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zachnorton03
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bart-midtrain

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English
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10K<n<100K
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Tags:
books
historical
pre-1930
ocr
midtraining
stem
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zachnorton03 commited on
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964a33d
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1 Parent(s): 65c2d72

Restructure: copy batch 6 (293 files)

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  1. .gitattributes +1 -0
  2. corpus/shard_00000.parquet +3 -0
  3. corpus/shard_00001.parquet +3 -0
  4. corpus/shard_00002.parquet +3 -0
  5. corpus/shard_00003.parquet +3 -0
  6. corpus/shard_00004.parquet +3 -0
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  17. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00039.parquet.json +1 -0
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  22. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00044.parquet.json +1 -0
  23. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00045.parquet.json +1 -0
  24. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00046.parquet.json +1 -0
  25. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00047.parquet.json +1 -0
  26. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00048.parquet.json +1 -0
  27. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00049.parquet.json +1 -0
  28. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00050.parquet.json +1 -0
  29. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00051.parquet.json +1 -0
  30. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00052.parquet.json +1 -0
  31. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00053.parquet.json +1 -0
  32. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00054.parquet.json +1 -0
  33. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00055.parquet.json +1 -0
  34. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00056.parquet.json +1 -0
  35. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00057.parquet.json +1 -0
  36. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00058.parquet.json +1 -0
  37. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00059.parquet.json +1 -0
  38. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00060.parquet.json +1 -0
  39. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00061.parquet.json +1 -0
  40. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00062.parquet.json +1 -0
  41. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00063.parquet.json +0 -0
  42. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00064.parquet.json +1 -0
  43. mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00065.parquet.json +1 -0
  44. mixtures/v2-by-tokens/ratio_45/README.md +98 -0
  45. mixtures/v2-by-tokens/ratio_45/data/shard_00000.parquet +3 -0
  46. mixtures/v2-by-tokens/ratio_45/data/shard_00001.parquet +3 -0
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  48. mixtures/v2-by-tokens/ratio_45/data/shard_00003.parquet +3 -0
  49. mixtures/v2-by-tokens/ratio_45/data/shard_00004.parquet +3 -0
  50. mixtures/v2-by-tokens/ratio_45/data/shard_00005.parquet +3 -0
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mixtures/v2-by-tokens/ratio_21/shard_meta/shard_00041.parquet.json ADDED
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mixtures/v2-by-tokens/ratio_45/README.md ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Mixed corpus v2 -- ratio_45 (45% midtrain by tokens)
2
+
3
+ Blend of [`zachnorton03/think-midtrain/stage5/data`](https://huggingface.co/datasets/zachnorton03/think-midtrain/tree/main/stage5/data)
4
+ (midtrain) and [`jbduran/think-dataset-clean-1930s`](https://huggingface.co/datasets/jbduran/think-dataset-clean-1930s/tree/main) (original
5
+ pretraining corpus), produced by `midtraining_mix_repair.ipynb`. Text-only shards (`text` column),
6
+ document boundaries preserved -- nothing is concatenated or split to force the ratio.
7
+
8
+ **This supersedes `mixed/ratio_45`**, which targeted its ratio by document count and
9
+ therefore under-delivered midtrain content by token. That folder is left untouched.
10
+
11
+ ## Composition (measured with the run's exact tokenizer, BOS counted per document)
12
+
13
+ | | tokens | share |
14
+ |---|---|---|
15
+ | midtrain | 933,536,546 | 45.0018% |
16
+ | pretraining | 1,140,908,221 | 54.9982% |
17
+ | **train total** | **2,074,444,767** | |
18
+ | validation (`shard_00033.parquet`) | 22,788,633 | 43.47% midtrain |
19
+
20
+ - Target: **45.00% midtrain**; achieved **45.0559%** over the
21
+ first 2,013,265,920 tokens the run actually consumes
22
+ (+0.0559 pp), **45.0018%** over the whole upload.
23
+ - The ratio is enforced by a ratio-tracking interleave, so it holds over *every* prefix, not just
24
+ the total.
25
+ - Supply: 2,074,444,767 train tokens vs 2,013,265,920 consumed
26
+ (1.0304x, 3% margin requested).
