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Dataset · Hugging Face

m-rui/babeltele-squad-encodings

BabelTele encodings of human-written reference prose Dense machine-readable encodings of English Wikipedia paragraphs, built to test the claim of "Large Language Models Do Not Always Need Readable Language" (arXiv:2606.19857v1, Appendix B.5) on data whose fidelity can be checked against human annotations instead of against another model's opinion. The paper reports 99.5% semantic fidelity at 27.9% of original volume. This repository ships the encodings, the human questions used… See the full description on the dataset page: https://huggingface.co/datasets/m-rui/babeltele-squad-encodings.

Author / organizationm-rui
License (as declared)cc-by-sa-4.0
Downloads424 (as reported by Hugging Face)
Likes0
Created7 October 2026
Last updated at source7 October 2026
text-compressionpost-trainingbabeltele
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