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
47,190	male	indian	tl	30-39	27.3	1,920	1,080	45.3	59.9
47,191	female	asian	tl	20-29	22.6	1,920	1,080	44.63	24
47,192	male	asian	tl	30-39	9.7	1,920	1,080	22.1	30
47,193	male	asian	tl	30-39	18.6	1,920	1,080	36.67	28.8
47,194	male	asian	tl	20-29	82	1,920	1,080	160.65	60
47,195	female	asian	en	20-29	34.1	1,920	1,080	42.6	25
47,196	female	asian	en	20-29	58.5	1,920	1,080	86.96	25
47,197	female	black	tl	30-39	14.9	1,280	720	44.33	30
47,198	male	asian	en	20-29	15.4	1,920	1,080	25.93	60
47,199	male	white	en	40-49	35.2	1,920	1,080	61.96	30
47,200	male	white	en	40-49	30.9	1,920	1,080	33.93	30
47,201	male	white	en	40-49	32.9	1,920	1,080	58.09	30
47,202	male	asian	tl	10-19	5.4	1,920	1,080	16.67	30
47,203	male	asian	tl	10-19	16.2	1,920	1,080	44.6	30
47,204	male	asian	tl	10-19	39.8	1,920	1,080	108.57	30
47,205	male	asian	tl	40-49	28.1	1,920	1,080	47.03	30
47,206	male	asian	ar	20-29	25	1,920	1,080	41.53	30
47,207	male	asian	ar	20-29	88.3	1,920	1,080	157.2	30
47,208	male	asian	ar	20-29	25.2	1,920	1,080	36.97	30
47,209	male	asian	ar	20-29	87.1	1,920	1,080	152.3	30
47,210	male	asian	tl	20-29	52.6	3,840	2,160	34.66	24
47,211	male	asian	tl	20-29	64.6	3,840	2,160	52.43	24
47,212	male	asian	en	20-29	14.2	1,920	1,080	20.92	59.9
47,213	male	asian	en	20-29	69.6	1,920	1,080	96.45	59.9
47,214	male	asian	en	20-29	57.3	1,920	1,080	86.04	59.9
47,215	male	asian	en	20-29	46.5	1,920	1,080	67.12	59.9
47,216	male	white	en	20-29	39.4	3,840	2,160	46.11	30
47,217	male	white	en	20-29	26	3,840	2,160	31.7	30
47,218	male	white	en	20-29	16.6	3,840	2,160	20.19	30
47,219	male	white	en	20-29	17.1	3,840	2,160	21.19	30
47,220	male	white	en	20-29	18.1	3,840	2,160	20.79	30
47,221	male	white	en	20-29	20.3	3,840	2,160	20.89	30
47,222	male	white	en	20-29	35.8	3,840	2,160	40.81	30
47,223	male	white	en	20-29	23.6	3,840	2,160	26.59	30
47,224	male	white	en	20-29	29.7	3,840	2,160	32.9	30
47,225	male	white	en	20-29	39.5	3,840	2,160	41.31	30
47,226	male	white	en	20-29	19.6	3,840	2,160	20.39	30
47,227	male	asian	tl	20-29	5.3	1,280	720	22.77	30
47,228	male	asian	tl	20-29	38.7	1,920	1,080	83.7	60
47,229	male	white	en	30-39	65	3,840	2,160	48.76	24
47,230	male	asian	en	20-29	48.5	1,920	1,080	171.46	24
47,231	male	asian	en	20-29	48.9	1,920	1,080	169.92	24
47,232	male	asian	en	20-29	13	1,920	1,080	42.29	24
47,233	male	asian	tl	20-29	17.4	1,920	1,080	87.75	24
47,234	male	asian	tl	20-29	4.9	1,920	1,080	20.69	24
47,235	male	asian	tl	20-29	11.4	1,920	1,080	56.6	24
47,236	male	asian	tl	20-29	6	1,920	1,080	28.61	24
47,237	none	none	tl	none	10.9	1,920	1,080	42.63	30
47,238	male	asian	tl	20-29	30.5	2,560	1,440	30.77	30
47,239	male	asian	tl	20-29	64.1	2,560	1,440	63.13	30
