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
41,344	male	asian	id	20-29	21.4	1,920	1,080	46.01	30
41,345	female	asian	en	10-19	10.8	1,920	1,080	24.29	30
41,346	female	asian	en	10-19	8.7	1,920	1,080	23.69	30
41,347	female	asian	en	10-19	22.6	1,920	1,080	56.26	30
41,348	female	asian	en	10-19	11	1,920	1,080	27.23	30
41,349	female	asian	en	10-19	29.5	1,920	1,080	70.27	30
41,350	female	asian	en	10-19	9.2	1,920	1,080	26.29	30
41,351	female	asian	en	10-19	13.3	1,920	1,080	31.93	30
41,352	female	asian	en	10-19	23.6	1,920	1,080	53.25	30
41,353	female	asian	en	10-19	33.8	1,920	1,080	66.67	30
41,354	female	asian	en	10-19	22.1	1,920	1,080	48.35	30
41,355	male	white	en	30-39	15	1,920	1,080	30.84	25
41,356	female	asian	en	20-29	27.5	3,840	2,160	21.06	24
41,357	male	white	en	20-29	75.4	3,840	2,160	48.72	30
41,358	male	white	en	20-29	64.3	3,840	2,160	46.71	30
41,359	male	asian	id	20-29	11.8	1,920	1,080	24.69	24
41,360	male	white	id	20-29	47.7	1,920	1,080	45.71	30
41,361	female	black	en	20-29	71.3	1,920	1,080	171.67	30
41,362	female	black	en	20-29	49.3	1,920	1,080	130.1	30
41,363	female	black	en	20-29	58.6	1,920	1,080	161.86	30
41,364	male	asian	id	20-29	25.5	3,840	2,160	21.09	30
41,365	male	asian	id	20-29	40.1	3,840	2,160	33.2	30
41,366	male	asian	id	20-29	49.7	3,840	2,160	37.8	30
41,367	male	asian	id	20-29	33.4	3,840	2,160	20.62	30
41,368	male	asian	id	20-29	60.5	3,840	2,160	50.55	30
41,369	male	asian	id	20-29	29.9	3,840	2,160	25.93	30
41,370	male	asian	en	20-29	22.9	3,840	2,160	20.77	24
41,371	male	asian	en	20-29	32	3,840	2,160	32.91	24
41,372	male	asian	en	20-29	23.9	3,840	2,160	21.48	24
41,373	female	asian	id	20-29	29.7	1,920	1,080	85.63	30
41,374	female	asian	id	20-29	41.5	1,920	1,080	120.87	30
41,375	female	asian	id	20-29	31.5	1,920	1,080	60.6	30
41,376	female	asian	id	20-29	12.2	1,920	1,080	24.9	30
41,377	female	asian	id	20-29	20	1,920	1,080	35.67	30
41,378	female	asian	id	20-29	32.2	1,920	1,080	61.77	30
41,379	female	asian	id	20-29	21.4	1,920	1,080	38.5	30
41,380	female	asian	id	20-29	18.1	1,920	1,080	37.47	30
41,381	female	asian	id	20-29	13.9	1,920	1,080	24.3	30
41,382	female	asian	id	20-29	24.6	1,920	1,080	47.53	30
41,383	male	asian	id	20-29	77.6	1,920	1,080	92.59	30
41,384	male	asian	id	30-39	16.2	1,280	720	35.23	30
41,385	female	indian	id	20-29	19.1	1,920	1,080	51.1	30
41,386	female	indian	id	20-29	22.3	1,920	1,080	70.73	30
41,387	female	indian	id	20-29	8.2	1,920	1,080	24.73	30
41,388	female	asian	id	20-29	31.6	3,840	2,160	30.53	30
41,389	female	asian	id	20-29	35.6	3,840	2,160	44.91	30
41,390	female	asian	id	20-29	43.3	3,840	2,160	52.45	30
41,391	female	white	en	30-39	105.6	1,920	1,080	178.48	30
41,392	female	white	en	30-39	59.2	1,920	1,080	103.1	30
41,393	female	white	en	30-39	67.9	1,920	1,080	126.19	30
