Datasets:

Jia-py
/

ERASE_Dataset

click int64 0 1	101 int64 0 239k	121 int64 0 97	122 int64 0 13	124 int64 0 2	125 int64 0 7	126 int64 0 3	127 int64 0 3	128 int64 0 2	129 int64 0 4	205 int64 0 467k	206 int64 0 6.93k	207 int64 0 264k	210 int64 0 80.2k	216 int64 0 106k	508 int64 0 5.89k	509 int64 0 105k	702 int64 0 51.9k	853 int64 0 37.1k	301 int64 1 3	109_14 int64 0 5.85k	110_14 int64 0 106k	127_14 int64 0 53.8k	150_14 int64 0 31.9k	D109_14 float64 0 1	D110_14 float64 0 1	D127_14 float64 0 1	D150_14 float64 0 0.96	D508 float64 0 0.97	D509 float64 0 0.99	D702 float64 0 1	D853 float64 0 1
0	0	1	6	1	4	0	1	1	0	39,174	2,892	35,156	46,829	0	0	0	0	0	1	60	902	2,210	1,793	0.3667	0.09235	0.0856	0.1273	0	0	0	0
1	112,419	1	5	1	2	0	3	1	0	8,552	90	8,436	1,662	0	55	0	0	476	3	157	160	8,316	70	0.1323	0.277	0.0856	0.518	0.4307	0	0	0.1306
0	7,450	1	5	1	2	0	2	1	4	61,937	9	18,081	4,041	0	7	0	0	0	3	81	742	6	99	0.1938	0.09235	0.2212	0.313	0.1953	0	0	0
0	0	22	8	1	5	1	1	1	1	407,189	6	44,512	7,150	0	5	70,589	0	184	1	278	3,734	5,359	27	0.0835	0.277	0.0856	0.04523	0.455	0.179	0	0.10974
0	64,241	1	6	1	4	0	1	1	4	28,805	9	26,495	19	0	7	0	0	177	1	6	29,335	217	43	0.1323	0.09235	0.1986	0.153	0.512	0	0	0.2754
0	84,284	1	7	2	4	0	1	1	4	5,419	1,092	5,381	4,136	3,233	594	0	0	2,574	3	453	16,303	27	93	0.0835	0.09235	0.0856	0.1231	0.11975	0	0	0.0752
0	112,449	8	1	1	1	1	1	1	2	249,701	76	168,429	14,020	73,447	48	0	0	13,657	3	4	8,078	302	235	0.4172	0.09235	0.0856	0.1799	0.367	0	0	0.2383
0	101,859	1	1	1	1	0	1	1	2	245,587	866	166,306	3,148	66,116	470	55,968	30,801	0	1	278	0	525	11,628	0.0835	0.09235	0.0856	0.2524	0.11975	0.0771	0.1263	0
0	0	1	8	1	5	0	1	1	2	211,508	226	47,345	1,141	329	132	47,614	622	0	3	45	2,619	998	165	0.334	0.1464	0.0856	0.6562	0.2268	0.1222	0.1263	0
0	69,821	0	0	0	0	0	0	0	0	460,688	559	64,175	24,847	949	783	0	0	14,690	3	133	9,474	512	4,229	0.2505	0.09235	0.0856	0.4177	0.2954	0	0	0.3088
0	0	1	1	1	1	0	1	1	2	45,497	1,026	27,460	57,734	14,889	0	0	0	0	1	79	28,987	1,746	1,049	0.0835	0.09235	0.0856	0.3909	0	0	0	0
0	0	1	5	1	2	0	1	1	0	44,273	417	8,518	20,338	5,015	0	0	0	0	1	2,942	34,238	920	70	0.0835	0.5337	0.1356	0.6675	0	0	0	0
0	0	21	3	2	1	1	1	1	4	32,338	400	29,438	18,444	0	0	0	0	0	1	455	6,690	10,203	232	0.1323	0.09235	0.0856	0.1687	0	0	0	0
