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data_loader

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

data_loader appears in the code Syntology harvested for 25 papers, as 28 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 8 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 data_loader 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 8 of the 28 distinct code bodies named data_loader; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
6ran
20unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 28 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

25 papers shown of 25, newest first; 28 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; 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
LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching added by Syntology 2025-10 (from id) caicairay/LeapFactual/training_scripts/experiments/utils.py 73a5cdcd89c29ee4 unverified Apache-2.0 (permissive)
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models 17 Apr 2024 Yue-LLM-Pit/SCoP/utils.py e619b59640b78cb3 ran MIT (permissive)
COMQ: A Backpropagation-Free Algorithm for Post-Training Quantization 11 Mar 2024 aozhongzhang/comq/datautils.py c330d1f7ea1cc699 ran no licence file found · pointer only
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models 28 Feb 2024 mignonjia/ts_watermark/utils/data_loader.py ee0a7309525621bf ran no licence file found · pointer only
Why Transformers Need Adam: A Hessian Perspective 26 Feb 2024 zyushun/hessian-spectrum/vision_models/data_loader.py fafefcd33288b3e3 ran no licence file found · pointer only
Discounted Adaptive Online Learning: Towards Better Regularization 5 Feb 2024 ComputationalRobotics/discounted-adaptive/cv_utils.py d8d95fb1a50469c8 ran no licence file found · pointer only
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics 31 Oct 2023 kernel-calibration/kernel-calibration/torchuq/dataset/imagenet.py d8e925ee6db84c87 ran MIT (permissive)
XTab: Cross-table Pretraining for Tabular Transformers 10 May 2023 bingzhaozhu/xtab/runexample.py d293a4b897997532 ran · honoured contract no licence file found · pointer only
Understanding AdamW through Proximal Methods and Scale-Freeness 31 Jan 2022 zhenxun-zhuang/adamw-scale-free/src/data_loader.py 1509587e8398121b unverified Apache-2.0 (permissive)
Partial success in closing the gap between human and machine vision 14 Jun 2021 kantharajucn/CLIP-imagenet-evaluation/data_loader.py 68a72b229739b428 unverified BSD-3-Clause (permissive)
Learning to drive from a world on rails 3 May 2021 dotchen/WorldOnRails/lbc/dataset.py c00521713304b207 unverified MIT (permissive)
Contrastive Learning Improves Model Robustness Under Label Noise 19 Apr 2021 arghosh/noisy_label_pretrain/imagenet32.py 961e370efdf679f8 unverified MIT (permissive)
SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor! 9 Aug 2020 terenceylchow124/Meme-MultiModal/utils/util_loader.py 0c88c542763a7b8a unverified MIT (permissive)
Confident Learning: Estimating Uncertainty in Dataset Labels 31 Oct 2019 cleanlab/examples/fasttext_amazon_reviews/fasttext_wrapper.py f452766c96419106 unverified Apache-2.0 (permissive)
MARTHE: Scheduling the Learning Rate Via Online Hypergradients 18 Oct 2019 awslabs/adatune/adatune/data_loader.py 784ddae11e176a3a unverified Apache-2.0 (permissive)
Spectral Clustering with Graph Neural Networks for Graph Pooling 30 Jun 2019 hustwutao/Deep-Clustering/DEC/utils.py b799b125efb60c2a unverified Apache-2.0 (permissive)
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space 26 Feb 2019 davendw49/gakg/code/baselines/transH/TransH.py f103f76a05c11c85 unverified Apache-2.0 (permissive)
Stochastic Gradient Push for Distributed Deep Learning 27 Nov 2018 adelnabli/acid/utils/data_utils.py 553014d88e2fdc2b unverified MIT (permissive)
Self-produced Guidance for Weakly-supervised Object Localization 24 Jul 2018 xiaomengyc/SPG/utils/LoadData.py 52848ec151fe179a unverified MIT (permissive)
Learning to Evaluate Image Captioning 17 Jun 2018 richardaecn/cvpr18-caption-eval/score.py 125c42eb3ba458ac unverified MIT (permissive)
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model 10 Nov 2017 omerlux/NLP-PTB/Language_Modeling_DataRearange/Language_Modeling.py c75648e7493bfa87 unverified MIT (permissive)
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model 10 Nov 2017 omerlux/NLP-PTB/Language_Modeling_Old/Language_Modeling.py b47a3b26a9d39f5f unverified MIT (permissive)
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model 10 Nov 2017 omerlux/NLP-PTB/Language_Modeling_Old/Language_Modeling_tfds.py dd918220a90f8779 unverified MIT (permissive)
Progressive Growing of GANs for Improved Quality, Stability, and Variation 27 Oct 2017 Aruie/Aru_StyleGAN/data_loader.py a64567ed28beff99 ran · our draft was wrong no licence file found · pointer only
Image-to-Image Translation with Conditional Adversarial Networks 21 Nov 2016 brade31919/SRGAN-tensorflow/lib/model.py 60001f4ecac0d635 unverified MIT (permissive)
arXiv:2025.acl-long.179 RUC-NLPIR/RAG-Critic/rag_error_bench/predict_dev.py ee98fa23ded71ec2 unverified MIT (permissive)
arXiv:2025.acl-long.179 RUC-NLPIR/RAG-Critic/error_system_construction/error_type_tagger.py d7c949a208914b94 unverified MIT (permissive)
arXiv:2021.findings-acl.208 chuchun8/PStance/source/utils/data_helper.py 347aea8f703cd9c4 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