaide
-34.91385
138.596042
1.8
T000001910
C000321
M00628
2025-01-01 04:44:02
34.12
card_present
null
0
null
5,411
grocery
Auckland
-36.775198
174.729855
8.7
T000001915
C000880
M03977
2025-01-01 04:44:50
170.22
online
D000880-1
0
null
4,511
airline
Sydney
-33.854568
151.195594
null
T000001935
C000660
M01986
2025-01-01 04:48:09
37.34
online
D000660-0
0
null
4,121
rideshare_taxi
Adelaide
-35.039332
138.653254
null
T000001995
C000355
M02287
2025-01-01 04:54:29
582.01
online
D000355-0
0
null
4,511
airline
Adelaide
-34.966759
138.58804
null
T000002044
C000704
M00451
2025-01-01 05:00:02
94.29
online
D000704-1
0
null
4,900
utilities
Auckland
-36.780209
174.720347
null
T000002045
C000428
M00684
2025-01-01 05:00:05
18.93
card_present
null
0
null
5,814
fast_food
Perth
-31.862529
115.942799
12.5
T000002048
C000775
M02251
2025-01-01 05:00:31
8.04
card_present
null
0
null
5,814
fast_food
Sydney
-33.930689
151.222458
6.8
T000002142
C000786
M01826
2025-01-01 05:09:53
33.19
online
D000786-0
0
null
5,942
books
Melbourne
-37.814153
144.907218
null
T000002183
C000299
M00119
2025-01-01 05:15:10
23.51
online
D000299-0
0
null
5,814
fast_food
Melbourne
-37.776755
144.883414
null
T000002206
C000774
M03272
2025-01-01 05:16:59
14.29
online
D000774-0
0
null
5,815
digital_goods
Brisbane
-27.539183
152.991399
null
T000002322
C000025
M02109
2025-01-01 05:29:43
8.26
online
D000025-0
0
null
5,942
books
Brisbane
-27.475043
153.086261
null
T000002331
C000584
M03217
2025-01-01 05:30:46
20.55
online
D000584-1
0
null
5,942
books
Melbourne
-37.792086
145.003182
null
T000002341
C000364
M01606
2025-01-01 05:31:12
8.69
card_present
null
0
null
5,814
fast_food
Adelaide
-34.891744
138.708105
10.7
T000002357
C000946
M03302
2025-01-01 05:32:26
124.22
online
D000946-0
0
null
4,900
utilities
Sydney
-33.731795
151.162362
null
T000002361
C000824
M03257
2025-01-01 05:32:39
9.81
card_present
null
0
null
5,912
pharmacy
Sydney
-33.926529
151.296339
10.1
T000002378
C000749
M02113
2025-01-01 05:33:57
17.78
card_present
null
0
null
5,311
department_store
Sydney
-33.853443
151.219305
2
T000002395
C000658
M01369
2025-01-01 05:35:46
31.81
online
D000658-0
0
null
7,832
cinema
Singapore
1.404464
103.78932
null
T000002421
C000128
M03637
2025-01-01 05:37:34
22.73
card_present
null
0
null
5,814
fast_food
Auckland
-36.798823
174.75875
5.7
T000002494
C000293
M00718
2025-01-01 05:43:52
112.4
card_present
null
0
null
5,732
electronics
Brisbane
-27.44485
153.055149
3.7
T000002511
C000369
M01181
2025-01-01 05:44:53
511.43
online
D000369-0
0
null
7,011
hotel
Auckland
-36.792677
174.781527
null
T000002540
C000203
M00156
2025-01-01 05:47:22
60.94
online
D000203-0
0
null
5,947
gift_cards
Brisbane
-27.496264
152.986353
null
T000002555
C000831
M01695
2025-01-01 05:48:43
20.22
online
D000831-2
0
null
4,121
rideshare_taxi
Tokyo
35.645623
