Datasets:

kdirgul
/

smartcore-v1-data

input_ids listlengths 2.05k 2.05k	source stringclasses 2 values	lang stringclasses 2 values
[ 5577, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47757, 47...	code_codeparrot	code
[ 14, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 569, 2081, 2806, 3002, 47649, 1848, 516, 3557, 270, 1998, 47666, 1633, 6574, 16328, 569, 14, 47644, 47644, 47644, 47644, 47644, 47644...	code_codeparrot	code
[ 11209, 14, 47644, 47644, 47644, 569, 47711, 47711, 14, 47644, 47644, 47644, 11209, 3606, 324, 47664, 47666, 293, 1473, 3554, 310, 47701, 1034, 47660, 47698, 14, 47644, 47644, 47644, 782, 324, 47664, 47666, 1114, 546, 47654, 16605, 47701, 10...	code_codeparrot	code
[ 47644, 47681, 1540, 47644, 47644, 47682, 18724, 45359, 14, 14, 47644, 47644, 47644, 47644, 47644, 24381, 47753, 2751, 47740, 47653, 1729, 480, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 476...	code_codeparrot	code
[ 47644, 47644, 5577, 47644, 47644, 47682, 47694, 47682, 47714, 33042, 326, 35542, 12691, 30712, 14, 47644, 47644, 47644, 3211, 47697, 47786, 47650, 47697, 47644, 47644, 47644, 47644, 47644, 47644, 5577, 47644, 47644, 47682, 47694, 47682, 47707, ...	code_codeparrot	code
[ 2021, 1772, 42796, 4899, 1915, 466, 1958, 14294, 348, 14, 47644, 47644, 47644, 3211, 47697, 47695, 47697, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 5577, 47644, 47644, 47682, 47694, 47712, 47684, 33042, 466, 2021, 1772, 42796, 4899, 19...	code_codeparrot	code
[ 47682, 47681, 47717, 47654, 47697, 47644, 47644, 5577, 47644, 47644, 47682, 47694, 47714, 47684, 33042, 466, 2021, 1772, 42796, 4899, 1915, 466, 1958, 14294, 1071, 435, 42947, 42449, 2516, 14, 47644, 47644, 47644, 3211, 47697, 47786, 47656, 4...	code_codeparrot	code
[ 47644, 5577, 47644, 47644, 47682, 47694, 29676, 33042, 466, 2021, 1772, 42796, 4899, 1915, 466, 1958, 14294, 381, 435, 42947, 374, 11295, 1134, 2050, 4063, 14, 47644, 47644, 47644, 3211, 47697, 47786, 47656, 47682, 47681, 47681, 47646, 47697,...	code_codeparrot	code
[ 6046, 47666, 1313, 47753, 14, 47757, 41354, 5858, 7159, 29987, 304, 47708, 47666, 47682, 47751, 387, 7079, 46721, 47705, 8987, 384, 7178, 2438, 3472, 47666, 2409, 47656, 47666, 2935, 47721, 11821, 8128, 47721, 47662, 590, 47680, 47708, 47666,...	code_codeparrot	code
[ 19456, 1173, 47711, 3320, 3557, 3230, 47666, 19456, 47666, 1173, 47701, 31692, 47698, 14, 47644, 47644, 47644, 782, 387, 5787, 3606, 47746, 569, 19456, 47711, 3320, 14, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 782, 2641, 47701, 31692,...	code_codeparrot	code
[ 47644, 47644, 47644, 1323, 7924, 46888, 27269, 37836, 1604, 47701, 47745, 264, 4223, 47668, 24859, 47660, 5009, 4223, 3320, 14, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 569, 47711, 47711, 28907, 46888, 27269, 37836, 1604, 47701, 1954, ...	code_codeparrot	code
[ 1915, 47698, 33042, 19068, 13822, 651, 2937, 271, 14, 14, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 7924, 274, 16008, 18730, 367, 552, 1831, 47666, 47644, 777, 336, 5210, 782, 522, 2064, 14, 47644, 47644, 47644, 47644, 47644, 47644, ...	code_codeparrot	code
[ 47746, 47680, 47681, 47668, 3830, 300, 10057, 47746, 24124, 820, 47659, 24645, 300, 47668, 47644, 14, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 15950, 2098, 47746, 36435, 28108, 47690, 42973, 47668, 13415, 208...	code_codeparrot	code
[ 47694, 47666, 34849, 372, 47666, 47678, 295, 34849, 372, 47718, 2011, 484, 47767, 367, 657, 779, 14, 47644, 47644, 47644, 552, 47666, 14, 47644, 47644, 47644, 569, 47711, 47711, 14, 47644, 3557, 28259, 12871, 47653, 47740, 47666, 47686, 387...	code_codeparrot	code
[ 4223, 47668, 24859, 47660, 5009, 4223, 3320, 14, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 569, 47711, 47711, 14, 47644, 47644, 47644, 47644, 47644, 47644, 47644, 18894, 47701, 34849, 372, 7712, 47668, 1409, 1261, 47746, 47680, 47681, ...	code_codeparrot	code
[ 47682, 5577, 42545, 47644, 14, 14173, 18549, 4334, 47701, 47740, 32596, 47666, 12741, 2299, 3320, 14, 47644, 47644, 47644, 569, 47711, 47711, 10585, 47694, 47659, 298, 355, 24166, 18549, 4334, 1831, 47711, 47711, 47711, 14, 47644, 47644, 4764...	code_codeparrot	code
[ 47668, 416, 643, 2106, 274, 2088, 298, 14, 47644, 47644, 47644, 274, 8894, 26545, 47666, 6476, 15295, 47669, 47694, 47666, 34849, 372, 47666, 47678, 295, 34849, 372, 47718, 2011, 484, 47767, 367, 657, 779, 14, 47644, 47644, 47644, 552, 47...	code_codeparrot	code

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SmartCore V4 — Pretraining Verisi (12B token, EN+TR+kod+math)

SmartCore V4 (sıfırdan ~180M Mamba-3 SISO + GQA 5:1 hibrit, EN temel + TR ikincil) projesinin ön-tokenize edilmiş, dekontamine pretraining verisi.

Tokenizer: kdirgul/smartcore-v4 → tokenizer/ (48K SentencePiece, byte_fallback, EN+TR).
Paketleme: Her doküman encode + EOS → ardışık 2048 token'lık dizilere paketlendi (doc-arası carry-over). Padding yok.
Format: parquet shard'lar, şema {input_ids: list<uint16>[2048], source: str, lang: str}. uint16 (token id < 48000).
Oluşturma: 2026-06-05, kod/faz1_01_tokenize_shard.py (proje deposu).

İçerik (toplam 12.00B token, 181 shard, ~18GB)

Kaynak (`source`)	Köken	lang	Token	Shard
`en_fineweb_edu`	HuggingFaceFW/fineweb-edu (sample-10BT)	en	6.60B	99
`tr_fineweb2_hq`	epfml/FineWeb2-HQ (tur_Latn)	tr	2.64B	40
`code_codeparrot`	codeparrot/codeparrot-clean	code	1.56B	24
`math_openwebmath`	open-web-math/open-web-math	math	1.20B	18

Her kaynak <source>/shard_*.parquet + <source>/manifest.json altında.

Eğitim karışımı (mixture)

Shard'lar kaynak-bazlı saklanır; oranlar eğitimde uygulanır: %55 EN / %22 TR / %13 kod / %10 math. (Decay/anneal fazında top-quartile alt küme — bkz. proje kılavuzu.)

Dekontaminasyon

Eval paneline karşı 13-gram örtüşmesiyle kontamine dokümanlar çıkarıldı (kod/decontam.py). Eval panel (9/11 set): Belebele-tr, XNLI-tr, XCOPA-tr, TR-MMLU + HellaSwag, ARC-E/C, BoolQ, MMLU. (MKQA + PIQA gate/script nedeniyle hariç.)

Kaynak	Atlanan doküman
EN	8587 (%0.14 — en çok; İngilizce eval örtüşmesi)
TR	101 (%0.002)
Kod	22
Math	619 (%0.13)

Yükleme

from datasets import load_dataset
ds = load_dataset("kdirgul/smartcore-v4-data", data_dir="en_fineweb_edu", split="train", streaming=True)
ex = next(iter(ds))           # {"input_ids": [2048 token], "source": "...", "lang": "..."}

Lisans / kullanım notu

Türev veri; kaynak lisansları geçerli: FineWeb-Edu (ODC-By), FineWeb2-HQ, codeparrot-clean, open-web-math. Yalnız araştırma/eğitim amaçlı. Repo private.

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