27
+
28
+ ## Provenance
29
+
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+ - Tokenizer: `jbduran/think.nano/experiments/clean1930s-d24-r12-ctx4096-sssl-fulltok-v1/tokenizer` (`rustbpe`, vocab 32,768),
31
+ fingerprint `89eafb1654dd04803378868d31d8efe2801873391a4f3df074d7f58544b110bf`
32
+ - Midtrain source: `zachnorton03/think-midtrain/stage5/data` @ `09259d82d3f3237de346a3718a4e07c5195ab824`
33
+ - Pretraining source: `jbduran/think-dataset-clean-1930s` @ `45225d95bc15f942be3b4b344738cea1f66e3de8`, shards
34
+ 425..448 (24 shards, starting
35
+ 90% through the corpus). Disjoint from the base run's shards
36
+ 0..329 and from the other v2 mixture.
37
+ - Generator: `think.nano-midtraining` @ `None`
38
+ - Shuffle seed: `42` (windowed shuffle, 3-shard window for the
39
+ pretraining side, 3 for midtrain)
40
+
41
+ ## Repetition and separation
42
+
43
+ - Pretraining documents: 7,370 unique, **no repeats** (0 repeated ids,
44
+ 0 duplicate text hashes).
45
+ - Midtrain documents repeat by design: 18,289 emissions of
46
+ 11,273 unique documents =
47
+ **1.5596 effective epochs** by tokens (1.6224 by
48
+ documents), starting 44% into the shuffled midtrain order and wrapping.
49
+ - Validation is a held-out shard (212 documents); its documents appear nowhere in
50
+ training (0 id overlaps, 0 hash overlaps).
51
+ - Cross-source text overlap: 0.
52
+ - Dedup at index time removed 0 pretraining duplicates and
53
+ 0 documents that duplicated midtrain content.
54
+
55
+ ## Layout
56
+
57
+ `mixed/v2/ratio_45/data/shard_NNNNN.parquet` -- 33 train shards (indices 0..32) plus the
58
+ validation shard at index 33. Per-shard sidecars with every document's id, source,
59
+ occurrence, chars, exact tokens and text hash live in `mixed/v2/ratio_45/shard_meta/`.
60
+
61
+ | shard | split | docs | tokens | midtrain | sha256 |
62
+ |---|---|---|---|---|---|
63
+ | `shard_00000.parquet` | train | 916 | 65,415,824 | 45.19% | `fcdba371f9e1067f...` |
64
+ | `shard_00001.parquet` | train | 876 | 64,172,439 | 44.45% | `8f16f497123e01fd...` |
65
+ | `shard_00002.parquet` | train | 926 | 64,760,283 | 44.91% | `67855bfb87617c46...` |
66
+ | `shard_00003.parquet` | train | 931 | 64,145,664 | 45.04% | `c371ecdd0f563399...` |
67
+ | `shard_00004.parquet` | train | 1,048 | 64,448,692 | 45.28% | `26d0e2294e01ce79...` |
68
+ | `shard_00005.parquet` | train | 824 | 64,993,694 | 44.94% | `ff3d0a783428bd65...` |
69
+ | `shard_00006.parquet` | train | 820 | 65,108,738 | 46.13% | `09135ea15e9cfb6b...` |
70
+ | `shard_00007.parquet` | train | 827 | 65,265,459 | 46.37% | `fc7dbaf027b40f12...` |
71
+ | `shard_00008.parquet` | train | 783 | 65,401,294 | 46.10% | `61698fb0c7ea619e...` |
72
+ | `shard_00009.parquet` | train | 681 | 64,278,692 | 45.32% | `57d776980e39bed8...` |
73
+ | `shard_00010.parquet` | train | 642 | 62,562,998 | 43.71% | `cc9ca64f0cca14cf...` |
74
+ | `shard_00011.parquet` | train | 592 | 62,538,627 | 43.73% | `c21d52e8775d6fef...` |
75
+ | `shard_00012.parquet` | train | 571 | 62,725,614 | 43.59% | `b6c9996e3b65c240...` |
76
+ | `shard_00013.parquet` | train | 643 | 62,234,413 | 43.54% | `4aa3bf668f2b6be4...` |
77
+ | `shard_00014.parquet` | train | 636 | 63,024,871 | 44.42% | `6f5c07082a5df5c1...` |
78
+ | `shard_00015.parquet` | train | 593 | 63,166,862 | 44.61% | `770ed8021f9a0639...` |
79
+ | `shard_00016.parquet` | train | 539 | 63,250,420 | 44.23% | `ae6d165a7518a415...` |
80
+ | `shard_00017.parquet` | train | 619 | 63,458,126 | 44.66% | `f19a42e1be8059f7...` |
81
+ | `shard_00018.parquet` | train | 834 | 64,205,415 | 44.83% | `52da013ce8bcda3d...` |
82
+ | `shard_00019.parquet` | train | 839 | 64,223,853 | 45.61% | `926cb59b7ef363ce...` |
83
+ | `shard_00020.parquet` | train | 934 | 64,381,159 | 45.32% | `2ee71f5333942218...` |
84
+ | `shard_00021.parquet` | train | 950 | 64,789,383 | 45.44% | `5c41cf4834ec82d7...` |
85
+ | `shard_00022.parquet` | train | 875 | 64,065,456 | 44.92% | `306fef259c932da6...` |
86
+ | `shard_00023.parquet` | train | 981 | 64,436,670 | 44.94% | `fbf9b88b9337d202...` |
87
+ | `shard_00024.parquet` | train | 929 | 63,797,344 | 45.12% | `3e4955e37a53160e...` |
88
+ | `shard_00025.parquet` | train | 1,021 | 64,430,138 | 45.03% | `3da5904833f830c6...` |
89
+ | `shard_00026.parquet` | train | 832 | 64,590,269 | 45.62% | `33464c9856d57263...` |
90
+ | `shard_00027.parquet` | train | 786 | 64,797,561 | 45.52% | `3eee2f8816c0948b...` |
91
+ | `shard_00028.parquet` | train | 846 | 65,114,197 | 47.08% | `d1227d080a014019...` |
92
+ | `shard_00029.parquet` | train | 816 | 65,774,411 | 46.04% | `a3de1b0c284a79cd...` |
93
+ | `shard_00030.parquet` | train | 699 | 63,907,666 | 44.88% | `2019dbe06e39bd43...` |
94
+ | `shard_00031.parquet` | train | 644 | 62,309,023 | 44.07% | `d7786408788df96f...` |
95
+ | `shard_00032.parquet` | train | 206 | 22,669,512 | 42.34% | `9c096c5e2160c03d...` |
96
+ | `shard_00033.parquet` | validation | 212 | 22,788,633 | 43.47% | `2bd7c1e1334bd192...` |
97
+
98
+ Updated: 2026-08-08T03:15:13Z
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