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get_datasets

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

get_datasets appears in the code Syntology harvested for 49 papers, as 52 distinct code bodies found in 54 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 1 of the code bodies carries 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 get_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 8 of the 52 distinct code bodies named get_datasets; 44 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
2ran · fixture could not drive it
4ran
44unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 19 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

49 papers shown of 49, 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 4 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
DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton added by Syntology 2026-07 (from id) NourJamoussi/DP-IVON-Gradsq/utils/data.py d5b479ea9239b322 unverified no licence file found · pointer only
Geometry-Anchored Transport Framework for Exemplar-Free Class-Incremental Learning added by Syntology 2026-06 (from id) HXuSz11/GATF_ECCV2026/src/datasets/data_loader.py 70324fba45fbab66 unverified no licence file found · pointer only
Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning added by Syntology 2026-05 (from id) milanganai/milanganai.github.io/NeurIPS2023/code/utils/plot.py e642bb98eca55069 ran no licence file found · pointer only
Charting the Design Space of Neural Graph Representations for Subgraph Matching added by Syntology 2025-10 (from id) structlearning/neural-subm-design-space/subgraph_matching/dataset.py 120db67dbd20f0a2 unverified no licence file found · pointer only
Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models? 10 Mar 2025 yurujaja/SatDiFuser/datasets/utils.py 5b44e5acce4c8e5c unverified Apache-2.0 (permissive)
Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support 25 Feb 2025 jdh-algo/Citrus/model_train/alignment/data.py 6fa7941fd9b5c0a9 unverified MIT (permissive)
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory 16 Dec 2024 andrea-perin/gpsymm/fig1_data.py 4be11eaa4df4a60d unverified no licence file found · pointer only
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory 16 Dec 2024 andrea-perin/gpsymm/groktest.py 36d6f4ac12d38853 unverified no licence file found · pointer only
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective 14 Oct 2024 tengxiao1/GSIL/gsil/alignment/data.py 26a8955ec17591c5 unverified no licence file found · pointer only
UniProcessor: A Text-induced Unified Low-level Image Processor 30 Jul 2024 intmegroup/uniprocessor/ir_data_air/get_datasets.py e4ddcc0ad18e2790 unverified MIT (permissive)
Temporal Event Stereo via Joint Learning with Stereoscopic Flow 15 Jul 2024 mickeykang16/temporaleventstereo/dataloader/dsceDataset.py adff203ed32cd918 unverified no licence file found · pointer only
Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective 10 Jul 2024 fuchs-lab-public/cpath_sabenchmark/code/datasets.py 7369ee82c228b370 ran MIT (permissive)
Panacea: A foundation model for clinical trial search, summarization, design, and recruitment 25 Jun 2024 linjc16/panacea/alignment/data.py e25074d0d5f34d66 unverified no licence file found · pointer only
Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization 26 May 2024 sahsaeedi/triple-preference-optimization/utils/data.py 312e65ff5e48081e unverified MIT (permissive)
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning 5 May 2024 wshi83/MedAdapter/reward_model/orm/orm_guide.py ee2a47559197dba0 unverified no licence file found · pointer only
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape 24 Apr 2024 secml-lab-vt/EvolvingThreat-DeepfakeImageDetect/surrogatemodels/train_clipresnet.py 78ba2682add5c298 unverified no licence file found · pointer only
Revisiting Random Weight Perturbation for Efficiently Improving Generalization 30 Mar 2024 nblt/marwp/utils.py 18eb18597060e5f8 unverified no licence file found · pointer only
Finding Visual Saliency in Continuous Spike Stream 10 Mar 2024 BIT-Vision/SVS/datasets/dataset.py a82c9310f46b74cb unverified no licence file found · pointer only
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records 6 Mar 2024 SH-Src/AutoDP/utils/ehr_dataset.py 0a7facc355b59543 ran no licence file found · pointer only
Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning 29 Feb 2024 which47/llmcl/get_dataset.py d90e6d4a6e725608 unverified no licence file found · pointer only
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning 25 Dec 2023 hkust-nlp/deita/src/deita/alignment/train_scorers.py e0e89efde423abfd ran Apache-2.0 (permissive)
Absolute Policy Optimization 20 Oct 2023 intelligent-control-lab/absolute-policy-optimization/rl_lib/utils/plot.py f788e504c431ef6b unverified MIT (permissive)
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction 1 Aug 2023 woriazzc/robust-pu/utils.py 50359d1b37d86c4a unverified no licence file found · pointer only
