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david4096
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dehydrated-croissant

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train · 500k rows

dataset_name stringclasses 100 values	point_id int64 0 5k	x float64 0 1	y float64 0 1	z float64 0 1	w float64 0 1	additional_info stringlengths 33 37
Dataset_0	0	0.572016	0.955207	0.563662	0.271231	Metadata for point 0 in Dataset_0
Dataset_0	1	0.857595	0.561572	0.224275	0.722832	Metadata for point 1 in Dataset_0
Dataset_0	2	0.076246	0.708937	0.633909	0.139029	Metadata for point 2 in Dataset_0
Dataset_0	3	0.479232	0.642281	0.849401	0.429154	Metadata for point 3 in Dataset_0
Dataset_0	4	0.348438	0.422679	0.500327	0.883298	Metadata for point 4 in Dataset_0
Dataset_0	5	0.412566	0.221883	0.026414	0.564491	Metadata for point 5 in Dataset_0
Dataset_0	6	0.946378	0.209865	0.834214	0.869134	Metadata for point 6 in Dataset_0
Dataset_0	7	0.542386	0.271225	0.746422	0.185249	Metadata for point 7 in Dataset_0
Dataset_0	8	0.160781	0.546745	0.030223	0.451418	Metadata for point 8 in Dataset_0
Dataset_0	9	0.468749	0.366922	0.663283	0.750163	Metadata for point 9 in Dataset_0
Dataset_0	10	0.172904	0.354003	0.07847	0.019258	Metadata for point 10 in Dataset_0
Dataset_0	11	0.904317	0.708441	0.906278	0.050751	Metadata for point 11 in Dataset_0
Dataset_0	12	0.977784	0.970546	0.165218	0.42663	Metadata for point 12 in Dataset_0
Dataset_0	13	0.91716	0.129364	0.189266	0.668479	Metadata for point 13 in Dataset_0
Dataset_0	14	0.534566	0.926661	0.368417	0.694285	Metadata for point 14 in Dataset_0
Dataset_0	15	0.116805	0.545414	0.787289	0.392532	Metadata for point 15 in Dataset_0
Dataset_0	16	0.007807	0.559001	0.066679	0.789571	Metadata for point 16 in Dataset_0
Dataset_0	17	0.814098	0.97552	0.213794	0.818837	Metadata for point 17 in Dataset_0
Dataset_0	18	0.281407	0.019825	0.474497	0.700758	Metadata for point 18 in Dataset_0
Dataset_0	19	0.977382	0.864984	0.067566	0.396321	Metadata for point 19 in Dataset_0
Dataset_0	20	0.435673	0.999229	0.847264	0.284148	Metadata for point 20 in Dataset_0
Dataset_0	21	0.424624	0.178058	0.160737	0.532546	Metadata for point 21 in Dataset_0
Dataset_0	22	0.09463	0.656714	0.12989	0.948879	Metadata for point 22 in Dataset_0
Dataset_0	23	0.987434	0.2784	0.682923	0.978233	Metadata for point 23 in Dataset_0
Dataset_0	24	0.033818	0.082583	0.156415	0.966485	Metadata for point 24 in Dataset_0
Dataset_0	25	0.278802	0.241239	0.447184	0.461998	Metadata for point 25 in Dataset_0
Dataset_0	26	0.896792	0.573349	0.576081	0.17786	Metadata for point 26 in Dataset_0
Dataset_0	27	0.020121	0.726453	0.070452	0.082304	Metadata for point 27 in Dataset_0
Dataset_0	28	0.227831	0.80522	0.618229	0.032228	Metadata for point 28 in Dataset_0
Dataset_0	29	0.192921	0.366332	0.450559	0.927308	Metadata for point 29 in Dataset_0
Dataset_0	30	0.040473	0.021635	0.828661	0.115578	Metadata for point 30 in Dataset_0
