Dataset · Hugging Face

qwalora/parallax-inference-calibration

Name: parallax-inference-calibration
Creator: qwalora
License: other
Keywords: language:en, license:other, size_categories:n<1K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, synthetic, simulation, statistics, monte-carlo

PARALLAX: Reproducibility and Statistical Calibration of Clustered Prompt-Injection Evaluations Qwalora Research & Development, Qwalora LLC | Version 1.0.0 | 20 October 2026 This dataset contains only synthetic Monte Carlo simulation outputs. It contains no language-model prompts, responses, scores or measurements of any kind. It is not peer reviewed and has not been independently replicated. Summary PARALLAX is a pre-specified design for measuring whether… See the full description on the dataset page: https://huggingface.co/datasets/qwalora/parallax-inference-calibration.

View on Hugging FaceReport an issue

Author / organization	qwalora
License (as declared)	other
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	21 October 2026
Last updated at source	21 October 2026

syntheticsimulationstatisticsmonte-carlocalibrationprompt-injectionai-securityreproducibilitynegative-result

Embed this entry

<iframe src="https://silytics.si/embed/item/7b6e2755-e94f-43eb-822a-28eb17e834a9" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from qwalora

qwalora/parallax-benchDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 21 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.