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations 4 Jul 2023 anilosmantur/conditioned_video_anomaly_diffusion/train_ano.py 7ab491e780c48512 ran · fixture could not drive it no licence file found · pointer only
A Rainbow in Deep Network Black Boxes 29 May 2023 florentinguth/rainbow/datasets.py e6fb903521a8cee4 unverified BSD-3-Clause (permissive)
Learning to Backdoor Federated Learning 6 Mar 2023 HengerLi/RLBackdoorFL/DataProcess.py 97022c949a88944d unverified MIT (permissive)
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions 28 Jul 2022 cnc-ood/cnc_ood/datasets/cifar10.py fd7eb4a19cf6344a unverified MIT (permissive)
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions 28 Jul 2022 cnc-ood/cnc_ood/datasets/cifar100.py b018c7f90d510364 unverified MIT (permissive)
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions 28 Jul 2022 cnc-ood/cnc_ood/datasets/svhn.py edd840936d027c2e unverified MIT (permissive)
The Intrinsic Manifolds of Radiological Images and their Role in Deep Learning 6 Jul 2022 mazurowski-lab/radiologyintrinsicmanifolds/src/dataset.py 9f4f6cd21bbc7037 unverified Apache-2.0 (permissive)
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration 25 Mar 2022 mdca-loss/mdca-calibration/datasets/imagenet.py f077346ebc45ed1b unverified MIT (permissive)
MotionCLIP: Exposing Human Motion Generation to CLIP Space 15 Mar 2022 guytevet/motionclip/src/datasets/get_dataset.py 4a0130412b541041 unverified MIT (permissive)
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification 29 Nov 2021 DominiqueMercier/PPML-TSA/src/modules/ucr_loader.py 70634cdff58ce5b5 unverified MIT (permissive)
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics 26 Aug 2021 vita-group/tegnas/lib/datasets/get_dataset_with_transform.py e886699e0b7d7466 unverified MIT (permissive)
On the importance of cross-task features for class-incremental learning 22 Jun 2021 AlbinSou/cross_task_cil/src/datasets/data_loader.py 2125ab30557c552f unverified MIT (permissive)
Safe Reinforcement Learning Using Advantage-Based Intervention 16 Jun 2021 nolanwagener/safe_rl/safe_rl/utils/plot.py ed35dafc1e97db0c unverified MIT (permissive)
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation 14 Jun 2021 shawnlimn/scalegrad/custom/gpt2/run_gpt2.py 041742ed31858d0f ran · our draft was wrong MIT (permissive)
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling 1 Jun 2021 JTT94/diffusion_schrodinger_bridge/bridge/runners/ipf.py 047f2e89ba81227d unverified MIT (permissive)
Action-Conditioned 3D Human Motion Synthesis with Transformer VAE 12 Apr 2021 Mathux/ACTOR/src/datasets/get_dataset.py 6d2ad5c70d553a15 unverified MIT (permissive)
Data Augmentation for Meta-Learning 14 Oct 2020 RenkunNi/MetaAug/train_maxup.py 8cdcf45b23a7ccd2 unverified MIT (permissive)
Learning Gradient Fields for Shape Generation 14 Aug 2020 RuojinCai/ShapeGF/datasets/pointflow_datasets.py fcd60648a66ec115 unverified MIT (permissive)
An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks 31 Jul 2020 uchidalab/time_series_augmentation/utils/input_data.py e381033c0b9d40ec unverified Apache-2.0 (permissive)
Self-Imitation Learning via Generalized Lower Bound Q-learning 12 Jun 2020 openai/spinningup/spinup/utils/plot.py e642bb98eca55069 ran MIT (permissive)
Dynamic Convolution: Attention over Convolution Kernels 7 Dec 2019 prstrive/CondConv-tensorflow/dataset.py f9cfc6fd89dbb714 unverified MIT (permissive)
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging 24 Oct 2019 perslev/U-Time/utime/bin/predict.py e8ad77ed6d59f9c2 ran · fixture could not drive it MIT (permissive)
Harnessing Structures for Value-Based Planning and Reinforcement Learning 26 Sep 2019 YyzHarry/SV-RL/sv_rl/plot.py 8f379c7706eb8801 unverified MIT (permissive)
Large Scale Organization and Inference of an Imagery Dataset for Public Safety 16 Aug 2019 LADI-Dataset/ladi-overview/training/config_dataset.py 42c4f691d6a4bb77 unverified MIT (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 stevenygd/PointFlow/datasets.py 5197b33d0222d257 unverified MIT (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 gmum/LoCondA/datasets/pointflow.py bf133ca0a1a7d7e5 unverified MIT (permissive)
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows 28 Jun 2019 rg321/pointFlow_exp/datasets.py 5f63c0ca7dfab72f unverified MIT (permissive)
Approximate Inference Turns Deep Networks into Gaussian Processes 5 Jun 2019 team-approx-bayes/dnn2gp/marglik.py 356d4801d921017f ran · our draft was wrong fingerprinted no licence file found · pointer only
Provably Efficient Maximum Entropy Exploration 6 Dec 2018 abbyvansoest/maxent/plot.py ece9caed5d8cff07 unverified MIT (permissive)
Addressing Function Approximation Error in Actor-Critic Methods 26 Feb 2018 robintyh1/icml2021-pengqlambda/spinup/utils/plot.py e642bb98eca55069 ran MIT recorded; this copy not marked cleared · pointer only
arXiv:2024.findings-acl.708 process-cxr/AGR/retriever_utils.py 1840e16e501abdc9 unverified Apache-2.0 (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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