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danbraunai
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pile-uncopyrighted-tok

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parquet

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train · 491M rows

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input_ids listlengths 513 513
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Pile Uncopyrighted (Tokenized)

This is danbraunai/pile-uncopyrighted tokenized with EleutherAI/gpt-neox-20b.

Each row contains a single input_ids column with 513 token IDs. Samples are concatenated with EOS tokens between them (following the approach in TransformerLens), then reshaped into fixed-length sequences.

Creation script

from datasets import DatasetDict, load_dataset
from transformers import AutoTokenizer

from spd.data import tokenize_and_concatenate

SOURCE_REPO = "danbraunai/pile-uncopyrighted"
TOKENIZER_NAME = "EleutherAI/gpt-neox-20b"
N_CTX = 513

tokenizer = AutoTokenizer.from_pretrained(TOKENIZER_NAME)

result = DatasetDict()
for split in ["train", "val", "test"]:
    ds = load_dataset(SOURCE_REPO, split=split)
    tokenized = tokenize_and_concatenate(
        ds,
        tokenizer,
        column_name="text",
        max_length=N_CTX,
        add_bos_token=False,
        num_proc=10,
        to_lower=False,
    )
    tokenized = tokenized.with_format(None)
    result[split] = tokenized

result.push_to_hub("danbraunai/pile-uncopyrighted-tok")

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