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
41,244	male	black	hi	20-29	21.8	1,920	1,080	34.43	30
41,245	male	black	hi	20-29	54.8	1,920	1,080	60.23	30
41,246	male	white	hi	30-39	9.2	1,920	1,080	20.85	30
41,247	male	white	hi	30-39	9.3	1,920	1,080	21.09	30
41,248	male	white	hi	30-39	17.1	1,920	1,080	20.53	30
41,249	male	white	hi	30-39	30.1	1,920	1,080	24.13	30
41,250	male	white	hi	30-39	26.9	1,920	1,080	32.83	30
41,251	female	white	it	20-29	218	3,840	2,160	59.09	30
41,252	female	white	it	20-29	135.4	3,840	2,160	39.04	30
41,253	female	white	it	20-29	229.5	3,840	2,160	50.35	30
41,254	male	white	hi	40-49	17.2	1,920	1,080	22.82	30
41,255	male	white	hi	40-49	25.8	1,920	1,080	35.03	30
41,256	male	white	hi	40-49	27.8	1,920	1,080	37.2	30
41,257	male	indian	hi	30-39	130.1	3,840	2,160	24.3	29.7
41,258	male	indian	hi	30-39	165.9	3,840	2,160	30.36	29.7
41,259	male	indian	hi	30-39	159.3	3,840	2,160	28.84	29.7
41,260	male	white	hi	30-39	23.1	1,920	1,080	37.17	30
41,261	male	indian	hi	30-39	27.9	1,920	1,080	22.53	30
41,262	male	white	hi	30-39	38.8	1,920	1,080	27.92	25
41,263	male	white	hi	30-39	28.6	1,920	1,080	38.64	25
41,264	male	indian	hi	40-49	54	1,920	1,080	40.64	30
41,265	male	black	hi	20-29	20.1	1,920	1,080	21.2	30
41,266	male	black	hi	20-29	14.8	1,920	1,080	20.3	30
41,267	male	black	hi	20-29	17.8	1,920	1,080	27.83	30
41,268	male	indian	hi	20-29	51.8	1,920	1,080	65.57	60
41,269	male	indian	hi	20-29	27.3	1,920	1,080	36.25	60
41,270	male	indian	hi	20-29	20.3	1,920	1,080	25.62	60
41,271	male	indian	hi	20-29	20.6	1,920	1,080	25.55	60
41,272	male	indian	hi	20-29	102.2	1,920	1,080	127.55	60
41,273	male	indian	hi	20-29	41.7	1,920	1,080	51.07	60
41,274	male	white	en	30-39	23.6	3,840	2,160	22.79	30
41,275	male	white	en	30-39	21.9	3,840	2,160	20.69	30
41,276	male	white	en	30-39	63.5	3,840	2,160	61.76	30
41,277	male	white	en	30-39	26.9	3,840	2,160	26.09	30
41,278	male	white	en	30-39	29.2	3,840	2,160	25.79	30
41,279	male	white	en	30-39	35.7	3,840	2,160	34.1	30
41,280	male	white	en	30-39	34.2	3,840	2,160	33.9	30
41,281	male	white	en	30-39	40.3	3,840	2,160	31.8	30
41,282	male	white	en	30-39	46.5	3,840	2,160	41.84	30
41,283	female	indian	hi	30-39	12.9	1,920	1,080	40.71	24
41,284	female	indian	hi	30-39	9	1,920	1,080	26.29	24
41,285	male	asian	hi	20-29	31.3	1,920	1,080	39.8	30
41,286	male	white	pt	30-39	91	1,920	1,080	91.4	30
41,287	male	white	pt	30-39	83.9	1,920	1,080	77.5	30
41,288	male	asian	id	30-39	8.9	1,920	1,080	23.83	30
41,289	female	asian	id	20-29	20	1,920	1,080	42.47	30
41,290	female	asian	id	20-29	38	1,920	1,080	71.63	30
41,291	female	asian	id	20-29	24.2	1,920	1,080	37.83	60
41,292	male	white	en	30-39	31.4	1,920	1,080	20.62	30
41,293	male	asian	id	20-29	48.6	3,840	2,160	31.6	59.9