47,240	male	asian	tl	20-29	48.7	2,560	1,440	39.63	30
47,241	male	asian	tl	20-29	44.1	2,560	1,440	41.73	30
47,242	male	asian	tl	20-29	10	1,920	1,080	20.1	60
47,243	male	asian	tl	40-49	133.7	1,920	1,080	84.87	30
47,244	male	asian	tl	40-49	92.8	1,920	1,080	55.33	30
47,245	male	asian	tl	20-29	9.6	1,920	1,080	24.9	24
47,246	female	asian	pt	20-29	90	1,920	1,080	175.8	25
47,247	female	asian	pt	20-29	16.6	1,920	1,080	30	25
47,248	female	asian	pt	20-29	16.2	1,920	1,080	31.8	25
47,249	female	asian	pt	20-29	11.6	1,920	1,080	26.44	25
47,250	female	asian	pt	20-29	40.9	1,920	1,080	74.4	25
47,251	male	asian	tl	30-39	34.8	1,920	1,080	61.97	30
47,252	male	asian	tl	30-39	20.9	1,920	1,080	30.7	30
47,253	male	asian	tl	30-39	18.3	1,920	1,080	30.9	30
47,254	male	asian	tl	30-39	21	1,920	1,080	37.93	30
47,255	male	asian	tl	30-39	84.5	1,920	1,080	136.17	30
47,256	male	asian	tl	30-39	108.8	1,920	1,080	176.17	30
47,257	female	black	tl	30-39	73.4	1,920	1,080	99.73	30
47,258	female	black	tl	30-39	22.4	1,920	1,080	32.53	30
47,259	female	black	tl	30-39	49.8	1,920	1,080	68.63	30
47,260	male	asian	en	20-29	107.7	1,920	1,080	176.7	60
47,261	male	asian	en	20-29	65.7	1,920	1,080	112.3	60
47,262	none	none	en	none	50.4	3,840	2,160	28.49	24
47,263	female	asian	tl	20-29	90.1	1,920	1,080	109.21	59.9
47,264	female	asian	en	20-29	41.5	1,920	1,080	46.45	30
47,265	female	asian	en	20-29	55.9	1,920	1,080	65.77	30
47,266	female	asian	en	20-29	75	1,920	1,080	97.2	30
47,267	male	asian	tl	20-29	14.7	1,920	1,080	33.57	30
47,268	female	black	tl	30-39	21.1	1,920	1,080	21.13	30
47,269	male	asian	tl	30-39	22.3	1,920	1,080	35.24	30
47,270	male	white	en	20-29	57.1	3,840	2,160	47.31	30
47,271	female	asian	en	10-19	108.6	1,920	1,080	119.32	25
47,272	male	asian	en	20-29	43	1,920	1,080	63.23	30
47,273	male	asian	tl	30-39	28.8	3,840	2,160	21.4	24
47,274	male	asian	tl	30-39	70.5	3,840	2,160	41.62	24
47,275	male	asian	tl	30-39	57.5	3,840	2,160	45	24
47,276	male	asian	tl	30-39	75.9	3,840	2,160	58.52	24
47,277	male	asian	tl	20-29	7.7	1,920	1,080	20.52	25
47,278	male	white	en	30-39	8.1	1,920	1,080	33.03	30
47,279	male	white	en	30-39	4.9	1,920	1,080	23.17	30
47,280	male	white	en	30-39	7.4	1,920	1,080	25.87	30
47,281	female	asian	tl	20-29	16.9	1,920	1,080	30.5	30
47,282	female	asian	tl	20-29	21	1,920	1,080	39.07	30
47,283	female	asian	tl	20-29	63.2	1,920	1,080	120.67	30
47,284	female	asian	tl	20-29	18.5	1,920	1,080	36.23	30
47,285	male	asian	tl	20-29	15	1,920	1,080	27.73	30
47,286	male	asian	tl	20-29	9.9	1,920	1,080	22.27	30
47,287	male	asian	tl	20-29	8.1	1,920	1,080	20.03	30
47,288	male	asian	tl	20-29	9.7	1,920	1,080	29.93	30
47,289	female	asian	tl	20-29	52.5	1,920	1,080	49.35	30

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