semran1/block-pack · Datasets at Hugging Face

token_ids listlengths 4.1k 4.1k	source stringclasses 1 value
[ 10948, 429, 56096, 504, 55218, 311, 279, 18141, 13992, 3143, 1674, 1207, 64, 527, 318, 7873, 20, 60, 11445, 18580, 8645, 572, 20459, 11, 304, 949, 11, 553, 91497, 13142, 13, 11954, 279, 1156, 3040, 1635, 315, 16730, 30234, 24327, 320, ...	semran1/blockwise-sample
[ 3943, 504, 15668, 320, 85, 25392, 45635, 10170, 553, 458, 477, 13803, 4849, 1105, 11, 1221, 279, 274, 4475, 1021, 7023, 2845, 28635, 304, 9210, 323, 5144, 6010, 11, 518, 3245, 304, 60720, 13, 2055, 304, 279, 19265, 315, 25323, 45635, ...	semran1/blockwise-sample
[ 1688, 32719, 11932, 1445, 25, 1372, 1648, 914, 16613, 341, 262, 1554, 257, 353, 31075, 279, 729, 32719, 11932, 429, 4990, 458, 7546, 308, 438, 264, 5733, 345, 257, 353, 323, 4675, 264, 220, 17, 35, 1334, 1380, 1817, 9179, 1334, 10868,...	semran1/blockwise-sample
[ 89, 7751, 88, 355, 448, 429, 315, 6168, 13, 576, 42851, 315, 730, 23162, 14758, 429, 350, 89, 7751, 88, 355, 374, 911, 264, 1616, 315, 5382, 264, 2272, 41318, 825, 1558, 537, 96128, 3850, 4137, 12893, 315, 806, 476, 1059, 1660, 320,...	semran1/blockwise-sample
[ 13455, 323, 65258, 4714, 382, 7983, 18210, 646, 5240, 54303, 323, 4344, 311, 25785, 1075, 21127, 323, 12182, 11, 279, 13495, 525, 8789, 803, 10502, 1091, 6961, 320, 36141, 429, 7838, 3171, 1405, 3076, 807, 3129, 894, 2686, 18310, 3593, ...	semran1/blockwise-sample
[ 701, 3963, 2554, 488, 21, 21, 11616, 4102, 18, 18, 38515, 4102, 18, 23, 13, 20, 20, 21580, 198, 220, 7288, 4882, 25, 1290, 14601, 2645, 220, 21, 71, 220, 15, 76, 220, 15, 13, 15, 82, 320, 46385, 701, 3963, 2554, 24196, 21, 21, ...	semran1/blockwise-sample
[ 693, 64877, 445, 370, 370, 8904, 497, 220, 17, 340, 257, 353, 220, 20, 198, 257, 2791, 262, 442, 4248, 421, 279, 3084, 315, 279, 914, 374, 2686, 1091, 595, 198, 262, 421, 320, 82, 1954, 366, 595, 8, 341, 286, 470, 220, 15, 280, ...	semran1/blockwise-sample
[ 11, 379, 12, 16, 317, 262, 3634, 262, 442, 9008, 279, 1760, 315, 29000, 198, 262, 526, 1760, 284, 220, 15, 280, 262, 442, 54340, 1526, 1817, 2309, 304, 279, 5827, 198, 262, 369, 320, 2141, 528, 600, 284, 220, 15, 26, 600, 366, 5...	semran1/blockwise-sample
[ 429, 702, 86320, 20976, 5380, 369, 916, 264, 9294, 13, 11445, 6291, 686, 1373, 264, 5538, 8660, 315, 35972, 18940, 323, 264, 46899, 11064, 11, 714, 279, 4650, 21160, 525, 5089, 13, 576, 3491, 594, 3633, 311, 1008, 5671, 315, 37596, 32...	semran1/blockwise-sample
[ 31205, 8, 646, 3545, 387, 1483, 311, 9463, 13910, 55441, 304, 30193, 311, 55441, 304, 18927, 476, 4558, 2704, 55441, 13, 1205, 686, 537, 4774, 311, 15908, 1064, 419, 17508, 1588, 382, 2132, 374, 537, 5000, 311, 5695, 320, 21, 701, 320...	semran1/blockwise-sample
[ 432, 374, 537, 2588, 311, 990, 279, 3403, 6358, 311, 1473, 429, 369, 369, 1045, 2613, 10740, 6783, 1154, 825, 702, 448, 22024, 18927, 13, 22454, 5740, 419, 448, 264, 7781, 2845, 46516, 2319, 315, 279, 794, 72, 3818, 20645, 49006, 5781...	semran1/blockwise-sample
[ 6238, 504, 220, 16, 17, 15, 21, 311, 220, 16, 17, 24, 15, 25, 1207, 332, 65, 12, 661, 1737, 258, 23905, 69822, 11, 264, 20362, 315, 35731, 23908, 13601, 16009, 311, 2355, 2701, 806, 7341, 594, 4545, 13, 1752, 4558, 264, 9294, 11, ...	semran1/blockwise-sample
[ 50950, 220, 220, 16, 24, 13, 6306, 330, 60795, 6787, 323, 3908, 5868, 25, 36569, 1574, 325, 12415, 315, 3738, 33463, 82300, 812, 304, 7748, 44893, 2010, 3263, 576, 8878, 20416, 68, 905, 13, 57791, 220, 19, 6652, 220, 17, 15, 16, 16,...	semran1/blockwise-sample
[ 220, 4102, 11395, 1156, 315, 678, 358, 1744, 678, 315, 601, 304, 279, 70905, 1033, 2952, 311, 1490, 429, 6271, 646, 387, 1075, 264, 14473, 3922, 481, 714, 1657, 315, 601, 4936, 4564, 448, 1008, 49694, 11, 773, 7196, 582, 525, 31061, ...	semran1/blockwise-sample
[ 3545, 2598, 330, 4044, 61900, 1, 320, 22029, 220, 24, 701, 3887, 304, 279, 17171, 323, 18521, 2525, 311, 279, 7329, 7241, 432, 374, 6319, 476, 62757, 624, 3862, 374, 825, 458, 757, 292, 11, 476, 5538, 7795, 24181, 9419, 304, 34995, ...	semran1/blockwise-sample
[ 4935, 315, 85536, 5086, 6116, 5257, 398, 5815, 448, 279, 13364, 315, 279, 7015, 320, 8206, 8469, 1449, 3729, 323, 572, 12366, 1512, 92292, 1449, 6556, 438, 730, 383, 68608, 701, 279, 1186, 68669, 32461, 1879, 320, 1782, 8580, 6430, 369,...	semran1/blockwise-sample
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semran1/blockwise-sample

