Datasets:

Ba2han
/

tokenized_translation

input_ids list	num_tokens int32	augmentation_id int8
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[ 2, 4939, 904, 27194, 12311, 1129, 410, 5025, 266, 11183, 1652, 2096, 369, 842, 10827, 272, 4028, 281, 2039, 1001, 266, 3302, 16125, 260, 49732, 336, 50340, 14991, 15840, 414, 262, 341, 7386, 1346, 414, 262, 341, 13904, 1346, 414, 262, ...	1,269	6
[ 2, 4939, 282, 22097, 28915, 267, 4578, 54642, 25750, 3744, 15371, 349, 5887, 4384, 5413, 322, 360, 1897, 2560, 4205, 32749, 317, 342, 476, 3246, 343, 1919, 343, 897, 11554, 1912, 3091, 1058, 7595, 522, 2305, 311, 743, 40827, 875, 316, ...	796	0
[ 2, 2109, 7392, 282, 52655, 495, 2871, 3723, 320, 14657, 322, 262, 1871, 299, 654, 287, 30020, 261, 2958, 495, 2871, 44854, 3723, 859, 262, 1871, 654, 813, 928, 41182, 265, 612, 6325, 260, 14751, 51883, 710, 1314, 44854, 470, 3079, 309...	801	7
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[ 2, 4939, 27194, 12311, 1129, 410, 5025, 266, 11183, 1652, 2096, 369, 842, 10827, 272, 4028, 281, 2039, 1001, 266, 3302, 16125, 260, 49732, 336, 50340, 14991, 15840, 414, 262, 341, 7386, 1346, 414, 262, 341, 13904, 1346, 414, 262, 1035, ...	1,266	2
[ 2, 2109, 7392, 282, 48710, 9682, 310, 345, 44188, 4903, 264, 1893, 25211, 13679, 9009, 1845, 1132, 576, 3689, 4021, 7840, 13679, 9009, 8092, 19334, 5317, 57245, 367, 34782, 9570, 448, 14944, 43422, 1242, 26860, 1182, 331, 844, 3729, 18585...	2,498	7
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[ 2, 25996, 282, 51299, 375, 260, 26757, 386, 3005, 7326, 289, 279, 1868, 9074, 292, 366, 822, 335, 260, 35012, 1127, 263, 801, 8199, 433, 7555, 4181, 260, 3401, 496, 261, 1698, 1271, 264, 794, 3319, 263, 612, 1754, 829, 2196, 1394, 3...	3,143	3
[ 2, 25996, 2016, 12825, 261, 727, 11102, 387, 39498, 1860, 345, 669, 30397, 4955, 280, 31919, 3483, 438, 747, 38065, 2218, 23253, 18808, 16552, 317, 14991, 588, 260, 10921, 25350, 588, 260, 10921, 53016, 294, 588, 260, 10921, 260, 16328, ...	1,266	3
[ 2, 4939, 282, 640, 405, 11341, 45801, 298, 2706, 324, 9894, 23341, 261, 360, 405, 2300, 658, 278, 266, 4014, 13046, 271, 13679, 9009, 262, 260, 3683, 16499, 302, 266, 3958, 272, 28830, 25384, 298, 392, 266, 13679, 9009, 8785, 26595, 4...	2,496	0
[ 2, 2109, 282, 12311, 261, 727, 11102, 387, 39498, 1860, 345, 669, 30397, 4955, 280, 31919, 3483, 438, 747, 38065, 2218, 23253, 18808, 16552, 317, 14991, 588, 260, 10921, 25350, 588, 260, 10921, 53016, 294, 588, 260, 10921, 260, 16328, 1...	1,267	1
[ 2, 4939, 282, 2807, 292, 28505, 528, 260, 37240, 918, 278, 266, 1502, 3302, 40587, 317, 23905, 13355, 4037, 374, 266, 2889, 30944, 261, 13048, 321, 558, 1123, 59856, 10573, 2017, 272, 266, 29346, 6123, 5781, 292, 28505, 528, 405, 918, ...	667	2
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[ 2, 2109, 282, 971, 9925, 12870, 312, 419, 1633, 965, 7413, 260, 8829, 260, 8439, 264, 38447, 12291, 29235, 5867, 268, 263, 27191, 3938, 268, 513, 5249, 7094, 291, 863, 16498, 773, 8140, 261, 260, 2527, 14574, 279, 2366, 263, 3932, 260...	2,470	1
[ 2, 4939, 282, 5053, 35896, 270, 27068, 261, 28763, 260, 36281, 52801, 267, 302, 32046, 359, 8921, 3529, 271, 27068, 288, 9387, 1137, 369, 4046, 1274, 2188, 3622, 20886, 262, 260, 27165, 260, 19847, 16847, 396, 1019, 23390, 7325, 326, 28...	2,419	2
[ 2, 1983, 39722, 1817, 25979, 449, 6666, 28915, 267, 4578, 54642, 25750, 3744, 15371, 349, 5887, 4384, 5413, 322, 360, 1897, 2560, 4205, 32749, 317, 342, 476, 3246, 343, 1919, 343, 897, 11554, 1912, 3091, 1058, 7595, 522, 2305, 311, 743,...	800	4
[ 2, 4939, 904, 282, 25979, 449, 6666, 28915, 267, 4578, 54642, 25750, 3744, 15371, 349, 5887, 4384, 5413, 322, 360, 1897, 2560, 4205, 32749, 317, 342, 476, 3246, 343, 1919, 343, 897, 11554, 1912, 3091, 1058, 7595, 522, 2305, 311, 743, ...	800	6
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[ 2, 4939, 282, 2826, 5480, 57601, 330, 9436, 260, 10241, 1068, 20041, 352, 32186, 361, 12073, 298, 810, 272, 23980, 26062, 9436, 330, 731, 2709, 309, 9752, 839, 266, 1068, 20041, 352, 1890, 336, 57899, 16377, 3408, 36808, 261, 1631, 1167...	1,865	2
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[ 2, 2109, 282, 22848, 1232, 2206, 2029, 517, 11684, 31188, 2111, 7308, 1483, 1394, 1868, 261, 3922, 534, 263, 11684, 275, 954, 764, 1734, 11684, 275, 1775, 4125, 262, 39821, 355, 263, 394, 3062, 16269, 387, 338, 2206, 2029, 517, 11684, ...	1,859	1

