Split (1)

train · 47.6k rows

id int64 73 52.5k	gender stringclasses 3 values	race stringclasses 5 values	lang stringclasses 52 values	age stringclasses 10 values	filesize float64 2.7 1.59k	width int64 608 3.84k	height int64 720 2.16k	length float64 9.2 179	fps float64 10 60
34,320	male	white	de	40-49	351.2	3,840	2,160	159.84	25
34,321	female	white	nl	20-29	28.4	1,920	1,080	32.96	25
34,322	female	white	nl	20-29	109.5	1,920	1,080	141.4	25
34,323	female	white	nl	20-29	11.3	1,920	1,080	21.2	25
34,324	female	asian	en	20-29	13.3	1,920	1,080	21.76	59.9
34,325	female	asian	en	20-29	20.1	1,920	1,080	34.17	59.9
34,326	female	asian	en	20-29	17	1,920	1,080	32.35	59.9
34,327	female	asian	en	20-29	23.6	1,920	1,080	34.18	59.9
34,328	female	white	nl	20-29	56.4	1,920	1,080	56.4	30
34,329	female	white	nl	20-29	38	1,920	1,080	35.43	30
34,330	female	white	nl	20-29	103	1,920	1,080	94.87	30
34,331	female	white	nl	20-29	97.8	1,920	1,080	86.83	30
34,332	female	white	nl	20-29	55.1	1,920	1,080	47.4	30
34,333	female	white	nl	20-29	116.3	1,920	1,080	116	30
34,334	female	white	nl	20-29	159.6	1,920	1,080	159.77	30
34,335	female	white	nl	20-29	43.7	1,920	1,080	40.2	30
34,336	female	white	nl	20-29	56.2	1,920	1,080	56.93	30
34,337	female	white	nl	20-29	47.2	1,920	1,080	49.5	30
34,338	female	white	nl	20-29	24.8	1,920	1,080	41.94	30
34,339	female	white	nl	20-29	20.3	1,920	1,080	42.64	30
34,340	male	white	en	30-39	9.6	1,920	1,080	23.84	50
34,341	male	white	en	30-39	11.6	1,920	1,080	26.72	50
34,342	male	white	en	30-39	8.2	1,920	1,080	20.72	50
34,343	male	white	en	30-39	13.5	1,920	1,080	33.14	50
34,344	male	white	en	30-39	9.6	1,920	1,080	20.94	50
34,345	male	white	en	30-39	9	1,920	1,080	22.02	50
34,346	male	white	en	30-39	19.2	1,920	1,080	52.34	50
34,347	male	white	en	40-49	21.5	1,920	1,080	40.23	30
34,348	female	asian	nl	20-29	20.9	1,920	1,080	30.6	25
34,349	male	white	nl	20-29	21.3	1,920	1,080	44.54	30
34,350	female	asian	en	20-29	25.3	1,920	1,080	51.15	30
34,351	female	asian	en	20-29	64.2	1,920	1,080	134.63	30
34,352	female	white	nl	20-29	41.9	1,920	1,080	88.79	30
34,353	female	white	nl	20-29	71.1	1,920	1,080	134.03	30
34,354	female	white	nl	20-29	23.8	1,920	1,080	47.25	30
34,355	female	white	nl	20-29	32.2	1,920	1,080	63.36	30
34,356	female	white	nl	20-29	63.4	1,920	1,080	117.42	30
34,357	female	white	nl	20-29	15.9	1,920	1,080	25.69	30
34,358	female	white	nl	20-29	20.3	1,920	1,080	44.31	30
34,359	female	white	nl	40-49	33.8	1,920	1,080	99.83	30
34,360	female	white	nl	40-49	10.3	1,920	1,080	24.13	30
34,361	female	white	nl	40-49	9.8	1,920	1,080	20.03	30
34,362	female	white	nl	30-39	11.3	1,920	1,080	24.88	25
34,363	female	white	nl	30-39	32.2	1,920	1,080	74.4	25
34,364	female	white	nl	30-39	16.3	1,920	1,080	38.96	25
34,365	female	white	nl	30-39	13.2	1,920	1,080	30.36	25
34,366	female	white	nl	20-29	29.7	1,920	1,080	52.99	30
34,367	female	white	nl	20-29	44.4	1,920	1,080	75.48	30