139.691458
null
T000002563
C000903
M02512
2025-01-01 05:49:09
8.43
card_present
null
0
null
5,912
pharmacy
Sydney
-33.983211
151.305413
15.4
T000002588
C000246
M02661
2025-01-01 05:50:50
35.17
card_present
null
0
null
5,541
fuel
Adelaide
-34.884119
138.72598
12.6
T000002614
C000633
M02235
2025-01-01 05:52:47
7.6
online
D000633-0
0
null
5,815
digital_goods
Perth
-31.881282
115.800647
null
T000002672
C000581
M02716
2025-01-01 05:57:30
311.43
online
D000581-2
0
null
7,011
hotel
Brisbane
-27.471164
152.997074
null
T000002718
C000903
M03002
2025-01-01 06:01:43
6.19
online
D000903-0
0
null
5,815
digital_goods
Melbourne
-37.91567
144.998237
null
T000002747
C000851
M00305
2025-01-01 06:04:04
249.7
online
D000851-0
0
null
4,511
airline
Auckland
-36.859887
174.686712
null
T000002753
C000343
M02670
2025-01-01 06:04:51
15.93
card_present
null
0
null
4,121
rideshare_taxi
Adelaide
-34.871212
138.613507
6.7
T000002760
C000455
M02593
2025-01-01 06:05:21
47.93
card_present
null
0
null
5,541
fuel
Adelaide
-35.004823
138.638052
9
T000002794
C000169
M03848
2025-01-01 06:08:11
42.14
online
D000169-2
0
null
5,311
department_store
Auckland
-36.760097
174.746842
null
T000002806
C000086
M03407
2025-01-01 06:09:09
1,096.11
online
D000086-0
0
null
4,511
airline
Melbourne
-37.789375
144.999277
null
T000002835
C000579
M00887
2025-01-01 06:10:46
17.16
online
D000579-0
0
null
5,999
misc_retail
Melbourne
-37.844946
144.867234
null
T000002854
C000654
M00371
2025-01-01 06:12:59
2.24
online
D000654-0
0
null
5,815
digital_goods
Auckland
-36.773541
174.756949
null
T000002875
C000255
M03685
2025-01-01 06:14:49
8.4
online
D000255-0
0
null
5,814
fast_food
Singapore
1.320237
103.867984
null
T000002904
C000242
M02217
2025-01-01 06:16:50
63.37
card_present
null
0
null
5,947
gift_cards
Adelaide
-34.9043
138.643767
4.9
T000002982
C000331
M01177
2025-01-01 06:22:29
22.59
online
D000331-0
0
null
4,121
rideshare_taxi
Adelaide
-34.994606
138.635447
null
T000003045
C000641
M00088
2025-01-01 06:26:34
85.05
card_present
null
0
null
5,311
department_store
Auckland
-36.848955
174.798526
3.4
T000003082
C000622
M01333
2025-01-01 06:29:17
234.1
online
D000622-1
0
null
4,511
airline
Sydney
-33.911504
151.287885
null
T000003084
C000446
M01636
2025-01-01 06:29:22
372.59
online
D000446-0
0
null
5,732
electronics
Brisbane
-27.515062
152.931971
null
T000003094
C000418
M02881
2025-01-01 06:30:03
133.28
online
D000418-1
0
null
5,691
clothing
Brisbane
-27.371135
153.007733
null
T000003163
C000391
M03962
2025-01-01 06:34:30
43.77
card_present
null
0
null
5,947
gift_cards
Adelaide
-34.976724
138.613399
5.3
T000003209
C000401
M02972
2025-01-01 06:37:52
88.29
card_present
null
0
null
5,947
gift_cards
Brisbane
-27.514334
153.075831
6.7
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QM Synthetic Card Fraud Transactions - Free Sample

