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openwebtext-gpt2-packed-1024

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input_ids list	attention_mask list
[ 50256, 13924, 12, 559, 12, 35784, 11, 25051, 357, 18474, 8, 1377, 45591, 4970, 11, 1319, 44556, 287, 2356, 290, 44787, 379, 1204, 11, 7342, 7519, 290, 20669, 2513, 1497, 422, 257, 2214, 4436, 3217, 1755, 706, 257, 21402, 3315, 1074, 2...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 3236, 3146, 286, 6686, 13, 383, 15760, 11, 900, 510, 739, 1811, 29804, 11, 373, 257, 11858, 437, 284, 262, 1178, 508, 547, 9670, 284, 423, 587, 3181, 612, 13, 198, 198, 9781, 1202, 5407, 19090, 13, 5215, 13, 9223, 741, 8835, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 447, 247, 82, 19975, 286, 1301, 447, 247, 82, 2450, 6116, 14846, 588, 257, 12714, 286, 7159, 284, 1282, 13, 198, 198, 447, 250, 2215, 356, 3285, 257, 4540, 329, 1893, 869, 329, 262, 38185, 510, 286, 1105, 1510, 7971, 11, 1947...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 9591, 11, 18655, 76, 31920, 11, 257, 2605, 12525, 13, 31920, 447, 247, 82, 7546, 10109, 423, 5710, 284, 477, 12, 2435, 34119, 10371, 36512, 625, 257, 1644, 4395, 290, 1524, 3542, 654, 11, 290, 465, 11533, 351, 5510, 1605, 4446,...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 11, 355, 22309, 7212, 4424, 75, 2630, 11, 366, 15344, 82, 503, 339, 4001, 339, 1549, 307, 8680, 284, 465, 898, 3809, 13, 2750, 262, 886, 286, 262, 30681, 1785, 11, 1770, 13, 2486, 550, 9635, 329, 15136, 2431, 1377, 5193, 2431...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 21639, 3006, 11, 3296, 49206, 34767, 618, 511, 4004, 21580, 4120, 287, 257, 2647, 2008, 13, 1736, 463, 1843, 3337, 2492, 447, 247, 83, 772, 257, 3860, 1336, 1865, 13, 198, 198, 1722, 262, 14359, 6364, 21050, 284, 5339, 11, 262,...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 1266, 287, 6983, 1461, 13, 8989, 11, 355, 262, 10010, 8391, 11, 262, 845, 1103, 2126, 326, 1123, 2888, 561, 17777, 2672, 762, 6820, 2376, 12657, 5699, 13, 887, 340, 1422, 447, 247, 83, 2300, 851, 611, 428, 373, 26746, 33, 155...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 2695, 373, 407, 36102, 11, 25304, 393, 40557, 11, 339, 531, 13, 564, 250, 5246, 13, 41414, 559, 318, 1290, 1165, 12661, 284, 1975, 428, 284, 307, 523, 13, 447, 251, 383, 42464, 635, 7763, 257, 6454, 38258, 8408, 286, 257, 376...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 11, 340, 447, 247, 82, 534, 9040, 13, 8734, 262, 5129, 2427, 286, 12225, 290, 407, 1804, 1997, 670, 1327, 290, 2648, 262, 5129, 11, 447, 251, 1139, 40766, 13109, 13, 50256, 8888, 11, 20182, 3414, 2458, 287, 12353, 447, 247, 3...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 11, 262, 1923, 1028, 2258, 4969, 1625, 355, 645, 5975, 13, 7148, 2269, 364, 11, 257, 31335, 5887, 329, 955, 24313, 351, 1998, 287, 262, 2351, 4765, 7732, 11, 1297, 7320, 22167, 326, 10075, 4560, 588, 262, 530, 1028, 2258, 4969,...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 547, 788, 1021, 12, 16760, 351, 6588, 13608, 13, 26386, 584, 3354, 547, 3562, 287, 262, 37292, 1430, 42482, 11, 878, 852, 513, 35, 10398, 13, 198, 198, 464, 3463, 2994, 1430, 318, 3257, 25, 1318, 447, 247, 82, 645, 5852, 13, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 262, 1266, 326, 339, 1718, 883, 24205, 1039, 866, 13, 2293, 477, 11, 7288, 4206, 612, 389, 645, 1263, 29206, 418, 287, 262, 1578, 1829, 3845, 13, 50256, 8086, 1463, 0, 770, 1705, 373, 3199, 319, 262, 1468, 2196, 286, 262, 305...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 12235, 8227, 1839, 447, 247, 83, 1745, 262, 1637, 851, 340, 447, 247, 297, 655, 1560, 606, 703, 881, 1637, 484, 714, 423, 7366, 2014, 198, 198, 464, 3061, 11, 339, 2087, 11, 318, 284, 5160, 2063, 257, 2997, 5054, 287, 6426, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 286, 11, 4700, 888, 11, 25866, 13001, 11, 393, 584, 1029, 32655, 290, 337, 9409, 368, 11025, 669, 13, 447, 251, 1215, 7820, 198, 198, 464, 6136, 2276, 286, 262, 1578, 1829, 318, 257, 3026, 3818, 13, 1002, 339, 468, 19837, 739...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 1099, 5394, 3818, 286, 674, 1499, 290, 1276, 10931, 13, 1318, 1276, 307, 281, 4795, 11, 20953, 11, 2354, 5810, 284, 9161, 262, 1301, 1964, 11, 2614, 290, 3176, 8787, 284, 262, 13234, 13, 447, 251, 198, 198, 32998, 4390, 3554, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 3088, 284, 1037, 3415, 3759, 1301, 1592, 262, 471, 13, 50, 13, 12112, 416, 15656, 4390, 3615, 9597, 13, 9070, 468, 6699, 262, 7636, 13, 198, 198, 33528, 389, 1865, 284, 2610, 866, 370, 1236, 330, 563, 447, 247, 82, 4301, 7035...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 340, 351, 262, 5290, 2657, 287, 534, 1021, 1635, 5064, 9, 340, 19575, 534, 1021, 357, 47531, 7157, 14, 38618, 347, 32620, 737, 3811, 1028, 2580, 803, 9135, 7691, 284, 1592, 2872, 711, 290, 8996, 534, 8198, 284, 584, 2137, 33140...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 2706, 4414, 422, 50233, 355, 14621, 364, 11, 257, 4876, 262, 50233, 1690, 1011, 319, 22295, 13, 887, 508, 318, 1804, 262, 1266, 1693, 355, 7078, 805, 30, 25913, 3496, 15802, 355, 257, 1296, 286, 17819, 11, 262, 1708, 318, 281, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 2688, 3834, 32679, 8366, 3337, 287, 9121, 3250, 11, 810, 465, 4006, 373, 44945, 11, 1644, 531, 13, 198, 198, 15137, 661, 547, 10657, 1141, 257, 734, 12, 9769, 48831, 286, 29276, 3502, 1755, 13, 198, 198, 8585, 838, 279, 13, 7...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 11, 4697, 6805, 11, 1390, 262, 6591, 26515, 11, 481, 761, 284, 307, 6928, 416, 262, 886, 286, 262, 12131, 82, 11, 531, 3851, 2047, 29074, 641, 11, 10636, 3437, 286, 8884, 447, 247, 82, 33805, 7458, 13, 3412, 611, 262, 33805, ...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 12, 10365, 3507, 2056, 11, 1957, 7941, 290, 16435, 423, 4888, 5861, 290, 5205, 4478, 262, 976, 15052, 9694, 2615, 11, 290, 1588, 1271, 286, 606, 24456, 262, 15135, 329, 14523, 262, 26665, 25, 198, 198, 2348, 12, 24597, 9189, 30...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
[ 50256, 2102, 11, 355, 4186, 10382, 6496, 287, 428, 1810, 1148, 347, 3255, 3704, 11, 743, 880, 423, 262, 5339, 284, 8076, 379, 1755, 13, 198, 198, 1858, 318, 3058, 645, 5874, 2370, 284, 6216, 262, 779, 286, 257, 5711, 12, 2673, 5194,...	[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...

