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
16,335	male	white	en	40-49	63.8	3,840	2,160	25.32	25
16,336	male	white	en	30-39	99.9	3,840	2,160	35.99	24
16,337	male	white	en	30-39	136	3,840	2,160	51.43	24
16,338	male	white	en	20-29	31	1,920	1,080	52.43	24
16,339	male	black	en	40-49	20.5	1,920	1,080	70.94	30
16,340	male	white	en	30-39	91.7	3,840	2,160	39.44	30
16,341	female	white	en	20-29	115.1	3,840	2,160	60.83	30
16,342	female	white	en	20-29	62.8	3,840	2,160	31.93	30
16,343	female	white	en	20-29	115.7	3,840	2,160	57.66	30
16,344	female	white	en	20-29	114.7	3,840	2,160	56.52	30
16,345	female	white	en	20-29	60.1	3,840	2,160	31	30
16,346	male	white	en	30-39	113.7	3,840	2,160	55.96	30
16,347	male	white	en	30-39	9.2	1,920	1,080	33.48	59.9
16,348	male	white	en	50-59	437.4	3,840	2,160	109.32	25
16,349	female	white	en	20-29	10.9	1,920	1,080	25.83	30
16,350	female	white	en	20-29	26.8	1,920	1,080	57.52	30
16,351	female	white	en	20-29	24.3	1,920	1,080	64.16	30
16,352	female	white	en	20-29	15.2	1,920	1,080	41.34	30
16,353	female	white	en	20-29	34.4	1,920	1,080	88.59	30
16,354	female	white	en	20-29	44.6	1,920	1,080	104.44	30
16,355	male	white	cy	30-39	61.9	3,840	2,160	29.03	24
16,356	male	white	cy	30-39	112.9	3,840	2,160	52.18	24
16,357	male	white	cy	30-39	80.2	3,840	2,160	43.17	24
16,358	male	white	cy	30-39	60.4	3,840	2,160	25.02	24
16,359	male	white	cy	30-39	97.6	3,840	2,160	41.79	24
16,360	male	white	en	30-39	101.5	3,840	2,160	94.64	24
16,361	male	white	en	30-39	149	3,840	2,160	107.9	24
16,362	male	white	en	30-39	136.3	3,840	2,160	112.9	24
16,363	male	white	en	30-39	18.9	1,920	1,080	25.78	59.9
16,364	male	white	en	30-39	15.7	1,920	1,080	21.99	59.9
16,365	male	white	en	30-39	21	1,920	1,080	29.05	59.9
16,366	male	white	en	30-39	21.5	1,920	1,080	33.55	59.9
16,367	male	white	en	30-39	17	1,920	1,080	23.97	59.9
16,368	male	white	en	30-39	23.2	1,920	1,080	29.93	59.9
16,369	male	white	en	30-39	25.8	1,920	1,080	36.5	59.9
16,370	male	white	en	30-39	36.6	1,920	1,080	52.02	59.9
16,371	male	white	en	30-39	16.9	1,920	1,080	22.59	59.9
16,372	male	white	en	30-39	19.4	1,920	1,080	26.78	59.9
16,373	male	white	en	50-59	22.1	3,840	2,160	21.92	24
16,374	male	white	en	50-59	31.2	3,840	2,160	35.29	24
16,375	male	black	en	20-29	125.6	3,840	2,160	38.44	50
16,376	male	black	en	20-29	137.8	3,840	2,160	40.68	50
16,377	male	asian	en	20-29	19.1	3,840	2,160	20.88	25
16,378	male	white	en	30-39	50.9	3,840	2,160	23.9	24
16,379	male	white	en	30-39	68.4	3,840	2,160	28.53	24
16,380	male	white	en	30-39	96.1	3,840	2,160	39.12	24
16,381	male	white	en	30-39	67.3	3,840	2,160	27.65	24
16,382	male	white	en	30-39	71.2	3,840	2,160	29.36	24
16,383	female	white	en	30-39	32	3,840	2,160	20.16	25
16,384	female	white	en	30-39	43.1	3,840	2,160	28.08	25