41,394	female	white	en	20-29	15.3	1,920	1,080	28.04	25
41,395	female	white	en	20-29	11.4	1,920	1,080	20.68	25
41,396	female	white	en	20-29	13.8	1,920	1,080	31.2	25
41,397	female	white	en	20-29	12.6	1,920	1,080	20.64	25
41,398	male	asian	id	20-29	28.8	1,920	1,080	36.43	30
41,399	male	asian	id	20-29	51.3	3,840	2,160	40.14	30
41,400	male	asian	id	20-29	117.8	3,840	2,160	93.99	30
41,401	male	asian	id	20-29	28.1	3,840	2,160	21.02	30
41,402	male	asian	id	20-29	61	3,840	2,160	44.91	30
41,403	male	asian	id	20-29	40.3	3,840	2,160	31.3	30
41,404	male	asian	id	20-29	29.9	3,840	2,160	23.79	30
41,405	male	asian	id	20-29	29.5	3,840	2,160	24.49	30
41,406	male	asian	id	20-29	23.4	3,840	2,160	20.12	30
41,407	male	asian	id	20-29	37.5	3,840	2,160	28.53	30
41,408	male	asian	id	20-29	58.1	3,840	2,160	44.41	30
41,409	male	asian	id	20-29	27.5	3,840	2,160	21.79	30
41,410	male	white	en	20-29	25.9	1,920	1,080	25.9	24
41,411	male	white	en	20-29	49.6	1,920	1,080	48.17	24
41,412	female	black	en	20-29	12.1	1,920	1,080	21.42	30
41,413	female	black	en	20-29	14.8	1,920	1,080	20.79	30
41,414	male	white	en	20-29	43	3,840	2,160	79.95	24
41,415	male	asian	id	20-29	21.4	1,920	1,080	55.46	30
41,416	male	asian	id	20-29	49.1	1,920	1,080	107.91	30
41,417	female	asian	id	20-29	3.3	1,280	720	27.63	30
41,418	male	asian	id	20-29	22	1,920	1,080	32.93	30
41,419	male	asian	id	20-29	35.2	1,920	1,080	33.5	30
41,420	male	black	en	30-39	19.9	1,920	1,080	33.42	24
41,421	male	asian	en	30-39	63.9	3,840	2,160	42.8	25
41,422	male	asian	id	20-29	42.8	1,920	1,080	75.53	30
41,423	male	asian	id	20-29	34.8	1,920	1,080	48.87	30
41,424	male	asian	id	20-29	95.5	1,920	1,080	153.77	30
41,425	male	asian	id	20-29	28.6	3,840	2,160	26.18	59.9
41,426	female	asian	id	20-29	22.3	1,920	1,080	32.53	60
41,427	female	asian	id	20-29	19.2	1,920	1,080	27.2	60
41,428	female	asian	id	20-29	37.6	1,920	1,080	51.85	60
41,429	female	asian	id	20-29	33.1	1,920	1,080	52.62	60
41,430	female	asian	en	20-29	72.4	1,920	1,080	176.84	30
41,431	female	asian	id	20-29	18.6	1,920	1,080	30.83	30
41,432	female	asian	id	20-29	34.4	1,920	1,080	59.63	30
41,433	female	asian	id	20-29	16.5	1,920	1,080	29.2	30
41,434	female	asian	id	20-29	28.3	1,920	1,080	54.23	30
41,435	female	asian	id	20-29	16.4	1,920	1,080	32.57	30
41,436	male	asian	id	20-29	33.7	3,840	2,160	41.64	30
41,437	male	asian	id	20-29	23.6	3,840	2,160	26.03	30
41,438	male	asian	id	20-29	23.3	3,840	2,160	28.13	30
41,439	male	asian	id	20-29	22.5	3,840	2,160	26.36	30
41,440	male	asian	id	20-29	54.3	3,840	2,160	64.36	30
41,441	male	asian	id	20-29	20.9	3,840	2,160	27.73	30
41,442	male	asian	id	20-29	13.1	3,840	2,160	20.99	30
41,443	female	white	en	20-29	25.3	1,920	1,080	51.77	30

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