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Dataset · Hugging Face

arkanathp/1M-stratified-pile-uncopyrighted

1M stratified Pile-uncopyrighted Training corpus of the paper Repurposing Pre-trained LLMs as High Fidelity Continuous Text Autoencoders (paper, code): 999,990 documents drawn from Pile-uncopyrighted, general web and technical text. One JSONL file with a text field (999,990 documents). Documents were collected stratified by length into 41 buckets of 100 characters so that the training set is balanced from short through full-length inputs. The LLMAE recipes (configs/*.py in the… See the full description on the dataset page: https://huggingface.co/datasets/arkanathp/1M-stratified-pile-uncopyrigh

Author / organizationarkanathp
License (as declared)other
Downloads137 (as reported by Hugging Face)
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Created7 February 2026
Last updated at source12 October 2026
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