Dataset_0	31	0.817713	0.248311	0.038593	0.416694	Metadata for point 31 in Dataset_0
Dataset_0	32	0.22693	0.986087	0.569779	0.55695	Metadata for point 32 in Dataset_0
Dataset_0	33	0.601282	0.368495	0.037798	0.718624	Metadata for point 33 in Dataset_0
Dataset_0	34	0.361131	0.766625	0.431534	0.919496	Metadata for point 34 in Dataset_0
Dataset_0	35	0.908105	0.683834	0.564721	0.554026	Metadata for point 35 in Dataset_0
Dataset_0	36	0.537356	0.569176	0.919955	0.524901	Metadata for point 36 in Dataset_0
Dataset_0	37	0.229093	0.449843	0.690296	0.118822	Metadata for point 37 in Dataset_0
Dataset_0	38	0.884804	0.474337	0.999707	0.489906	Metadata for point 38 in Dataset_0
Dataset_0	39	0.264154	0.334459	0.696757	0.150456	Metadata for point 39 in Dataset_0
Dataset_0	40	0.873151	0.537904	0.350101	0.214719	Metadata for point 40 in Dataset_0
Dataset_0	41	0.118514	0.011564	0.646022	0.9313	Metadata for point 41 in Dataset_0
Dataset_0	42	0.775992	0.307976	0.030303	0.816209	Metadata for point 42 in Dataset_0
Dataset_0	43	0.518603	0.606656	0.560547	0.052064	Metadata for point 43 in Dataset_0
Dataset_0	44	0.328392	0.557082	0.827557	0.177654	Metadata for point 44 in Dataset_0
Dataset_0	45	0.674715	0.714829	0.736115	0.869329	Metadata for point 45 in Dataset_0
Dataset_0	46	0.767953	0.61429	0.248091	0.337635	Metadata for point 46 in Dataset_0
Dataset_0	47	0.386227	0.380821	0.783362	0.072481	Metadata for point 47 in Dataset_0
Dataset_0	48	0.057672	0.956411	0.521536	0.433406	Metadata for point 48 in Dataset_0
Dataset_0	49	0.564351	0.782399	0.38801	0.415238	Metadata for point 49 in Dataset_0
Dataset_0	50	0.159578	0.308972	0.810128	0.721357	Metadata for point 50 in Dataset_0
Dataset_0	51	0.573568	0.687302	0.040947	0.464776	Metadata for point 51 in Dataset_0
Dataset_0	52	0.840143	0.343241	0.831526	0.82076	Metadata for point 52 in Dataset_0
Dataset_0	53	0.98985	0.808477	0.214664	0.175566	Metadata for point 53 in Dataset_0
Dataset_0	54	0.264631	0.588257	0.824539	0.201267	Metadata for point 54 in Dataset_0
Dataset_0	55	0.050218	0.100024	0.751957	0.65361	Metadata for point 55 in Dataset_0
Dataset_0	56	0.863764	0.465776	0.275483	0.885239	Metadata for point 56 in Dataset_0
Dataset_0	57	0.720279	0.239229	0.831684	0.130664	Metadata for point 57 in Dataset_0
Dataset_0	58	0.316545	0.684889	0.615646	0.317266	Metadata for point 58 in Dataset_0
Dataset_0	59	0.367905	0.757863	0.581515	0.271827	Metadata for point 59 in Dataset_0
Dataset_0	60	0.369808	0.677588	0.257975	0.925003	Metadata for point 60 in Dataset_0
Dataset_0	61	0.202762	0.821453	0.043845	0.898006	Metadata for point 61 in Dataset_0
Dataset_0	62	0.322341	0.913753	0.586561	0.886268	Metadata for point 62 in Dataset_0
Dataset_0	63	0.843967	0.455714	0.195459	0.07813	Metadata for point 63 in Dataset_0
Dataset_0	64	0.463408	0.74847	0.945172	0.121357	Metadata for point 64 in Dataset_0
Dataset_0	65	0.057952	0.2128	0.388467	0.619969	Metadata for point 65 in Dataset_0
Dataset_0	66	0.388331	0.713874	0.006216	0.797593	Metadata for point 66 in Dataset_0
