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prepare_datasets

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

prepare_datasets appears in the code Syntology harvested for 13 papers, as 12 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 5 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 prepare_datasets 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 3 of the 12 distinct code bodies named prepare_datasets; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
1ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 14 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

13 papers shown of 13, newest first; 14 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 1 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
Neural Grammatical Error Correction for Romanian added by Syntology 26 Apr 2026 TeodorMihai/RoGEC/transformer/dataset.py 695abdff0f8b6e82 ran Apache-2.0 (permissive)
The Ripple Effect: On Unforeseen Complications of Backdoor Attacks 16 May 2025 zhangrui4041/backdoor_complications/utils/preprocess.py 2246abeb87811106 unverified MIT (permissive)
Multi-Token Prediction Needs Registers 15 May 2025 nasosger/mutor/language_modeling/src/dataloaders_mutor.py 9294b12a2eccb090 unverified MIT (permissive)
Training Robust Graph Neural Networks by Modeling Noise Dependencies 27 Feb 2025 WtaoZhao/GraphGLOW/src/core/model_handler.py b450d45f806dd32a unverified no licence file found · pointer only
Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation 5 Feb 2025 Jingyu6/speculative_prefill/eval/qps_client.py ec827626111b4b80 unverified MIT (permissive)
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients 17 Jul 2023 adaptive-agents-lab/mdot-pncg/mnist_experiments.py 1564dfe3c1ffac88 unverified no licence file found · pointer only
Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks 30 Jun 2023 identical code first harvested elsewhere 5b5f6a3969b72cda ran · our draft was wrong licence of this copy not recorded
The Internal State of an LLM Knows When It's Lying 26 Apr 2023 balevinstein/probes/TrainProbes.py 5b5f6a3969b72cda ran · our draft was wrong MIT (permissive)
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection 27 Sep 2022 THUYimingLi/Untargeted_Backdoor_Watermark/UBW-C/eval_loss.py 46fc2d22eb1e47be unverified Apache-2.0 (permissive)
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection 27 Sep 2022 THUYimingLi/Untargeted_Backdoor_Watermark/UBW-C/eval_ASR.py 5ba9825ab6ff7eca unverified Apache-2.0 (permissive)
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings 21 Jun 2020 hugochan/IDGL/src/core/utils/data_utils.py 7533b3dc9f5bbfd6 unverified Apache-2.0 (permissive)
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation 14 Aug 2019 hugochan/RL-based-Graph2Seq-for-NQG/src/core/utils/data_utils.py 2988ee69e45e3e36 unverified Apache-2.0 (permissive)
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network 24 Jun 2018 zlin7/CGNet/Shrec17/Shrec17_main_fast.py 033566c62f5f23ae ran · our draft was wrong no licence file found · pointer only
arXiv:2024.findings-naacl.294 balevinstein/Probes/TrainProbes.py 5b5f6a3969b72cda ran · our draft was wrong 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