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Tokenized English-Turkish Translation Corpus

Format-augmented and tokenized subset of Ba2han/finetranslations-TR_filtered, built with Ba2han/outputs.

Token amounts

Metric	Amount
Target tokens	500,000,000
Actual tokens	500,000,186
Full-example overshoot	186
Output rows	343,740
Average tokens/row	1,454.59
Minimum tokens/row	441
Maximum tokens/row	5,472
Source rows scanned	204,362
Source rows passing filters	42,976
Parquet shards	4
Build time	0.10 hours

The script stops after the first complete example that reaches the target, so no example is cut merely to make the total exactly 500,000,000 tokens.

Filters

total_token_count > 800
og_quality_score > 0.05

translated_text is formatted as English and og_full_text as Turkish, as specified for this build.

Output columns

input_ids: token IDs from Ba2han/outputs
num_tokens: length of input_ids
augmentation_id: formatting variant from 0 through 7

Tokenization uses add_special_tokens=True, with no padding and no truncation. An attention mask is not stored because every saved sequence is unpadded.

{
  "bos_token": "<bos>",
  "bos_token_id": 2,
  "eos_token": "<eos>",
  "eos_token_id": 3,
  "pad_token": "<pad>",
  "pad_token_id": 0
}

Tokens by augmentation

ID	Template	Rows	Tokens	Average	Min	Max
0	`English: ...\nTurkish: ...`	42,965	62,451,999	1,453.56	442	5,469
1	`Türkçe: ...\n\nEnglish: ...`	42,973	62,460,327	1,453.48	442	5,469
2	`English:\n...\n\nTürkçe:\n...`	42,966	62,419,132	1,452.76	441	5,468
3	`Turkish:\n...\n\nEnglish:\n...`	42,966	62,454,483	1,453.58	442	5,469
4	`[English]\n...\n\n[Turkish]\n...`	42,966	62,556,486	1,455.95	444	5,471
5	`[Türkçe]\n...\n\n[English]\n...`	42,969	62,528,589	1,455.20	443	5,470
6	`English text:\n...\n\nTurkish text:\n...`	42,970	62,573,215	1,456.21	445	5,472
7	`Türkçe metin:\n...\n\nİngilizce metin:\n...`	42,965	62,555,955	1,455.97	444	5,471

Tokens by shard

Shard	File	Rows	Tokens	Compressed size
0	`train-00000-of-00004.parquet`	100,000	145,603,263	61.85 MiB
1	`train-00001-of-00004.parquet`	100,000	145,557,942	61.85 MiB
2	`train-00002-of-00004.parquet`	100,000	144,621,306	61.32 MiB
3	`train-00003-of-00004.parquet`	43,740	64,217,675	27.32 MiB

Load

from datasets import load_dataset

ds = load_dataset("Ba2han/tokenized_translation", split="train")

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