0	157,951	1	7	2	4	0	1	1	0	32,678	2,317	29,742	17,845	13,041	1,451	0	0	7,169	3	6	160	702	43	0.0835	0.09235	0.0856	0.1902	0.11975	0	0	0.221
0	54,297	1	1	1	1	0	1	1	3	268,226	76	10,809	1,431	0	0	3,239	0	0	3	7	22,665	2,963	62	0.0835	0.2593	0.0856	0.3977	0	0.2764	0	0
0	0	0	0	0	0	0	0	0	0	0	2,008	0	42,989	8,657	0	0	0	0	3	37	8,218	2,388	6,247	0.2158	0.09235	0.2402	0.1626	0	0	0	0
0	225,424	17	11	1	6	3	1	1	2	46,968	421	41,285	2,164	21,525	221	9,171	6,346	3,631	3	1,187	1,547	407	1	0.0835	0.1847	0.0856	0.4182	0.3418	0.0771	0.0797	0.3591
0	221,597	0	0	0	0	0	0	0	0	0	5	1,071	14,141	52	4	197	17	709	3	359	11,633	40,064	1	0.3608	0.1464	0.0856	0.1461	0.566	0.3623	0.391	0.4873
0	0	1	5	1	2	0	1	1	3	0	241	32,214	75,523	586	0	0	0	0	3	510	0	48,534	1,207	0.1323	0.1464	0.4155	0.010345	0	0	0	0
0	0	1	7	2	4	0	3	1	0	355,988	22	220,165	209	0	15	0	0	0	3	1,106	0	0	48	0.0835	0.1464	0.0856	0.1312	0.07556	0	0	0
0	0	23	6	1	4	1	1	1	3	2,604	560	2,631	2,186	1,646	313	0	0	4,197	3	669	30,192	2,196	79	0.2344	0.09235	0.1356	0.2067	0.1754	0	0	0.2278
0	127,206	64	1	1	1	1	2	1	4	17,654	893	16,782	22,279	9,526	0	0	0	0	3	3	0	28,343	2,374	0.4316	0.09235	0.1356	0.1312	0	0	0	0
0	131,607	17	11	1	6	3	1	1	1	0	1,118	240,999	11,563	0	0	0	0	0	1	0	0	0	20,869	0	0	0	0.08997	0	0	0	0
0	40,984	1	1	1	1	0	1	1	0	403,536	910	50,052	38,134	0	0	0	0	0	3	6	12,692	1,465	93	0.1323	0.09235	0.1986	0.4185	0	0	0	0
0	0	1	7	2	4	0	1	1	2	134,387	269	65,660	20,042	32,474	0	0	0	0	3	1,353	1,816	1,695	305	0.0835	0.09235	0.2566	0.0786	0	0	0	0
0	153,809	1	5	1	2	0	2	1	0	34,894	19	25,977	323	14,193	57	0	0	4,092	1	60	27,501	282	1	0.1323	0.09235	0.0856	0.2683	0.569	0	0	0.4146
0	9,106	1	7	2	4	0	1	1	0	10,758	9	10,503	70	6,065	7	0	0	0	1	172	45,435	1,811	2,557	0.3967	0.3694	0.0856	0.2874	0.3418	0	0	0
0	216,104	47	5	1	2	1	1	1	3	0	242	0	8,499	64,412	148	0	0	594	3	84	577	869	38	0.0835	0.09235	0.0856	0.0786	0.251	0.1993	0	0.1064
0	181,361	1	6	1	4	3	1	1	0	9,306	17	9,182	6,502	0	13	0	0	7	1	278	7,448	725	870	0.0835	0.09235	0.2566	0.2251	0.332	0	0	0.364
0	0	1	6	1	4	1	1	1	0	173,744	1,172	127,475	88	57,910	0	0	0	0	1	20	20,227	1,112	874	0.0835	0.09235	0.1711	0.2251	0	0	0	0
0	231,809	1	6	1	4	0	3	1	0	22,626	51	21,124	905	7,526	31	0	0	0	3	38	1,616	38,613	2,122	0.3179	0.1847	0.0856	0.515	0.2268	0	0	0
0	0	1	3	2	1	0	2	1	0	59,452	3,135	44,736	27,432	23,111	0	0	0	0	3	612	21,735	10,715	673	0.0835	0.1847	0.0856	0.1461	0	0	0	0