34,368	female	white	nl	20-29	67.8	1,920	1,080	110.01	30
34,369	female	white	en	30-39	17.8	1,920	1,080	28.53	30
34,370	male	white	nl	20-29	27.8	3,840	2,160	21.92	30
34,371	male	white	nl	20-29	37.5	3,840	2,160	30.53	30
34,372	female	asian	en	20-29	12.1	1,920	1,080	31.1	59.9
34,373	female	asian	en	20-29	10.9	1,920	1,080	22.41	59.9
34,374	female	asian	en	20-29	10.8	1,920	1,080	22.76	59.9
34,375	female	asian	en	20-29	7.7	1,920	1,080	25.23	59.9
34,376	female	asian	en	20-29	30.4	1,920	1,080	77.59	59.9
34,377	female	asian	en	20-29	12.9	1,920	1,080	29.95	59.9
34,378	female	asian	en	20-29	11.4	1,920	1,080	27.06	59.9
34,379	female	asian	en	20-29	18.2	1,920	1,080	43.74	59.9
34,380	female	asian	en	20-29	26.9	1,920	1,080	76.66	59.9
34,381	female	asian	en	20-29	19.5	1,920	1,080	50.75	59.9
34,382	female	asian	en	20-29	9.7	1,920	1,080	20.8	59.9
34,383	female	asian	nl	20-29	10.8	1,920	1,080	22.44	25
34,384	female	asian	nl	20-29	10.9	1,920	1,080	26.36	25
34,385	female	asian	nl	20-29	8.9	1,920	1,080	21.32	25
34,386	female	white	nl	30-39	21.3	1,280	720	54	25
34,387	male	indian	en	20-29	37.8	3,840	2,160	34.08	25
34,388	male	indian	en	20-29	25.2	3,840	2,160	27.04	25
34,389	male	indian	en	20-29	43.9	3,840	2,160	48	25
34,390	male	indian	en	20-29	26.5	3,840	2,160	27	25
34,391	male	indian	en	20-29	30.4	3,840	2,160	27.84	25
34,392	male	indian	en	20-29	30.8	3,840	2,160	25.92	25
34,393	female	white	nl	20-29	15.6	1,920	1,080	40.31	30
34,394	female	white	en	30-39	127.3	1,920	1,080	167.53	30
34,395	female	white	en	30-39	80.4	1,920	1,080	101.9	30
34,396	female	asian	en	20-29	52.7	1,920	1,080	86.75	30
34,397	female	white	en	20-29	66.9	1,920	1,080	166.3	60
34,398	female	white	en	30-39	12.4	1,920	1,080	30.23	30
34,399	female	white	nl	20-29	6.7	1,280	720	24.77	24
34,400	female	white	nl	30-39	14.2	1,920	1,080	20.59	30
34,401	female	white	nl	30-39	16.7	1,920	1,080	25.86	30
34,402	female	white	nl	30-39	29.7	1,920	1,080	44.84	30
34,403	female	white	af	20-29	13	1,920	1,080	28.4	50
34,404	male	white	en	20-29	26.6	1,920	1,080	43.23	30
34,405	female	black	nl	30-39	17.5	1,920	1,080	23.04	25
34,406	female	black	nl	30-39	21.6	1,920	1,080	41.36	25
34,407	female	black	nl	30-39	8.6	1,920	1,080	23.4	25
34,408	female	black	nl	30-39	11.6	1,920	1,080	20.32	25
34,409	female	white	sv	30-39	11.4	1,280	720	61.84	25
34,410	female	white	af	20-29	12.4	1,280	720	33.93	30
34,411	female	white	af	20-29	8.5	1,280	720	25.39	30
34,412	female	white	nl	30-39	10.8	1,920	1,080	29.87	30
34,413	female	white	nl	30-39	14.5	1,920	1,080	26.4	30
34,414	female	white	nl	30-39	16.2	1,920	1,080	39.07	30
34,415	female	white	nl	30-39	9.3	1,920	1,080	21.17	30
34,416	female	white	nl	30-39	11.8	1,920	1,080	23.7	30
34,417	female	white	nl	30-39	12.2	1,920	1,080	21.6	30
34,418	female	white	nl	20-29	13.5	1,280	720	41.24	25
34,419	male	white	nl	30-39	27.2	3,840	2,160	20.6	24

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