Datasets:

criteo
/

CriteoClickLogs

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0	null	516	2	null	null	0	0	2	20	0	null	11,957	2	5c68886a	65a07d43	f66620ee	f2463ffb	c6fc10d3	6fcd6dcb	3580aa21	75893ae5	2e4e821f	0bda1fdf	ac6898a5	12716184	e07cc34d	null	b9df7508	null	null	b8170bba	9512c20b	ab71865f	d9d300b0	14495e74	null	7caf609c	991321ea	b757e957
0	24	274	6	null	14	0	0	59	1	0	3	2,900	14	ad98e872	8af1edc8	4c64221a	c50a1ebd	4ff7b61d	6fcd6dcb	8ff2a107	32204401	a48e16ed	62da11e3	14874876	c32bdf3d	26bb0b02	be4ee537	e99db36c	4cdc3efa	d20856aa	6bf56c26	cc7a7d35	156cbe87	96fbe197	15562d5d	d3df7183	4a301ef0	30436bfc	e1be5ef2
1	null	5	null	null	null	null	null	-1	4	null	null	95	null	176a7778	453d5930	e7b323f1	f2463ffb	be74ba14	6fcd6dcb	e7222fbe	bea438cc	2e4e821f	57a58563	6f8546a7	e98ac709	bf78d0d4	null	e176547d	null	null	b8170bba	9512c20b	d52635ea	9f01c5f9	24b3c725	null	165fbf32	ff654802	962813c6
0	null	18	null	null	null	0	0	1	9	0	null	6,983	null	ad1d2468	4124eb73	de46ba74	3f85ecae	c6fc10d3	6fcd6dcb	9733ef6e	75893ae5	1df5e154	9f606a74	fa478aa9	00e12ed9	405ca118	null	b9df7508	null	null	a1eb1511	9512c20b	545e1454	5dbb708c	b7af96da	null	8157167e	30436bfc	ed10571d
0	8	269	null	91	23	0	0	9	0	0	5	29,092	null	ad98e872	ac4c5591	3d700daa	6faef306	de15f064	6fcd6dcb	082c455e	73f9dacc	a48e16ed	62da11e3	14874876	5b1e5dd7	a77a4a56	be4ee537	c76f0d8a	4cdc3efa	d20856aa	628f1b8d	cc7a7d35	156cbe87	96fbe197	15562d5d	d3df7183	cf5ebe9f	30436bfc	e1be5ef2
0	1	222	1	144	1	0	0	1	5	0	1	14,479	2	04949087	31dccfa1	e38744e7	f2463ffb	664ff944	6fcd6dcb	c73e0cd1	038e402d	46dedfa6	e0f2dc5e	854e94da	12716184	405ca118	null	a286f3c6	null	null	a1eb1511	9512c20b	007c95c3	1ee4f4c3	0834a319	null	a4cdfff3	30436bfc	b757e957
0	2	117	2	23	1	0	0	741	2	0	1	11,564	2	80590864	fe31525e	0b0bca34	f2463ffb	1b892b7d	6fcd6dcb	f31b7aaa	038e402d	2e4e821f	3215ac6d	db51e31a	12716184	a77a4a56	null	a062c7a2	null	null	a1eb1511	9512c20b	dc3a43a0	e4df511a	640a985f	null	6c13b687	30436bfc	b757e957
0	12	279	6	null	null	0	0	0	8	0	null	17,304	6	4f16fda5	ecc9c144	e75b7e69	01f948a4	c6fc10d3	6fcd6dcb	9063da18	3fc31e75	7cee8453	0893a92f	b59debeb	12716184	e07cc34d	null	a02d0e8f	null	null	b7771e51	9512c20b	fcb0b12b	9042617b	d1630562	null	ac898723	ff654802	2ccea557
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0	20	274	4	null	null	0	0	7	0	0	null	2,118	4	ad98e872	cea68cd3	56525bc1	48626877	45460d35	6fcd6dcb	e31287cc	c0375b13	1df5e154	62da11e3	14874876	12716184	a77a4a56	be4ee537	fdc9e405	4cdc3efa	d20856aa	b8170bba	cc7a7d35	156cbe87	96fbe197	15562d5d	d3df7183	717990ce	30436bfc	e1be5ef2
0	4	373	3	null	null	0	0	2	3	0	null	127,388	3	788a5d5b	98e2c109	3cee6ba8	386c49ee	c6fc10d3	919c68e4	4628641f	a66a02fa	1df5e154	16ec16d6	fa478aa9	7abe97d9	a77a4a56	null	ded4997d	null	null	b8170bba	9512c20b	ef426d46	0683bc6f	6e86ac23	null	86c2a370	30436bfc	b757e957
0	319	584	3	null	null	0	0	0	4	0	null	436,633	3	68754f73	7898ef76	1c88fb2c	d9a8ea57	4bc57ef1	919c68e4	8272f6aa	e6c7ef3a	e25a4c11	16f044d1	bc390a2d	f26acb60	a77a4a56	be4ee537	3b35b996	4cdc3efa	753da5f3	b8170bba	9512c20b	bfbdb432	dfdc835f	17a4497a	bb5ce3c6	f92aece3	991321ea	b757e957

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📊 Criteo 1TB Click Logs Dataset

This dataset contains feature values and click feedback for millions of display ads. Its primary purpose is to benchmark algorithms for clickthrough rate (CTR) prediction.

It is similar, but larger than the dataset released for the Display Advertising Challenge hosted by Kaggle:
🔗 Kaggle Criteo Display Advertising Challenge

📁 Full Description

This dataset contains 24 files, each corresponding to one day of data.

🏗️ Dataset Construction

The training data spans 24 days of Criteo traffic.
Each row represents a display ad served by Criteo.
The first column indicates whether the ad was clicked (1) or not clicked (0).
Both positive (clicked) and negative (non-clicked) examples have been subsampled, though at different rates to keep business confidentiality.

🧱 Features

13 integer features
Mostly count-based; represent numerical properties of the ad, user, or context.
26 categorical features
Values are hashed into 32-bit integers for anonymization.
The semantic meaning of these features is undisclosed.

⚠️ Some features may contain missing values.

🧾 Data Format

Rows are chronologically ordered
Columns are tab-separated and follow this schema:

<label> <int_feature_1> ... <int_feature_13> <cat_feature_1> ... <cat_feature_26>
If a value is missing, the field is simply left empty.

🔄 Differences from Kaggle Challenge Dataset

📅 The data covers a different time period
🔄 Subsampling ratios differ
🔢 Ordering of features is different
🧮 Some features have different computation methods
🔐 Hash function for categorical features has changed

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