Dataset_0	67	0.052381	0.389578	0.58329	0.069964	Metadata for point 67 in Dataset_0
Dataset_0	68	0.575816	0.233443	0.38287	0.186451	Metadata for point 68 in Dataset_0
Dataset_0	69	0.233094	0.056994	0.494986	0.678867	Metadata for point 69 in Dataset_0
Dataset_0	70	0.539416	0.55891	0.95394	0.300613	Metadata for point 70 in Dataset_0
Dataset_0	71	0.703602	0.419833	0.803699	0.048939	Metadata for point 71 in Dataset_0
Dataset_0	72	0.583102	0.642854	0.696133	0.943126	Metadata for point 72 in Dataset_0
Dataset_0	73	0.835163	0.212189	0.01267	0.946228	Metadata for point 73 in Dataset_0
Dataset_0	74	0.745702	0.294547	0.268405	0.653403	Metadata for point 74 in Dataset_0
Dataset_0	75	0.228475	0.775262	0.89589	0.919116	Metadata for point 75 in Dataset_0
Dataset_0	76	0.142003	0.699812	0.191834	0.823357	Metadata for point 76 in Dataset_0
Dataset_0	77	0.052098	0.606827	0.198007	0.144451	Metadata for point 77 in Dataset_0
Dataset_0	78	0.644515	0.370287	0.092497	0.701499	Metadata for point 78 in Dataset_0
Dataset_0	79	0.980019	0.815523	0.170202	0.884586	Metadata for point 79 in Dataset_0
Dataset_0	80	0.007611	0.288324	0.153897	0.54789	Metadata for point 80 in Dataset_0
Dataset_0	81	0.306045	0.333849	0.470462	0.192373	Metadata for point 81 in Dataset_0
Dataset_0	82	0.705536	0.302813	0.793617	0.289308	Metadata for point 82 in Dataset_0
Dataset_0	83	0.832746	0.241866	0.676097	0.589235	Metadata for point 83 in Dataset_0
Dataset_0	84	0.224643	0.256644	0.533625	0.226705	Metadata for point 84 in Dataset_0
Dataset_0	85	0.96085	0.672831	0.144304	0.227711	Metadata for point 85 in Dataset_0
Dataset_0	86	0.33491	0.770464	0.086048	0.279479	Metadata for point 86 in Dataset_0
Dataset_0	87	0.815543	0.709462	0.304476	0.037739	Metadata for point 87 in Dataset_0
Dataset_0	88	0.293659	0.421948	0.539198	0.623028	Metadata for point 88 in Dataset_0
Dataset_0	89	0.756335	0.946089	0.676062	0.024808	Metadata for point 89 in Dataset_0
Dataset_0	90	0.387437	0.121615	0.199887	0.206554	Metadata for point 90 in Dataset_0
Dataset_0	91	0.556073	0.687306	0.212458	0.331951	Metadata for point 91 in Dataset_0
Dataset_0	92	0.740758	0.182388	0.050365	0.774161	Metadata for point 92 in Dataset_0
Dataset_0	93	0.687995	0.812545	0.727256	0.841232	Metadata for point 93 in Dataset_0
Dataset_0	94	0.572361	0.757025	0.232466	0.979694	Metadata for point 94 in Dataset_0
Dataset_0	95	0.771724	0.035504	0.21206	0.885075	Metadata for point 95 in Dataset_0
Dataset_0	96	0.492739	0.713338	0.979287	0.016284	Metadata for point 96 in Dataset_0
Dataset_0	97	0.424807	0.356278	0.738887	0.246965	Metadata for point 97 in Dataset_0
Dataset_0	98	0.336705	0.693674	0.003196	0.828275	Metadata for point 98 in Dataset_0
Dataset_0	99	0.294057	0.549827	0.272286	0.509572	Metadata for point 99 in Dataset_0

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Size of the auto-converted Parquet files:

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Number of rows:

500,000