[ 3943, 504, 15668, 320, 85, 25392, 45635, 10170, 553, 458, 477, 13803, 4849, 1105, 11, 1221, 279, 274, 4475, 1021, 7023, 2845, 28635, 304, 9210, 323, 5144, 6010, 11, 518, 3245, 304, 60720, 13, 2055, 304, 279, 19265, 315, 25323, 45635, ...

semran1/blockwise-sample

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semran1/blockwise-sample

[ 89, 7751, 88, 355, 448, 429, 315, 6168, 13, 576, 42851, 315, 730, 23162, 14758, 429, 350, 89, 7751, 88, 355, 374, 911, 264, 1616, 315, 5382, 264, 2272, 41318, 825, 1558, 537, 96128, 3850, 4137, 12893, 315, 806, 476, 1059, 1660, 320,...

semran1/blockwise-sample

[ 13455, 323, 65258, 4714, 382, 7983, 18210, 646, 5240, 54303, 323, 4344, 311, 25785, 1075, 21127, 323, 12182, 11, 279, 13495, 525, 8789, 803, 10502, 1091, 6961, 320, 36141, 429, 7838, 3171, 1405, 3076, 807, 3129, 894, 2686, 18310, 3593, ...

semran1/blockwise-sample

[ 701, 3963, 2554, 488, 21, 21, 11616, 4102, 18, 18, 38515, 4102, 18, 23, 13, 20, 20, 21580, 198, 220, 7288, 4882, 25, 1290, 14601, 2645, 220, 21, 71, 220, 15, 76, 220, 15, 13, 15, 82, 320, 46385, 701, 3963, 2554, 24196, 21, 21, ...

semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

[ 429, 702, 86320, 20976, 5380, 369, 916, 264, 9294, 13, 11445, 6291, 686, 1373, 264, 5538, 8660, 315, 35972, 18940, 323, 264, 46899, 11064, 11, 714, 279, 4650, 21160, 525, 5089, 13, 576, 3491, 594, 3633, 311, 1008, 5671, 315, 37596, 32...

semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample

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semran1/blockwise-sample