0	72,819	1	1	1	1	1	1	1	0	146,139	1,228	111,481	15,563	51,665	0	0	0	0	3	20	3,253	5,227	1,546	0.4412	0.09235	0.0856	0.1799	0	0	0	0
0	137,311	23	6	1	4	1	1	1	4	68,410	8	58,282	10	0	6	0	0	0	3	53	18,972	158	343	0.0835	0.1464	0.0856	0.5264	0.11975	0	0	0
0	132,259	1	6	1	4	0	2	1	0	126,652	72	41,349	5,201	0	0	0	0	0	3	7	1,165	55	43	0.1938	0.09235	0.0856	0.1312	0	0	0	0
0	213,784	15	8	1	5	3	1	1	3	146,065	1,200	73,084	2,894	0	0	0	0	0	1	10	160	995	43	0.0835	0.09235	0.0856	0.06635	0	0	0	0
0	0	57	6	1	4	3	1	1	1	251,407	226	169,317	3,165	73,760	132	0	0	2,195	3	20	7,937	826	349	0.0835	0.277	0.0856	0.404	0.2795	0	0	0.3008
0	0	45	6	1	4	3	1	1	2	64,270	9	55,061	38	27,791	0	0	0	0	1	93	70,122	41,453	914	0.0835	0.09235	0.2212	0.02896	0	0	0	0
0	191,444	1	5	1	2	0	1	1	2	0	1,620	171,953	21,477	0	0	0	0	0	3	67	61,994	1,029	344	0.167	0.3694	0.1986	0.6084	0	0	0	0
0	124,496	53	5	1	2	2	1	1	2	56,840	501	49,144	38,763	3,210	745	0	0	0	3	11	23,438	1,813	222	0.2344	0.09235	0.0856	0.3516	0.11975	0	0	0
0	0	1	3	2	1	1	1	1	0	26,565	49	24,580	8,809	13,509	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0
0	227,786	1	5	1	2	0	2	1	0	192,294	24	1,073	8,105	0	16	198	0	17	1	60	594	2,110	38	0.0835	0.09235	0.1356	0.3936	0.6113	0.545	0	0.453
0	0	23	6	1	4	1	1	1	4	58,992	868	50,860	7,148	21,728	472	0	11,340	0	1	26	4,021	290	1,264	0.299	0.09235	0.0856	0.2089	0.11975	0	0.1263	0
0	0	12	7	2	4	3	1	1	4	241,004	8	96,735	999	0	6	0	0	133	3	37	22,836	390	535	0.0835	0.09235	0.0856	0.3962	0.3906	0	0	0.283
0	81,254	0	0	0	0	0	0	0	0	55,342	29	33,262	1,850	17,760	19	0	0	0	3	755	5,115	29	43	0.1938	0.09235	0.3066	0.2251	0.07556	0	0	0
0	0	1	6	1	4	0	1	1	4	0	417	29,409	34,272	62	218	37,325	19	0	3	49	799	3,870	42	0.167	0.09235	0.0856	0.2644	0.07556	0.0771	0.206	0
0	17,125	1	6	1	4	0	1	1	3	12,590	62	12,112	3,071	0	37	0	0	942	3	198	5,323	55	458	0.2158	0.09235	0.0856	0.1052	0.3088	0	0	0.2045
0	0	0	0	0	0	0	0	0	0	142,945	16	109,543	39,346	3,475	12	0	18,714	1,800	1	294	1,246	338	161	0.0835	0.09235	0.1356	0.07263	0.2268	0.179	0.185	0.06573
0	0	6	1	1	1	1	1	1	3	375,246	225	189,041	35,506	0	434	0	0	859	3	122	36,582	7,130	99	0.0835	0.2144	0.0856	0.1351	0.11975	0	0	0.141
0	119,965	1	1	1	1	0	3	1	0	90,426	2,586	25,787	15,722	14,098	0	0	0	0	3	1,666	93,131	19,585	2,860	0.167	0.09235	0.0856	0.08997	0	0	0	0
