Datasets:

mauriciogtec
/

TRESNET-KDD

Unnamed: 0 int64 1 984	treat int64 0 1	bw int64 540 2.5k	b.head float64 20 36	preterm int64 2 15	birth.o int64 1 4	nnhealth int64 17 137	momage int64 14 43	sex int64 0 1	twin int64 0 1	b.marr int64 0 1	mom.lths int64 0 1	mom.hs int64 0 1	mom.scoll int64 0 1	cig int64 0 1	first int64 1 2	booze int64 0 1	drugs int64 0 1	work.dur int64 0 1	prenatal int64 0 1	ark int64 0 1	momwhite int64 0 1	momblack int64 0 1
1	1	1,559	28.648521	10	2	94	33	1	0	1	0	0	0	0	1	0	1	1	1	1	1	0
3	0	1,000	25	8	4	89	33	0	0	0	1	0	0	1	1	1	1	1	1	1	0	1
4	0	1,430	29	6	1	112	22	0	0	0	1	0	0	0	2	0	1	0	1	1	0	1
5	0	1,984	31	2	1	99	20	0	0	0	0	0	1	1	2	0	1	0	1	1	0	1
6	0	1,320	28	7	2	110	23	1	0	0	0	0	1	1	1	0	1	1	1	1	0	1
8	0	2,020	29	5	2	100	37	1	0	0	1	0	0	1	1	0	1	1	1	1	1	0
10	0	2,041	31	9	3	98	41	1	0	1	1	0	0	0	1	0	1	1	1	1	1	0
11	0	1,320	26.162501	10	1	110	27	1	0	1	0	0	0	0	2	0	1	1	1	1	1	0
12	0	2,150	32	7	3	87	30	1	0	1	1	0	0	0	1	0	1	1	1	1	0	1
13	0	1,620	28	8	2	109	22	0	0	0	1	0	0	0	1	0	1	1	1	1	0	1
15	0	1,814	30	7	2	98	35	0	0	0	0	0	1	1	1	0	1	1	1	1	1	0
16	0	1,280	28	10	2	106	26	0	0	1	0	1	0	0	1	0	1	1	1	1	0	1
17	0	1,210	26	10	1	100	18	1	0	0	0	1	0	0	2	0	1	0	1	1	0	1
18	0	2,296	32.539863	7	1	99	25	1	0	1	1	0	0	0	2	0	1	1	1	1	1	0
21	0	1,670	30	7	1	104	18	0	0	0	1	0	0	1	2	0	1	0	1	1	0	1
22	0	2,030	31	5	2	131	18	1	0	0	1	0	0	0	1	0	1	0	1	1	0	1
23	0	2,030	32	5	2	125	23	1	1	0	0	0	1	1	1	1	1	0	1	1	0	1
24	0	1,840	29	8	1	81	18	1	1	0	0	1	0	1	2	0	1	0	1	1	0	1
26	1	2,330	32	9	2	89	26	1	0	0	1	0	0	1	1	0	1	1	1	1	1	0
27	0	1,310	28	9	2	102	28	0	0	1	0	0	1	0	1	0	1	1	1	1	0	1
28	0	2,350	33	6	4	93	23	0	1	1	0	1	0	0	1	0	1	1	1	1	0	1
29	0	1,990	31	4	1	103	25	1	0	1	0	0	1	0	2	0	1	1	1	1	0	1
30	1	2,410	33	3	3	90	20	0	0	1	1	0	0	1	1	1	1	0	1	1	1	0
31	0	1,400	28	8	4	109	34	0	0	1	0	1	0	0	1	0	1	1	1	1	0	1
32	0	1,950	30	6	3	101	29	1	1	0	0	1	0	0	1	0	1	1	1	1	0	1
33	0	1,990	30	6	1	101	26	1	0	0	0	0	1	0	2	0	1	1	1	1	1	0
34	1	1,776	28	6	2	83	23	0	0	1	0	1	0	0	1	0	1	1	1	1	1	0
35	0	1,750	33	8	2	58	28	0	0	1	0	0	1	0	1	0	1	0	1	1	1	0
39	0	2,369	35	3	1	92	32	0	0	1	0	0	1	0	2	0	1	1	1	1	1	0
40	0	2,250	30	6	1	113	15	0	0	0	1	0	0	0	2	0	1	0	1	1	0	1
