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preprocess_dataset

Syntologyentry name in harvested coderead from the graph 2026-09-24

preprocess_dataset appears in the code Syntology harvested for 18 papers, as 17 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named preprocess_dataset do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 7 of the 17 distinct code bodies named preprocess_dataset; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
6ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 18 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

18 papers shown of 18, newest first; 18 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 2 papers added by Syntology; 2 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
ForeSight: Enhancing Risk Monitoring via Early Safety Signal Distillation added by Syntology 2026-09 (from id) Scabbards1500/Foresight/train/preprocess.py 02a30e29a00dfe0e unverified Apache-2.0 (permissive)
Diffusion-State Policy Optimization for Masked Diffusion Language Models added by Syntology 2026-02 (from id) dllm-reasoning/d1/SFT/sft_trainer.py a3e7b9a227925647 unverified Apache-2.0 (permissive)
A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning 11 Jul 2025 analokmaus/kaggle-aimo2-fast-math-r1/experiments/train_token_scheduler.py 37c8141d07e7590d unverified no licence file found · pointer only
arXiv:2507.01299 2025-07 (from id) alibaba/EfficientAI/masquant/custom_dataset.py e0b50702ed514d61 unverified Apache-2.0 (permissive)
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers 18 Mar 2025 nikhilsab/llmfe/preprocessing.py 13487f38a3a33dfd unverified MIT (permissive)
SMART: Self-Aware Agent for Tool Overuse Mitigation 17 Feb 2025 qiancheng0/open-smartagent/inference/inference_smart.py ad047902cc0458e3 ran · our draft was wrong no licence file found · pointer only
Rationale-Guided Retrieval Augmented Generation for Medical Question Answering 1 Nov 2024 dmis-lab/rag2/classifier/utils.py 662378e999a32811 unverified no licence file found · pointer only
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models 4 Oct 2024 yascho/probabilistic-unlearning/finetuning/preprocessing.py d701c28cf7e2b3bf ran MIT (permissive)
LLMs can Schedule 13 Aug 2024 starjob42/datasetjsp/utils/data_preprocessing.py cb71b262f560b386 ran no licence file found · pointer only
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation 5 Aug 2024 agentic-learning-ai-lab/procreate-diffusion-public/src/utils.py 0d87b52314272f36 ran MIT (permissive)
Generative Conditional Distributions by Neural (Entropic) Optimal Transport 4 Jun 2024 nguyenngocbaocmt02/gentle/utils.py e83b17c5d6107e8c ran no licence file found · pointer only
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales 31 May 2024 xu1868/SaySelf/evaluation/generate_reasons_for_evaluation.py a942e23bce929ae1 ran MIT (permissive)
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation 2024-05 (from id) spalabucr/synth-audit/attacks/querybased.py 0746485cba167aed ran no licence file found · pointer only
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity 21 Mar 2024 starsuzi/Adaptive-RAG/classifier/utils.py 662378e999a32811 unverified Apache-2.0 (permissive)
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness 27 May 2022 google-research/long-range-arena/lra_benchmarks/listops/input_pipeline.py 59e4e06672a6c268 unverified Apache-2.0 (permissive)
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization 27 Apr 2022 explainableml/acvc/preprocessing/Datasets.py 23d5781026b28cf9 unverified MIT (permissive)
Neural Predicting Higher-order Patterns in Temporal Networks 10 Jun 2021 Graph-COM/Neural_Higher-order_Pattern-Motif_Prediction_in_Temporal_Networks/find_pattern.py 9aad56561e90757d unverified MIT (permissive)
arXiv:2024.findings-acl.712 bjoernengelmann/BATS/workspace/run_apply_lf.py b0014e63da4f605b unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections