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preprocess_data

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

preprocess_data appears in the code Syntology harvested for 44 papers, as 51 distinct code bodies found in 54 places (a place is one code body under one paper). At least one of them ran in 16 of the papers; 3 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_data 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 18 of the 51 distinct code bodies named preprocess_data; 33 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
1ran · violated contract
6ran · our draft was wrong
0ran · fixture could not drive it
11ran
33unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 15 of the 54 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

44 papers shown of 44, newest first; 54 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 3 papers added by Syntology; 1 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
A Regret Minimization Framework on Preference Learning in Large Language Models added by Syntology 2026-06 (from id) YSLIU627/Regularized-Preference-Optimization/OpenRLHF/openrlhf/datasets/unpaired_preference_dataset.py f4db4c93fe22b070 ran Apache-2.0 (permissive)
SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training added by Syntology 2026-02 (from id) RUCAIBox/SWE-Master/OpenRLHF_SFT/scripts_swe_master/sft_data_pre_tokenize.py a48d5458f99a6b87 unverified MIT (permissive)
SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training added by Syntology 2026-02 (from id) RUCAIBox/SWE-Master/OpenRLHF_SFT/scripts_swe_master/sft_data_pre_tokenize_toolcall.py 31b049c55ece2f82 unverified MIT (permissive)
SWE-Master: Unleashing the Potential of Software Engineering Agents via Post-Training added by Syntology 2026-02 (from id) RUCAIBox/SWE-Master/OpenRLHF_SFT/scripts_swe_master/sft_dataset.py 3e9101bb92d47eb7 unverified MIT (permissive)
FARM: Few-shot Adaptive Malware Family Classification under Concept Drift added by Syntology 2026-01 (from id) numanhg/farm/farm/preprocessing.py 264b4f8629fb2589 unverified no licence file found · pointer only
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs 21 Jun 2025 aoshuang92/splora/llama2_alpaca_pd_lora.py 6caafdd232227d6c unverified no licence file found · pointer only
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs 21 Jun 2025 aoshuang92/splora/llama2_diagsum_pd_lora.py c232d8c347b3b6fa unverified no licence file found · pointer only
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements 10 Jun 2025 sakanaai/edinet-bench/src/edinet_bench/logistic.py f738811c8a5b14ff unverified Apache-2.0 (permissive)
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning 5 May 2025 yfzhang114/r1_reward/openrlhf/datasets/reward_dataset.py 186719542da38f30 unverified Apache-2.0 (permissive)
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning 14 Apr 2025 fzp0424/mt-r1-zero/data/process_data.py 7fdb1a0328cc9d4a ran · our draft was wrong Apache-2.0 (permissive)
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning 10 Apr 2025 tiger-ai-lab/vl-rethinker/openrlhf/datasets/prompts_dataset.py 8368fe60f5326faa unverified Apache-2.0 (permissive)
A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules 17 Mar 2025 thu-yao-01-luo/multipowerlaw/src/utils.py 2e1fc14a90913b68 unverified MIT (permissive)
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions 5 Mar 2025 nightingal3/llm-pretraining-behaviours/performance_prediction/performance_predict_from_db.py c2e9a027226aca3d ran · our draft was wrong no licence file found · pointer only
Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs 13 Feb 2025 amazon-science/PrefEval/SFT/train_sft.py fa9be43aab6cf2aa ran · our draft was wrong licence not identified · pointer only
The Price of Prompting: Profiling Energy Use in Large Language Models Inference 4 Jul 2024 ejhusom/melodi/src/train_forecasting_model.py dceaa34a68276fe1 unverified no licence file found · pointer only
AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding 19 Jun 2024 alanaai/evud/gemini/prepare_ego4d_vqa_gemini_dataset.py cd7e60a6f8674afa ran MIT (permissive)
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation 3 Jun 2024 zlin7/contextsl/dataeval/nq_open_new.py 0251f96f3be99807 unverified MIT (permissive)
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation 3 Jun 2024 zlin7/contextsl/dataeval/triviaqa_new.py 874d540a196bc77b unverified MIT (permissive)
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent 2024-06 (from id) jie-jw-wu/human-eval-comm/AgentFramework/designer.py 491a124a37148dfd ran fingerprinted no licence file found · pointer only
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent 2024-06 (from id) jie-jw-wu/human-eval-comm/AgentFramework/executor.py b231819920453b1d ran no licence file found · pointer only
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent 2024-06 (from id) jie-jw-wu/human-eval-comm/AgentFramework/programmer.py 854e64377cfc300a ran fingerprinted no licence file found · pointer only
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models 13 May 2024 HKUST-KnowComp/SANDE/dataset.py 775a2e3aee27b5c8 ran MIT (permissive)
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? 4 May 2024 ssarfraz/QuoVadisTAD/quovadis_tad/dataset_utils/data_utils.py baeee7bf45f131bd ran MIT (permissive)
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment 29 Feb 2024 OpenBMB/CPO/src/CDPO/cdpo/cdpo_ultrafeedback.py fba000175d7bcb8e ran MIT (permissive)
