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LeRobot-worldwide-hackathon
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316-NeuralLogic-sensor_dataset2

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train · 153k rows

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observation.state list	timestamp float32 0 4.16	frame_index int64 0 4.99k	episode_index int64 0 31	index int64 0 153k	task_index int64 0 31
[ 53, 69, 69 ]	1.298333	1,558	31	149,400	31
[ 61, 88, 82 ]	1.299167	1,559	31	149,401	31
[ 54, 90, 87 ]	1.3	1,560	31	149,402	31
[ 51, 85, 86 ]	1.300833	1,561	31	149,403	31
[ 56, 96, 92 ]	1.301667	1,562	31	149,404	31
[ 55, 83, 84 ]	1.3025	1,563	31	149,405	31
[ 57, 77, 75 ]	1.303333	1,564	31	149,406	31
[ 57, 88, 85 ]	1.304167	1,565	31	149,407	31
[ 54, 88, 87 ]	1.305	1,566	31	149,408	31
[ 63, 83, 79 ]	1.305833	1,567	31	149,409	31
[ 55, 80, 80 ]	1.306667	1,568	31	149,410	31
[ 52, 71, 69 ]	1.3075	1,569	31	149,411	31
[ 62, 64, 65 ]	1.308333	1,570	31	149,412	31
[ 58, 77, 75 ]	1.309167	1,571	31	149,413	31
[ 60, 84, 82 ]	1.31	1,572	31	149,414	31
[ 57, 86, 85 ]	1.310833	1,573	31	149,415	31
[ 58, 110, 108 ]	1.311667	1,574	31	149,416	31
[ 53, 110, 109 ]	1.3125	1,575	31	149,417	31
[ 57, 95, 94 ]	1.313333	1,576	31	149,418	31
[ 78, 88, 88 ]	1.314167	1,577	31	149,419	31
[ 60, 74, 72 ]	1.315	1,578	31	149,420	31
[ 61, 110, 105 ]	1.315833	1,579	31	149,421	31
[ 60, 105, 104 ]	1.316667	1,580	31	149,422	31
[ 66, 110, 108 ]	1.3175	1,581	31	149,423	31
[ 65, 102, 100 ]	1.318333	1,582	31	149,424	31
[ 57, 85, 84 ]	1.319167	1,583	31	149,425	31
[ 59, 91, 89 ]	1.32	1,584	31	149,426	31
[ 57, 92, 91 ]	1.320833	1,585	31	149,427	31
[ 51, 92, 86 ]	1.321667	1,586	31	149,428	31
[ 59, 90, 89 ]	1.3225	1,587	31	149,429	31
[ 59, 74, 72 ]	1.323333	1,588	31	149,430	31
[ 59, 98, 99 ]	1.324167	1,589	31	149,431	31
[ 61, 132, 127 ]	1.325	1,590	31	149,432	31
[ 71, 110, 109 ]	1.325833	1,591	31	149,433	31
[ 68, 108, 102 ]	1.326667	1,592	31	149,434	31
[ 65, 94, 95 ]	1.3275	1,593	31	149,435	31
[ 65, 104, 101 ]	1.328333	1,594	31	149,436	31
[ 54, 79, 79 ]	1.329167	1,595	31	149,437	31
[ 56, 79, 77 ]	1.33	1,596	31	149,438	31
[ 54, 89, 88 ]	1.330833	1,597	31	149,439	31
[ 54, 90, 89 ]	1.331667	1,598	31	149,440	31
[ 62, 83, 80 ]	1.3325	1,599	31	149,441	31
[ 58, 75, 75 ]	1.333333	1,600	31	149,442	31
[ 54, 74, 70 ]	1.334167	1,601	31	149,443	31
[ 50, 80, 77 ]	1.335	1,602	31	149,444	31
[ 51, 83, 82 ]	1.335833	1,603	31	149,445	31