Buy the full commercial edition: $5 USD -> Polar checkout, instant download
This free sample is non-commercial (CC BY-NC-SA 4.0). The paid full edition has a commercial licence.

Summary

Synthetic credit/debit card transactions with labelled fraud, for training and testing fraud-detection models; the paid full edition can be used commercially.

  • Best for: prototyping fraud models, imbalanced-learning experiments, sequence/graph features, demos without PII
  • Not for: estimating real-world fraud rates or replacing validation on your own transaction data

Quick start

from datasets import load_dataset
ds = load_dataset("quailrobot/card-fraud-v1-sample", split="train")  # main table: transactions_sample.csv
# pandas alternative: pd.read_csv("hf://datasets/quailrobot/card-fraud-v1-sample/transactions_sample.csv")

Facts

  • Task: tabular binary classification (fraud detection) + per-pattern evaluation
  • Labels: is_fraud (0/1); fraud_type = card_testing, account_takeover, geo_impossible, merchant_collusion
  • Full edition size: 10,173,731 transactions, 30,000 customers, 4,000 merchants, 180 days, fraud rate 0.00052 (zip 173.6 MB)
  • Free sample size: 328,875 transactions from 1,000 customers
  • Format: full: Parquet (transactions) + CSV (customers, merchants); sample: CSV
  • What's included (full edition): transactions.parquet, customers.csv, merchants.csv, stats.json, README.md, LICENSE.txt
  • Price: $5 USD; checkout may display the equivalent in your local currency
  • Buy URL (primary): https://buy.polar.sh/polar_cl_4Y8oVxVW5XCXVsar9qt8W0opBgQTPhje1qJFN3erRe4
  • Licence (full edition): LicenseRef-QuailModel-Commercial (commercial use allowed, no resale of the data)
  • Licence (free sample): CC-BY-NC-SA-4.0
  • Validation: Our own test on the full edition: gradient boosting on 9 simple engineered features, time-based split -> ROC-AUC 0.82, PR-AUC 0.57.
  • Data source: 100% synthetic, generated by QuailModel with AI assistance (generator code written with an AI model)
  • Catalog (all QuailModel datasets, catalog.json, llms.txt): https://quailrobot-quailmodel.static.hf.space
  • Last updated: 2026-10-10

Validation

Our own test on the full edition: gradient boosting on 9 simple engineered features, time-based split -> ROC-AUC 0.82, PR-AUC 0.57.

Price & licence

  • Full edition: $5 USD. One-time payment, instant download after checkout: https://buy.polar.sh/polar_cl_4Y8oVxVW5XCXVsar9qt8W0opBgQTPhje1qJFN3erRe4
  • QuailModel Commercial Dataset Licence (SPDX: LicenseRef-QuailModel-Commercial): you may train, evaluate and ship models, including in commercial products. You may not resell or redistribute the dataset itself.
  • Free sample (this page): CC BY-NC-SA 4.0 - free for non-commercial use.

Limitations

  • 100% synthetic: not validated against real card-network data - check on your own data before production.
  • Single currency (USD), 180 days, simulated merchants and cities.

Custom dataset of YOUR object ($249)

Need data of YOUR object? Custom Object-Detection Dataset of Your Object (2,000 images), $249 USD -> order on Polar

  • Note: this is an image / object-detection service (not tabular data).
  • What you get: 2,000 labelled photoreal synthetic images (640x640 JPEG) of your own object or scenario (product, part, tool, drone, package, defect...), up to 3 classes, YOLO bounding boxes + data.yaml, train/val/test split, quality report
  • Licence: commercial use allowed
  • Price: $249 USD one-time; one round of adjustments included
  • Delivery: typically 3-5 business days after we receive your reference photos + rough dimensions
  • Optional sim-to-real test: send ~200 of your own labelled real images and we report how much the synthetic data improves a detector on them
  • Refund: full refund if we cannot deliver your request (14-day refund policy)
  • Limits: only objects you own or are allowed to use; no weapons or anything meant to harm people; no copied third-party 3D assets
  • Order URL: https://buy.polar.sh/polar_cl_AQu6LzRtqiQmKPlgPt0zePBtvWjJI4vULeFMQ4NLHH9
  • Details + contact: https://quailrobot-quailmodel.static.hf.space

This free sample: 328,875 transactions from 1,000 customers. Full commercial edition: 10,173,731 transactions, 30,000 customers, 4,000 merchants, 180 days, fraud rate 0.00052 (zip 173.6 MB). Fully synthetic data; summary, facts, validation and limitations are in the block above.

Files

file content
transactions transaction_id, customer_id, merchant_id, timestamp, amount (USD), channel, device_id, is_fraud, fraud_type, mcc, category, city, lat, lon, km_from_home
customers.csv customer_id, home_city, income_band, age, card_type, account_age_days
merchants.csv merchant_id, mcc, category, city, lat, lon

How it was made

Produced by QuailModel's own simulator, including legitimate activity alongside the labelled patterns. Labels are exact, because they are known by construction.

Credits

No third-party data was used.

Licence

Sample edition: CC BY-NC-SA 4.0 (non-commercial). The full commercial edition is sold by QuailModel (see the buy link).

Disclosure

Generated by QuailModel with AI assistance (generator code written with an AI model); all data is synthetic / computer-generated. Validate on your own real data before production use.

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