16,385	female	white	en	30-39	39.3	3,840	2,160	25.24	25
16,386	male	white	en	20-29	24.7	3,840	2,160	27.15	24
16,387	male	asian	en	50-59	73.7	1,920	1,080	162.23	30
16,388	male	asian	en	50-59	19.9	1,920	1,080	42.53	30
16,389	male	indian	en	30-39	117.6	3,840	2,160	62.11	59.9
16,390	male	white	en	30-39	51.9	3,840	2,160	27.89	30
16,391	male	white	en	30-39	49.7	3,840	2,160	24.82	30
16,392	male	white	en	30-39	224.4	3,840	2,160	80.75	30
16,393	male	white	en	30-39	57.2	3,840	2,160	33.88	25
16,394	female	white	en	20-29	10.6	1,920	1,080	31.2	25
16,395	female	white	en	20-29	8.8	1,920	1,080	24.92	25
16,396	female	white	en	20-29	34.5	1,920	1,080	75.36	25
16,397	female	white	en	20-29	8.1	1,920	1,080	20.88	25
16,398	female	white	en	20-29	9.5	1,920	1,080	25.32	25
16,399	female	white	en	20-29	11	1,920	1,080	29.4	25
16,400	male	white	en	20-29	29.1	3,840	2,160	22.73	24
16,401	male	white	en	20-29	32.3	3,840	2,160	24.65	24
16,402	male	white	en	20-29	28.1	3,840	2,160	21.06	24
16,403	male	white	en	20-29	53.6	3,840	2,160	39.79	24
16,404	male	white	en	20-29	51.2	3,840	2,160	39.41	24
16,405	male	white	en	20-29	52.3	3,840	2,160	39.66	24
16,406	male	white	en	20-29	22.6	3,840	2,160	21.59	30
16,407	male	white	en	30-39	282.2	3,840	2,160	69.94	30
16,408	male	white	en	30-39	357.9	3,840	2,160	86.35	30
16,409	male	white	en	30-39	84.6	3,840	2,160	20.59	30
16,410	male	white	en	30-39	212	3,840	2,160	51.25	30
16,411	male	white	en	30-39	156.1	3,840	2,160	36.4	30
16,412	male	white	en	30-39	388.9	3,840	2,160	81.15	30
16,413	male	white	en	30-39	501.1	3,840	2,160	86.35	30
16,414	male	white	en	30-39	135.8	3,840	2,160	29.7	30
16,415	female	white	en	40-49	168.4	3,840	2,160	33.83	24
16,416	female	white	en	40-49	149.8	3,840	2,160	23.9	24
16,417	male	white	en	20-29	394.6	3,840	2,160	125.99	30
16,418	male	white	en	20-29	73.8	3,840	2,160	20.79	30
16,419	male	white	en	20-29	93	3,840	2,160	23.89	30
16,420	male	white	en	20-29	80.6	3,840	2,160	21.79	30
16,421	male	white	en	20-29	113.7	3,840	2,160	29.2	30
16,422	male	white	en	20-29	362.1	3,840	2,160	109.41	30
16,423	male	white	en	30-39	15.9	1,280	720	44.24	30
16,424	male	white	en	30-39	19.4	1,280	720	43.64	30
16,425	female	white	en	20-29	61.5	3,840	2,160	35.04	25
16,426	female	white	en	20-29	46.9	3,840	2,160	25.68	25
16,427	female	white	en	30-39	78.3	3,840	2,160	33.07	30
16,428	female	white	en	30-39	59.8	3,840	2,160	26.43	30
16,429	male	white	en	30-39	464.6	3,840	2,160	105.02	24
16,430	female	asian	en	20-29	90.8	3,840	2,160	26.86	24
16,431	female	asian	en	20-29	90.5	3,840	2,160	26.65	24
16,432	female	asian	en	20-29	472.2	3,840	2,160	143.27	24
16,433	female	asian	en	20-29	105	3,840	2,160	30.49	24
16,434	male	white	en	40-49	31.1	3,840	2,160	29.2	24

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