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KristianS7/prepacked-fineweb-edu-llama2-32K-T2048

prepacked-fineweb-edu-llama2-32K-T2048 Pre-tokenized and BOS-aligned best-fit packed version of FineWeb-Edu for training with looped nanochat. Tokenized with the Llama 2 tokenizer (32,000 base vocab + 8 special tokens = 32,008). Stats Train split Source karpathy/fineweb-edu-100b-shuffle (1,821 shards) Total tokens 63.26B Total docs 97.1M Rows 30,873,598 Shards 2,059 (train-00000 to train-02058) Rows per shard ~15,000… See the full description on the dataset page: https://huggingface.co/datasets/KristianS7/prepacked-fineweb-edu-llama2-32K-T2048.

sourceHugging Faceodc-byupdated 6mo agoView on Hugging Face
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Dataset Card

prepacked-fineweb-edu-llama2-32K-T2048

Pre-tokenized and BOS-aligned best-fit packed version of FineWeb-Edu for training with looped nanochat.

Tokenized with the Llama 2 tokenizer (32,000 base vocab + 8 special tokens = 32,008).

Stats

Train split

Sourcekarpathy/fineweb-edu-100b-shuffle (1,821 shards)
Total tokens63.26B
Total docs97.1M
Rows30,873,598
Shards2,059 (train-00000 to train-02058)
Rows per shard~15,000

Val split

Source2 shards (shard01821–shard01822)
Total tokens70.9M
Total docs106,496
Rows34,608
Shards3 (val-00000 to val-00002)

Common

Row length2,049 (T+1, seq_len=2048)
FormatParquet, uint16 token column
TokenizerLlama 2 32K (NousResearch/Llama-2-7b-hf)
BOS token<s> (id=1)
PackingBest-fit, BOS-aligned, buffer_size=1000

Each row is a packed sequence of multiple BOS-delimited documents, cropped/filled to exactly 2,049 tokens. Rows are shuffled within each shard.