41,294	male	asian	id	20-29	47.6	3,840	2,160	28.53	59.9
41,295	male	asian	id	20-29	16.1	1,920	1,080	21.39	30
41,296	male	asian	id	20-29	25.4	1,920	1,080	33.33	30
41,297	male	asian	id	30-39	25.6	1,920	1,080	78.98	30
41,298	male	asian	id	30-39	7.3	1,920	1,080	21.92	30
41,299	male	asian	en	50-59	42.5	3,840	2,160	21.09	30
41,300	male	asian	en	50-59	56	3,840	2,160	25.99	30
41,301	female	black	en	20-29	20.6	1,920	1,080	43.92	25
41,302	female	black	en	20-29	17.2	1,920	1,080	32.16	25
41,303	female	black	en	20-29	23	1,920	1,080	49.6	25
41,304	female	black	en	20-29	29.3	1,920	1,080	58.96	25
41,305	female	asian	id	40-49	24.5	1,920	1,080	39.27	30
41,306	male	black	en	20-29	122.8	3,840	2,160	59.01	59.9
41,307	male	black	en	20-29	43.3	3,840	2,160	23.41	59.9
41,308	male	black	en	20-29	108	3,840	2,160	51.65	59.9
41,309	male	white	en	20-29	13.2	1,920	1,080	23.09	30
41,310	female	asian	id	20-29	11.5	1,920	1,080	21.88	25
41,311	male	asian	en	20-29	22.6	1,920	1,080	29.9	24
41,312	male	asian	id	20-29	36	2,560	1,440	47.07	30
41,313	female	asian	id	20-29	8.9	1,920	1,080	20.72	30
41,314	female	asian	id	20-29	17.4	1,920	1,080	48.95	30
41,315	female	asian	id	20-29	27.3	1,920	1,080	76.88	30
41,316	female	asian	id	20-29	13.6	1,920	1,080	42.64	30
41,317	female	asian	id	20-29	37.2	1,920	1,080	83.78	30
41,318	female	asian	id	20-29	25.2	1,920	1,080	68.33	30
41,319	female	asian	id	20-29	9.8	1,920	1,080	28.76	30
41,320	female	asian	id	20-29	15.9	1,920	1,080	35.94	30
41,321	female	asian	id	20-29	11.3	1,920	1,080	31.83	30
41,322	female	asian	id	20-29	12.7	1,920	1,080	31.77	30
41,323	female	asian	id	20-29	11	1,920	1,080	23.72	30
41,324	female	asian	id	20-29	19.4	1,920	1,080	53.19	30
41,325	female	asian	id	20-29	11.8	1,920	1,080	27.06	30
41,326	female	asian	id	20-29	8.9	1,920	1,080	25.19	30
41,327	female	asian	id	20-29	9.4	1,920	1,080	22.49	30
41,328	female	asian	id	20-29	10.4	1,920	1,080	20.12	30
41,329	female	asian	id	20-29	23.5	1,920	1,080	53.25	30
41,330	female	asian	id	20-29	13.2	1,920	1,080	33.1	30
41,331	female	asian	id	20-29	23.5	1,920	1,080	63.96	30
41,332	female	asian	id	20-29	18.8	1,920	1,080	48.95	30
41,333	female	asian	id	20-29	13.9	1,920	1,080	28.43	30
41,334	female	asian	id	20-29	10.8	1,920	1,080	28.13	30
41,335	male	asian	id	20-29	18.5	1,920	1,080	34.38	59.9
41,336	female	asian	id	20-29	26	1,920	1,080	49.97	30
41,337	female	asian	id	20-29	15.4	1,920	1,080	30.07	30
41,338	female	asian	id	20-29	27.1	1,920	1,080	49.33	30
41,339	female	white	en	20-29	17.4	1,920	1,080	21.82	30
41,340	male	asian	id	20-29	18.3	1,920	1,080	24.82	30
41,341	male	asian	id	20-29	38.9	1,920	1,080	53.35	30
41,342	male	asian	id	20-29	35.8	1,920	1,080	53.73	30
41,343	male	asian	id	20-29	23.8	1,920	1,080	31.13	30

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.