0	66,574	21	3	2	1	1	1	1	4	0	1	29,222	1,468	15,748	1	10,174	6,942	387	3	6	8,611	796	6	0.2158	0.1464	0.0856	0.4321	0.4219	0.3276	0.3445	0.3909
0	185,565	1	6	1	4	0	1	1	2	433,434	2,754	252,364	48,751	0	0	0	0	0	3	6	70,029	1,054	37	0.2888	0.09235	0.0856	0.4844	0	0	0	0
0	186,165	15	8	1	5	1	1	1	3	71,565	241	39,095	2,373	30,213	147	0	0	458	1	16	7,873	865	944	0.2505	0.09235	0.0856	0.1426	0.488	0	0	0.2754
0	0	1	2	2	2	0	1	1	0	0	271	49,745	29,665	0	0	15,079	0	0	3	53	294	1,836	38	0.1323	0.09235	0.0856	0.08997	0	0.3013	0	0
0	191,657	0	0	0	0	0	0	0	0	346,831	748	27,110	15,146	0	0	0	0	0	3	80	62,041	13,121	37	0.0835	0.2593	0.1711	0.2656	0	0	0	0
0	216,613	1	5	1	2	0	2	1	0	5,376	24	61	675	42	16	0	0	0	3	2	1	1,463	37	0.1323	0.2144	0.2566	0.5566	0.2268	0	0	0
0	0	1	7	2	4	0	2	1	0	240,773	858	163,845	37,722	71,803	653	0	0	4,200	3	755	6,251	150	1,531	0.167	0.1464	0.0856	0.2395	0.07556	0	0	0.0752
0	81,297	1	1	1	1	0	1	1	4	0	18	98,399	43	33	14	29,414	11	0	3	169	17,931	1,697	36	0.1323	0.09235	0.0856	0.1771	0.1754	0.2666	0.265	0
0	0	44	5	1	2	1	1	1	2	47,092	3,160	41,389	36,144	5,888	0	0	0	0	3	169	23,942	9,647	5,558	0.0835	0.09235	0.1356	0.0373	0	0	0	0
0	87,579	1	6	1	4	0	1	1	0	237,915	67	100,667	3,617	1,108	40	0	0	1,155	3	43	7,177	282	161	0.1323	0.09235	0.0856	0.0596	0.3552	0	0	0.1458
0	0	21	3	2	1	1	1	1	4	56,162	17	24,006	225	13,205	0	4,799	3,580	0	3	144	5,124	41,290	27	0.167	0.09235	0.0856	0.0786	0	0.1993	0.206	0
0	112,535	0	0	0	0	0	0	0	0	39,575	202	35,457	1,588	0	0	0	0	0	3	582	160	639	837	0.0835	0.09235	0.0856	0.1351	0	0	0	0
0	35,456	1	6	1	4	0	1	1	2	631	202	691	1,586	52	117	0	17	415	3	44	45,712	12,018	4,612	0.334	0.4387	0.0856	0.1461	0.5	0	0.412	0.2717
0	0	1	3	2	1	0	1	1	0	140,528	103	107,998	4,179	209	0	0	0	0	3	2,553	23,094	474	172	0.0835	0.1464	0.1356	0.3447	0	0	0	0
0	100,574	0	0	0	0	0	0	0	0	8,696	1,129	8,572	45,383	5,052	0	0	0	0	1	53	39,943	9,922	25	0.0835	0.2593	0.2212	0.10034	0	0	0	0
0	3,339	1	1	1	1	0	1	1	1	72,073	8	47,534	170	0	6	0	0	262	1	53	80,041	270	1,262	0.299	0.1847	0.1356	0.0786	0.381	0	0	0.1359
0	98,961	23	6	1	4	1	1	1	3	35,159	263	864	837	0	164	6,685	0	5,990	1	134	1,705	593	584	0.0835	0.09235	0.0856	0.2556	0.3936	0.4075	0	0.2695
0	0	1	8	1	5	0	1	1	2	31,733	90	17,547	2,911	9,932	55	0	0	878	1	81	723	2,672	1	0.1938	0.09235	0.1986	0.4897	0.4985	0	0	0.2322
