Datasets:

yresearch
/

owt-gpt2

input_ids listlengths 1.02k 1.02k
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ELF OpenWebText — GPT-2 tokens

Tokenized OpenWebText used by the ELF GPT-OWT experiments: 8,730,966 training sequences and 110,453 validation sequences. The single input_ids column contains lists of int32 GPT-2 token IDs. These Parquet files preserve the existing processed dataset's values, schema, and row order; no retokenization was performed.

from datasets import load_dataset

train = load_dataset("yresearch/owt-gpt2", split="train")
validation = load_dataset("yresearch/owt-gpt2", split="validation")

Source: Skylion007/openwebtext, credited upstream to Gokaslan, Cohen, Pavlick, and Tellex (2019). The upstream CC0 declaration covers dataset packaging; the upstream authors do not claim ownership of the extracted web text. See the upstream card for its copyright notice and takedown policy.

data_manifest.json records the split sizes, feature types, and shard SHA-256 hashes.

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