csv2.7 MB
Large Transactions Dataset (CSV, 50k rows)
A 50,000-row transactions dataset — an in-repo 'large' fixture for testing streaming CSV parsers, import performance, and pagination. Deterministic (fixed seed).
Preview — first 50 linescsv
txn_id,timestamp,account,amount,currency,category
1,2025-11-07T22:13:25Z,ACCT-2610,60.14,EUR,transfer
2,2025-01-30T03:17:37Z,ACCT-4334,159.57,CAD,healthcare
3,2025-09-15T02:47:03Z,ACCT-9145,75.96,CAD,travel
4,2025-02-05T22:34:05Z,ACCT-3684,180.02,GBP,dining
5,2025-04-14T02:41:32Z,ACCT-6722,-21.37,USD,entertainment
6,2025-08-24T06:11:55Z,ACCT-8432,-100.94,EUR,salary
7,2025-02-27T09:25:08Z,ACCT-3500,-343.61,CAD,entertainment
8,2025-02-03T10:25:15Z,ACCT-4877,-58.07,CAD,groceries
9,2025-06-20T00:34:05Z,ACCT-5028,456.15,USD,utilities
10,2025-06-24T07:21:15Z,ACCT-6353,-307.5,GBP,salary
11,2025-12-19T03:04:28Z,ACCT-2884,337.86,USD,salary
12,2025-06-19T01:09:32Z,ACCT-9520,-221.38,GBP,transfer
13,2025-06-03T02:22:00Z,ACCT-9103,-114.35,EUR,travel
14,2025-05-31T08:12:55Z,ACCT-3824,51.11,USD,travel
15,2025-06-06T03:44:01Z,ACCT-3050,361.08,EUR,entertainment
16,2025-08-17T17:25:21Z,ACCT-2699,545.87,CAD,entertainment
17,2025-06-14T13:00:17Z,ACCT-6592,787.73,GBP,transfer
18,2025-11-09T08:38:06Z,ACCT-5229,-165.96,CAD,entertainment
19,2025-12-09T04:48:05Z,ACCT-4746,-5.41,USD,healthcare
20,2025-11-15T18:34:25Z,ACCT-5673,322.02,GBP,transfer
21,2025-04-21T19:19:30Z,ACCT-1840,-138.9,EUR,dining
22,2025-05-09T19:11:16Z,ACCT-1528,-242.07,GBP,travel
23,2025-09-26T23:47:53Z,ACCT-3827,323.32,GBP,transfer
24,2025-03-11T10:11:37Z,ACCT-7967,-304.22,CAD,dining
25,2025-12-17T16:14:56Z,ACCT-6587,-174.69,USD,dining
26,2025-04-09T16:06:10Z,ACCT-1212,279.99,CAD,salary
27,2025-02-07T06:29:15Z,ACCT-7045,-163.03,USD,groceries
28,2025-05-12T10:36:42Z,ACCT-1115,381.86,CAD,transfer
29,2025-07-22T23:40:15Z,ACCT-6411,-157.75,GBP,dining
30,2025-04-21T17:33:06Z,ACCT-9264,93.29,EUR,dining
31,2025-03-31T08:10:11Z,ACCT-8088,-49.0,USD,travel
32,2025-01-26T08:49:53Z,ACCT-5913,147.0,CAD,utilities
33,2025-10-08T04:31:00Z,ACCT-6393,-320.39,EUR,utilities
34,2025-10-15T21:16:09Z,ACCT-6538,-95.59,USD,healthcare
35,2025-05-03T04:36:27Z,ACCT-1609,-261.71,GBP,healthcare
36,2025-05-12T18:13:05Z,ACCT-6654,236.8,USD,travel
37,2025-08-08T05:14:11Z,ACCT-4043,49.46,CAD,utilities
38,2025-06-22T01:05:19Z,ACCT-3519,121.84,EUR,groceries
39,2025-12-05T01:56:32Z,ACCT-5992,-572.01,CAD,entertainment
40,2025-12-26T19:58:58Z,ACCT-6935,-6.79,GBP,salary
41,2025-10-11T18:50:03Z,ACCT-3867,191.2,USD,groceries
42,2025-06-15T18:44:02Z,ACCT-6967,279.63,EUR,transfer
43,2025-05-03T14:50:51Z,ACCT-6024,259.75,CAD,travel
44,2025-07-13T17:12:35Z,ACCT-7704,53.07,USD,utilities
45,2025-06-16T15:46:28Z,ACCT-6850,-265.08,CAD,healthcare
46,2025-12-01T05:00:29Z,ACCT-4093,204.63,GBP,entertainment
47,2025-07-11T15:51:24Z,ACCT-4683,526.65,USD,salary
48,2025-05-16T20:56:40Z,ACCT-9670,-247.89,USD,groceries
49,2025-08-29T00:03:57Z,ACCT-4308,-354.24,CAD,salary… 1181 lines total — download for the full file.
Specifications
- Rows
- 50000
- Schema
- txn_id, timestamp, account, amount, currency, category
- Note
- in-repo large fixture
- Domain
- finance
What is a .csv file?
CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.
How to use this file
Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.
Related files
- csvE-commerce Customers (CSV, 500 rows)A realistic e-commerce customer directory (500 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- jsonE-commerce Customers (JSON, 500 records)The e-commerce customers table as a JSON array — the format twin of the CSV, for import and conversion testing.
- sqlE-commerce Database Schema (SQL)A relational SQL schema (products, customers, orders with primary and foreign keys) plus sample INSERTs — the DDL twin of the e-commerce dataset, for testing schema import and migrations.
- csvE-commerce Orders (CSV, 2000 rows)A realistic e-commerce order lines (customer_id → customers, product_id → products) (2000 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
- jsonE-commerce Orders (JSON, 2000 records)The e-commerce orders table as a JSON array — the format twin of the CSV, for import and conversion testing.
- csvE-commerce Products (CSV, 200 rows)A realistic e-commerce product catalogue (200 rows) — part of a relational dataset (products, customers, orders) with CSV, JSON, SQL, and Parquet twins for testing joins, imports, and conversion.
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