0	34,759	46	1	1	1	3	1	1	2	7,066	23	7,008	54	0	110	0	0	138	3	60	1,058	5	27	0.2344	0.3193	0.2402	0.0596	0.2876	0	0	0.167
0	221,240	0	0	0	0	0	0	0	0	346,906	73	149,279	1,255	0	45	0	0	547	3	60	8,045	210	301	0.528	0.09235	0.1986	0.1562	0.6543	0	0	0.533
0	32,084	1	6	1	4	1	1	1	0	0	26	73,882	63,212	36,136	17	18,605	11,994	149	3	21	82	1,539	37	0.0835	0.385	0.0856	0.8164	0.4663	0.2852	0.276	0.1865
0	85,758	1	3	2	1	3	1	1	0	35,098	6	31,804	44	0	5	0	0	0	3	1,321	6,979	1,978	1	0.2646	0.2386	0.0856	0.1626	0.2395	0	0	0
0	138,382	1	3	2	1	0	3	1	0	411,480	24	243,460	2,908	0	16	0	0	150	3	23	60,154	28,963	1,634	0.1323	0.09235	0.1356	0.0596	0.3088	0	0	0.34
0	199,047	1	3	2	1	0	3	1	0	62,631	247	53,740	1,476	27,232	0	0	0	0	3	84	3,906	1,220	422	0.0835	0.1464	0.1356	0.3394	0	0	0	0
0	234,538	1	11	1	6	0	1	1	0	19,876	202	1,073	655	0	117	198	0	0	1	412	1,047	27	30	0.0835	0.09235	0.0856	0.1902	0.2268	0.2852	0	0
1	0	0	0	0	0	0	0	0	0	45,085	1,323	15,016	32,636	20,892	744	0	0	1,262	3	151	16,640	30,792	13,143	0.3179	0.09235	0.0856	0.2477	0.5347	0	0	0.3188
0	0	1	1	1	1	0	1	1	2	1,744	494	1,774	1,157	1,117	0	0	0	0	1	45	621	40	315	0.0835	0.09235	0.0856	0.2089	0	0	0	0
0	0	23	6	1	4	1	1	1	4	68,539	52	20,563	1,665	11,466	32	0	0	0	3	334	12,512	5,120	37	0.167	0.3513	0.2842	0.3726	0.2395	0	0	0
0	0	11	6	1	4	1	1	1	2	204,942	880	137,052	10,104	61,662	478	0	0	0	1	622	0	217	132	0.1323	0.09235	0.0856	0.1562	0.2268	0	0	0.03117
0	205,208	45	6	1	4	3	1	1	2	29,237	202	26,878	1,529	50	117	92,792	16	145	3	45	27,656	801	37	0.1323	0.09235	0.1356	0.6016	0.6074	0.1542	0.326	0.4465
0	19,284	1	6	1	4	0	1	1	0	94,222	284	66,734	989	37,720	172	0	0	1,419	1	733	12,052	423	21	0.2888	0.09235	0.1356	0.1389	0.3875	0	0	0.1306
0	48,178	1	6	1	4	0	2	1	0	19,939	202	18,852	2,602	10,607	117	0	0	2,638	3	38	1,072	293	909	0.4014	0.09235	0.0856	0.2494	0.3022	0	0	0.2905
0	0	1	6	1	4	3	1	1	0	70,065	229	59,650	3,534	0	135	0	0	961	3	570	2,234	2,101	459	0.167	0.09235	0.0856	0.1231	0.2395	0	0	0.2666
0	30,860	8	1	1	1	1	1	1	2	264,013	620	175,595	19,346	1,587	432	0	1,011	0	3	66	1,331	417	93	0.334	0.09235	0.0856	0.3865	0.07556	0	0.0797	0
0	0	1	5	1	2	0	1	1	2	51,540	2,317	10,043	22,401	0	0	0	0	0	3	38	164	3,174	115	0.1938	0.09235	0.2402	0.2751	0	0	0	0
0	23,450	47	5	1	2	2	1	1	3	0	308	0	34,576	0	190	0	0	0	3	248	6,271	9,651	10	0.0835	0.09235	0.0856	0.66	0.2268	0	0	0