41	0	2,210	31	6	2	85	33	1	0	1	0	1	0	0	1	0	1	1	1	1	1	0
42	0	1,770	31	5	4	128	29	1	0	0	0	1	0	1	1	0	1	0	1	1	0	1
43	0	730	22	12	1	98	22	1	0	1	0	0	1	0	2	0	1	1	1	1	1	0
44	0	870	25	12	3	99	18	1	1	0	0	1	0	1	1	0	1	0	1	1	0	1
45	0	1,510	28	10	2	100	26	1	1	1	0	0	1	0	1	0	1	1	1	1	1	0
46	0	2,360	33	3	2	103	20	0	0	1	0	1	0	0	1	0	1	1	1	1	0	1
47	0	2,500	30	3	2	88	28	1	0	1	1	0	0	0	1	0	1	0	1	1	1	0
48	0	1,880	30	4	4	109	34	1	0	1	0	0	1	0	1	0	1	1	1	1	0	1
49	0	2,220	32	7	2	87	23	0	0	1	0	1	0	0	1	0	1	1	1	1	1	0
50	0	2,490	32	6	2	80	24	1	0	1	0	1	0	1	1	1	1	0	1	1	1	0
51	0	2,350	28	6	4	99	21	1	0	1	0	1	0	0	1	0	1	0	1	1	0	1
53	1	910	25	12	1	84	22	1	0	1	0	1	0	1	2	0	1	1	1	1	1	0
54	1	2,445	32	5	3	98	32	0	0	0	1	0	0	1	1	0	1	1	1	1	1	0
56	1	2,180	31	6	1	87	29	1	0	1	1	0	0	0	2	0	1	0	1	1	1	0
58	1	1,786	31	8	2	42	25	0	0	1	0	0	0	0	1	0	1	1	1	1	1	0
59	0	2,160	32	6	2	118	25	1	0	1	0	1	0	0	1	0	1	1	1	1	1	0
60	0	1,928	30	8	2	89	34	1	0	1	0	0	1	0	1	0	1	1	1	1	1	0
61	0	1,750	29	5	2	99	17	1	1	0	1	0	0	0	1	0	1	0	1	1	0	1
62	0	1,590	29	10	3	83	19	1	0	1	1	0	0	1	1	0	1	0	1	1	1	0
63	1	2,350	32	6	1	113	18	1	0	0	1	0	0	1	2	0	1	0	1	1	1	0
64	1	2,250	33	7	2	99	19	0	0	0	1	0	0	1	1	0	1	0	1	1	1	0
65	0	1,890	31	9	1	81	20	1	0	1	0	1	0	0	2	0	1	1	1	1	1	0
66	0	2,410	31	6	4	65	40	0	0	1	0	1	0	0	1	0	1	0	1	1	1	0
67	1	2,500	33	6	2	91	25	1	0	1	1	0	0	0	1	0	1	1	1	1	1	0
68	0	2,353	31	6	2	99	28	0	0	0	0	0	1	1	1	0	1	1	1	1	0	1
70	0	1,960	31	5	2	109	24	0	0	1	0	1	0	0	1	0	1	0	1	1	0	1
72	0	920	25	13	1	84	19	0	0	0	0	0	1	1	2	1	1	1	1	1	0	1
73	0	2,300	33	5	1	110	22	0	0	0	0	0	1	1	2	0	1	1	1	1	1	0
74	1	1,985	29	5	1	108	24	1	0	1	0	0	1	1	2	0	1	1	1	1	1	0
76	1	1,740	30	7	4	127	26	1	0	0	1	0	0	1	1	0	1	0	1	1	1	0
77	0	1,970	30	6	2	117	19	1	0	0	0	1	0	0	1	0	1	1	1	1	0	1
79	0	2,390	30	5	2	105	19	1	0	0	1	0	0	0	1	0	1	0	1	1	0	1
80	0	1,750	30	6	1	119	16	1	0	0	1	0	0	0	2	0	1	0	1	1	0	1
81	1	1,970	31	8	1	107	33	0	0	1	0	0	0	0	2	0	1	1	1	1	1	0
82	0	2,070	31	6	3	93	21	0	0	0	0	1	0	0	1	0	1	1	1	1	0	1
83	0	1,400	28	9	2	107	18	1	0	0	1	0	0	0	1	0	1	0	1	1	0	1
84	0	1,360	29	7	3	117	26	1	0	1	1	0	0	1	1	1	1	1	0	1	1	0
85	0	2,155	32	5	1	110	28	1	0	1	0	0	1	0	2	0	1	1	1	1	1	0
87	0	1,190	27	8	4	118	26	1	0	0	0	1	0	1	1	0	1	1	1	1	1	0