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment 29 Feb 2024 OpenBMB/CPO/src/CDPO/cdpo/cdpo_ultrasafety.py 97785ad2ada07093 ran MIT (permissive)
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents 14 Feb 2024 hbx-hbx/mistral-interact/src/sft.py 3c0273dded3c124d ran · our draft was wrong Apache-2.0 (permissive)
AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation 20 Dec 2023 huangd1999/AgentCoder/src/programmer_humaneval.py e5eeb9ec29247e67 ran · violated contract fingerprinted no licence file found · pointer only
Sampling Methods for Inner Product Sketching 2023-09 (from id) vida-nyu/samplingmethodsforinnerproductsketching/script/experiment_20news.py b82b89ccee261003 unverified no licence file found · pointer only
Improving Unsupervised Visual Program Inference with Code Rewriting Families 26 Sep 2023 BardOfCodes/coref/coref/dataloader/shapes_data.py c2b11afcdad50d08 ran MIT (permissive)
Large Language Models Perform Diagnostic Reasoning 18 Jul 2023 nlplab-best-team/diagnostic-reasoning/eda/utils.py a544b157dd386e5e ran no licence file found · pointer only
I'm Afraid I Can't Do That: Predicting Prompt Refusal in Black-Box Generative Language Models 6 Jun 2023 maxwellreuter/chatgpt-refusals/data_processing.py 33ca67b23dd794c6 unverified MIT (permissive)
Can Large Language Models Capture Dissenting Human Voices? 23 May 2023 xfactlab/emnlp2023-LLM-Disagreement/utils/visualize.py c501787fde562c3c unverified MIT (permissive)
Neural Refinement for Absolute Pose Regression with Feature Synthesis 17 Mar 2023 ActiveVisionLab/NeFeS/script/dm/pose_model.py 1d4f466dd0b12111 unverified MIT (permissive)
GFPose: Learning 3D Human Pose Prior with Gradient Fields 16 Dec 2022 Embracing/GFPose/run/visualize.py 2f4ab069f8c74953 unverified Apache-2.0 (permissive)
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction 4 Nov 2022 ibpa/kglm/src/utils/preprocess_data.py 18b9c7deeedbe427 unverified Apache-2.0 (permissive)
Latent Neural ODEs with Sparse Bayesian Multiple Shooting 7 Oct 2022 yakovlev31/msvi/msvi/utils/bballs.py fdd634b9d9124a80 unverified MIT (permissive)
Transformers with Learnable Activation Functions 30 Aug 2022 ukplab/2022-raft/run_mlm.py 1283d0e322799e75 unverified Apache-2.0 (permissive)
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching 1 Apr 2022 activevisionlab/dfnet/script/dm/pose_model.py 1d4f466dd0b12111 unverified MIT (permissive)
Machine learning discovery of new phases in programmable quantum simulator snapshots 20 Dec 2021 KimGroup/QGasML/lassopath.py 4199f8e7c0c6ab7e unverified MIT (permissive)
Machine learning discovery of new phases in programmable quantum simulator snapshots 20 Dec 2021 KimGroup/QGasML/lassopath_ovr.py 727f94645379b981 unverified MIT (permissive)
Direct-PoseNet: Absolute Pose Regression with Photometric Consistency 8 Apr 2021 ActiveVisionLab/direct-posenet/script/pose_model.py 1d4f466dd0b12111 unverified MIT (permissive)
Neurosymbolic Transformers for Multi-Agent Communication 5 Jan 2021 jinala/multi-agent-neurosym-transformers/main/train_dt.py 4a8ac0850c83446e ran · our draft was wrong no licence file found · pointer only
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion 3 Nov 2020 dongfang-steven-yang/faraway-frustum/step2_get_kitti_results.py 81fda250de9b50a3 ran · our draft was wrong no licence file found · pointer only
Graph Neural Networks in TensorFlow and Keras with Spektral 22 Jun 2020 danielegrattarola/spektral/spektral/datasets/graphsage.py 5dd02dc57931ba2f unverified MIT (permissive)
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer 23 Oct 2019 shivamraval98/multitask-t5_ae/src/models/T5Model/t5_utils.py 2366fa00a16ea6b4 unverified MIT (permissive)
PointNetLK: Robust & Efficient Point Cloud Registration using PointNet 13 Mar 2019 vinits5/PointNetLK/utils/data_utils.py b7f8841b68729bda unverified MIT recorded; this copy not marked cleared · pointer only
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations 3 Mar 2019 asgsaeid/KernelizedManifoldMapping/data.py 39dc1f035e3f9c9d unverified MIT (permissive)
Surrogate Gradient Learning in Spiking Neural Networks 28 Jan 2019 honzikv/use-of-snn/experiments/bnci_horizon_experiment/data_preprocessing.py 380b232e5ab07df5 unverified MIT (permissive)
PadChest: A large chest x-ray image dataset with multi-label annotated reports 22 Jan 2019 rajpurkarlab/chexzero/preprocess_padchest.py 7c2197559c73f7c3 unverified MIT (permissive)
A generic framework for privacy preserving deep learning 9 Nov 2018 SanaAwan5/transfer_learning_on_mnist_spdz/dataset.py ad5eca2af374293a unverified Apache-2.0 (permissive)
A generic framework for privacy preserving deep learning 9 Nov 2018 SanaAwan5/transfer_learning_on_mnist_spdz/dataset_emnist.py cf1ca8eb225f00e9 unverified Apache-2.0 (permissive)
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data 27 Jun 2018 wooden-spoon/relational-ERM/src/relational_erm/data_processing/pokec.py f4e29a9d525179a1 unverified MIT (permissive)
Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data 27 Jun 2018 wooden-spoon/relational-ERM/src/relational_erm/data_processing/wikipedia_hyperlink.py c26027e156fcba64 unverified MIT (permissive)
arXiv:2024.findings-emnlp.649 alanaai/EVUD/gemini/prepare_ego4d_vqa_gemini_dataset.py cd7e60a6f8674afa ran 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".

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