0	9,013	6	1	1	1	2	1	1	3	68,935	90	31,814	2,440	0	55	0	0	204	1	425	14,320	2,312	20	0.0835	0.3193	0.0856	0.386	0.4407	0	0	0.09186
0	235,188	28	6	1	4	3	1	1	4	0	284	117,817	8,580	8,035	172	0	2,095	3,863	3	487	506	13,031	37	0.0835	0.09235	0.0856	0.317	0.3152	0.179	0.185	0.2603
0	32,915	6	1	1	1	1	1	1	3	0	118	100,951	10,983	47,431	701	0	0	9,539	3	100	8,338	8,823	4,483	0.3179	0.277	0.0856	0.4612	0.1511	0	0	0.1481
0	169,948	46	1	1	1	3	1	1	1	106,551	76	86,061	4,954	0	0	0	0	0	1	591	13,021	6,314	3,997	0.2158	0.1464	0.2212	0.1799	0	0	0	0
0	0	1	11	1	6	0	1	1	0	26,039	62	24,117	636	0	37	0	0	245	3	38	1,558	339	43	0.2344	0.09235	0.0856	0.1799	0.1754	0	0	0.1943
0	141,123	28	6	1	4	3	1	1	4	4,141	901	29	16,841	19	0	0	0	0	3	688	8,112	1,810	14	0.167	0.2386	0.0856	0.10034	0	0	0	0
0	0	1	10	2	6	0	2	1	0	70,319	34	59,795	1,663	0	21	0	0	457	3	43	2,272	338	4,716	0.0835	0.1464	0.1356	0.07263	0.2268	0	0	0.09186
0	33,064	1	7	2	4	0	1	1	0	225,966	417	54,685	19,849	0	0	0	0	0	3	85	747	291	756	0.4636	0.09235	0.0856	0.1562	0	0	0	0
0	0	1	8	1	5	0	1	1	1	71,270	3	9,573	1,497	5,555	0	0	0	0	1	465	785	26,631	1,674	0.1323	0.09235	0.0856	0.2988	0	0	0	0
0	0	1	3	2	1	0	1	1	2	327,666	6	44,787	16,862	449	5	0	0	4,704	3	60	32	302	43	0.4827	0.1847	0.3972	0.1273	0.455	0	0	0.2002
0	56,331	1	11	1	6	0	2	2	2	15,147	90	3,873	1,510	2,328	55	1,478	1,213	0	3	24	4,692	1,095	1	0.1938	0.4656	0.1356	0.5825	0.3464	0.179	0.185	0
0	77,321	1	7	2	4	0	1	1	4	151,658	514	114,599	1,654	1,680	0	0	0	0	3	93	4,578	6,404	148	0.0835	0.4119	0.0856	0.326	0	0	0	0
0	97,827	58	2	2	2	2	1	1	3	25,503	814	5,484	4,541	3,284	627	0	0	0	3	1,448	51,803	48,385	7,946	0.0835	0.09235	0.0856	0.010345	0.07556	0	0	0
0	52,638	8	1	1	1	1	1	1	2	120,023	6	94,913	1,006	4,719	5	0	1,163	0	1	751	6,981	297	43	0.0835	0.09235	0.1986	0.04523	0.321	0	0.0797	0

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If you find our work useful, please consider citing our paper below. Thank you!

@inproceedings{jia2024erase,
  title={ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems},
  author={Jia, Pengyue and Wang, Yejing and Du, Zhaocheng and Zhao, Xiangyu and Wang, Yichao and Chen, Bo and Wang, Wanyu and Guo, Huifeng and Tang, Ruiming},
  booktitle={Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={5194--5205},
  year={2024}
}

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