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Check out the documentation for more information.

OpenWebText — GPT-2 tokenized, block-1024 sentence-packed (`.dat`)

Materialized datasets (HF Arrow) that the DUO/looped-diffusion trainer loads directly via datasets.load_from_disk(...). Two splits:

openwebtext-train_train_bs1024_wrapped.dat/ — train
openwebtext-valid_validation_bs1024_wrapped.dat/ — validation

Recipe: openwebtext -> GPT-2 tokenizer -> concatenate + chunk into blocks of 1022 tokens, each wrapped with [BOS] ... [EOS] (block size 1024). This is the EXACT packing the runs consumed; regenerating it on another machine is not guaranteed bit-identical (packing is sharded by .map num_proc / CPU count), so use these files as-is for a faithful resume.

Use

from datasets import load_from_disk
ds = load_from_disk("openwebtext-train_train_bs1024_wrapped.dat").with_format("torch")

Or point the trainer's DUO_DATASETS_ROOT at the dir holding both .dat folders.

host: h100 created_utc: 2026-07-19T06:48:04Z git: fda99ca branch: h100_branch

Downloads last month: -

Number of rows:

831,176

Estimated number of rows:

8,937,469

Total file size:

72.5 GB

OpenWebText — GPT-2 tokenized, block-1024 sentence-packed (.dat)

Use

OpenWebText — GPT-2 tokenized, block-1024 sentence-packed (`.dat`)