89	0	1,950	31	5	2	103	19	0	0	0	0	1	0	0	1	0	1	1	1	1	0	1
90	0	1,240	27	10	3	100	22	1	0	1	1	0	0	1	1	0	1	0	1	1	1	0
91	0	1,410	29	9	1	93	24	0	0	1	0	0	0	0	2	0	1	1	1	1	1	0
94	0	2,270	31	6	2	117	24	1	0	1	1	0	0	1	1	0	1	1	1	1	1	0
95	0	1,840	30	10	2	72	24	0	0	1	0	1	0	0	1	0	1	1	1	1	1	0
96	1	1,670	30	6	1	113	23	1	0	1	0	0	1	0	2	0	1	0	1	1	1	0
97	1	2,400	30	9	3	63	25	0	0	0	1	0	0	1	1	0	1	0	1	1	1	0
98	1	2,230	33	7	2	100	23	1	1	1	0	1	0	1	1	0	1	1	1	1	1	0
100	0	1,520	29	9	2	99	20	0	0	1	0	1	0	0	1	0	1	1	1	1	1	0
101	0	1,070	26	10	1	85	19	1	0	0	1	0	0	1	2	1	1	1	1	1	1	0
104	1	2,200	34	7	1	108	27	0	1	1	0	0	0	0	2	0	1	0	1	1	1	0
105	0	1,790	29	8	1	73	26	0	0	1	0	0	0	0	2	1	1	1	1	1	1	0
106	0	2,220	33	6	4	67	29	0	0	0	0	1	0	1	1	0	1	0	1	1	0	1
107	0	890	24	14	1	89	22	1	0	1	0	0	1	1	2	0	1	1	1	1	1	0
108	0	1,420	35	10	3	86	18	0	1	0	1	0	0	1	1	0	1	1	1	1	1	0
109	0	1,730	29	9	3	90	24	0	0	0	0	0	1	0	1	0	1	1	1	1	0	1
110	1	1,560	27	7	1	107	17	0	0	0	1	0	0	1	2	0	1	1	1	1	1	0
111	0	1,730	28	6	1	122	20	1	0	0	1	0	0	1	2	0	1	0	1	1	0	1
112	1	1,580	30	6	1	124	15	0	0	0	1	0	0	1	2	0	1	0	1	1	1	0
114	0	2,325	32	3	1	98	19	1	0	1	0	1	0	1	2	0	1	1	1	1	1	0
115	0	1,580	29	10	2	87	23	0	1	1	0	1	0	0	1	0	1	1	1	1	1	0
116	0	2,296	32	7	1	72	35	0	0	1	0	0	0	1	2	0	1	1	1	1	1	0
117	1	2,417	32	6	3	96	29	1	0	1	0	0	0	0	1	0	1	0	1	1	1	0
118	0	1,210	27	12	1	86	25	0	0	1	0	0	1	0	2	0	1	1	1	1	1	0
119	0	1,570	30	6	4	95	23	0	1	0	1	0	0	1	1	1	1	1	1	1	0	1
120	0	2,190	32	5	2	116	19	0	0	0	1	0	0	1	1	1	1	0	0	1	0	1
121	0	2,001	32	5	1	105	37	0	1	0	0	0	0	0	2	0	1	1	1	1	0	1
122	0	2,200	31	4	2	121	21	0	0	1	0	1	0	0	1	0	1	0	1	1	0	1
123	0	2,000	31	5	3	122	28	1	0	0	1	0	0	1	1	0	1	1	1	1	1	0
124	0	1,990	30	7	1	127	17	0	0	0	1	0	0	1	2	0	1	1	1	1	1	0
126	0	2,120	31	6	2	85	24	0	0	1	0	0	1	0	1	0	1	1	1	1	0	1

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This dataset contains the necesary data to reproduce the paper

Tec et al. (2024). Causal Estimation of Exposure Shifts with Neural Networks. In: KDD.

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Size of downloaded dataset files:

51.6 kB

Size of the auto-converted Parquet files:

25.7 kB

Number of rows:

747