[ 49, 71, 70 ]	1.336667	1,604	31	149,446	31
[ 51, 79, 78 ]	1.3375	1,605	31	149,447	31
[ 48, 75, 73 ]	1.338333	1,606	31	149,448	31
[ 52, 64, 64 ]	1.339167	1,607	31	149,449	31
[ 45, 88, 83 ]	1.34	1,608	31	149,450	31
[ 47, 111, 108 ]	1.340833	1,609	31	149,451	31
[ 70, 84, 84 ]	1.341667	1,610	31	149,452	31
[ 64, 82, 77 ]	1.3425	1,611	31	149,453	31
[ 55, 145, 139 ]	1.343333	1,612	31	149,454	31
[ 57, 111, 111 ]	1.344167	1,613	31	149,455	31
[ 52, 103, 101 ]	1.345	1,614	31	149,456	31
[ 49, 91, 88 ]	1.345833	1,615	31	149,457	31
[ 49, 76, 76 ]	1.346667	1,616	31	149,458	31
[ 56, 66, 64 ]	1.3475	1,617	31	149,459	31
[ 57, 76, 75 ]	1.348333	1,618	31	149,460	31
[ 58, 85, 83 ]	1.349167	1,619	31	149,461	31
[ 50, 71, 71 ]	1.35	1,620	31	149,462	31
[ 51, 74, 70 ]	1.350833	1,621	31	149,463	31
[ 46, 70, 69 ]	1.351667	1,622	31	149,464	31
[ 48, 72, 72 ]	1.3525	1,623	31	149,465	31
[ 50, 72, 70 ]	1.353333	1,624	31	149,466	31
[ 45, 84, 83 ]	1.354167	1,625	31	149,467	31
[ 49, 84, 81 ]	1.355	1,626	31	149,468	31
[ 58, 68, 68 ]	1.355833	1,627	31	149,469	31
[ 54, 83, 81 ]	1.356667	1,628	31	149,470	31
[ 49, 82, 79 ]	1.3575	1,629	31	149,471	31
[ 56, 77, 77 ]	1.358333	1,630	31	149,472	31
[ 53, 73, 70 ]	1.359167	1,631	31	149,473	31
[ 49, 84, 83 ]	1.36	1,632	31	149,474	31
[ 49, 74, 73 ]	1.360833	1,633	31	149,475	31
[ 52, 85, 84 ]	1.361667	1,634	31	149,476	31
[ 48, 75, 74 ]	1.3625	1,635	31	149,477	31
[ 47, 81, 77 ]	1.363333	1,636	31	149,478	31
[ 64, 70, 71 ]	1.364167	1,637	31	149,479	31
[ 59, 64, 61 ]	1.365	1,638	31	149,480	31
[ 50, 91, 90 ]	1.365833	1,639	31	149,481	31
[ 60, 72, 72 ]	1.366667	1,640	31	149,482	31
[ 56, 65, 62 ]	1.3675	1,641	31	149,483	31
[ 49, 108, 104 ]	1.368333	1,642	31	149,484	31
[ 56, 86, 82 ]	1.369167	1,643	31	149,485	31
[ 63, 77, 77 ]	1.37	1,644	31	149,486	31
[ 53, 108, 103 ]	1.370833	1,645	31	149,487	31
[ 49, 99, 100 ]	1.371667	1,646	31	149,488	31
[ 53, 74, 72 ]	1.3725	1,647	31	149,489	31
[ 55, 72, 71 ]	1.373333	1,648	31	149,490	31
[ 51, 92, 86 ]	1.374167	1,649	31	149,491	31
[ 53, 88, 87 ]	1.375	1,650	31	149,492	31
[ 54, 68, 69 ]	1.375833	1,651	31	149,493	31
[ 48, 75, 71 ]	1.376667	1,652	31	149,494	31
[ 45, 71, 71 ]	1.3775	1,653	31	149,495	31
[ 49, 60, 58 ]	1.378333	1,654	31	149,496	31
[ 45, 64, 62 ]	1.379167	1,655	31	149,497	31
[ 50, 80, 79 ]	1.38	1,656	31	149,498	31
[ 61, 62, 60 ]	1.380833	1,657	31	149,499	31

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