Home › Code › get_dataset_class

get_dataset_class

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

get_dataset_class appears in the code Syntology harvested for 36 papers, as 13 distinct code bodies found in 36 places (a place is one code body under one paper). At least one of them ran in 0 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 get_dataset_class 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 0 of the 13 distinct code bodies named get_dataset_class; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 36 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

36 papers shown of 36, newest first; 36 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. 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
Hoeffding Concept Bottleneck Models with Applications to Overhead Images added by Syntology 2026-06 (from id) ericenouen/cbdebug/datasets.py 5b0092cb7767b24c unverified MIT (permissive)
A Compression Perspective on Simplicity Bias added by Syntology 2026-03 (from id) 3rdCore/complicity/source/datasets.py 5b0092cb7767b24c unverified MIT (permissive)
Human Motion Synthesis in 3D Scenes via Unified Scene Semantic Occupancy added by Syntology 2025-11 (from id) jingyugong/SSOMotion/data_loaders/get_data.py 1419e69f82267759 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 f8a38c7742f140a1 unverified Apache-2.0 (permissive)
OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation 12 Jun 2024 zybeich/ot-vp/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT (permissive)
Causally Inspired Regularization Enables Domain General Representations 25 Apr 2024 olawalesalaudeen/tcri/DomainBed/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT (permissive)
Cross-lingual Contextualized Phrase Retrieval 25 Mar 2024 ghrua/ccpr_release/code/dataloader.py f256c19f2d48d31b unverified no licence file found · pointer only
ReGenNet: Towards Human Action-Reaction Synthesis 18 Mar 2024 liangxuy/ReGenNet/data_loaders/get_data.py 40a9fc1874d88972 unverified MIT (permissive)
A Causal Inspired Early-Branching Structure for Domain Generalization 13 Mar 2024 liangchen527/causeb/domainbed/datasets.py d0ea85d74c20dea9 unverified no licence file found · pointer only
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations 12 Mar 2024 charlesyou999648/cfr/code/dataset.py 5b0092cb7767b24c unverified MIT (permissive)
Seamless Human Motion Composition with Blended Positional Encodings 23 Feb 2024 BarqueroGerman/FlowMDM/data_loaders/get_data.py 66afe7bc37ea03da unverified licence not identified · pointer only
Understanding Domain Generalization: A Noise Robustness Perspective 26 Jan 2024 qiaoruiyt/NoiseRobustDG/domainbed/datasets.py 2d2f64d7a41ad2de unverified MIT (permissive)
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint 27 Nov 2023 zhenzhiwang/intercontrol/data_loaders/get_data.py 8f06f646695f36e4 unverified MIT (permissive)
Domain Generalization via Rationale Invariance 22 Aug 2023 liangchen527/ridg/domainbed/datasets.py d0ea85d74c20dea9 unverified no licence file found · pointer only
Cross Contrasting Feature Perturbation for Domain Generalization 24 Jul 2023 hackmebroo/ccfp/datasets.py d0ea85d74c20dea9 unverified no licence file found · pointer only
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration 17 Jul 2023 hiroki11x/timm_ood_calibration/domainbed/datasets.py d0ea85d74c20dea9 unverified Apache-2.0 (permissive)
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data 14 Jul 2023 mohamedr002/mapu_sfda_ts/configs/data_model_configs.py 8dadd34c7426858e unverified MIT (permissive)
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation 2 May 2023 xpitfire/iwa/configs/data_model_configs.py 8dadd34c7426858e unverified MIT (permissive)
PGrad: Learning Principal Gradients For Domain Generalization 2 May 2023 qdata/pgrad/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT (permissive)
TFS-ViT: Token-Level Feature Stylization for Domain Generalization 28 Mar 2023 mehrdad-noori/tfs-vit_token-level_feature_stylization/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT (permissive)
Change is Hard: A Closer Look at Subpopulation Shift 23 Feb 2023 yyzharry/subpopbench/subpopbench/dataset/datasets.py 5b0092cb7767b24c unverified MIT (permissive)
Domain Adaptation for Time Series Under Feature and Label Shifts 6 Feb 2023 mims-harvard/Raincoat/configs/data_model_configs.py 8dadd34c7426858e unverified MIT (permissive)
Prompt Vision Transformer for Domain Generalization 18 Aug 2022 zhengzangw/DoPrompt/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT (permissive)
Test-Time Adaptation via Self-Training with Nearest Neighbor Information 8 Jul 2022 mingukjang/tast/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT recorded; this copy not marked cleared · pointer only
Memory Population in Continual Learning via Outlier Elimination 4 Jul 2022 JuliousHurtado/MOE/datasets/get_dataset.py 01d59f4ea54b7d14 unverified MIT (permissive)
Sparse Mixture-of-Experts are Domain Generalizable Learners 8 Jun 2022 luodian/sf-moe-dg/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT recorded; this copy not marked cleared · pointer only
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction 26 May 2022 lins-lab/fedbr/fedbr/datasets.py d0ea85d74c20dea9 unverified Apache-2.0 (permissive)
Diverse Weight Averaging for Out-of-Distribution Generalization 19 May 2022 alexrame/diwa/domainbed/datasets.py d0ea85d74c20dea9 unverified Apache-2.0 (permissive)
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series 18 Mar 2022 jc-audet/WOODS/woods/datasets.py 0262642a53a13ae1 unverified MIT (permissive)
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data 15 Mar 2022 emadeldeen24/adatime/configs/data_model_configs.py 8dadd34c7426858e unverified MIT (permissive)
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains 25 Nov 2021 shogi880/DPLCLIP/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT recorded; this copy not marked cleared · pointer only
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization 11 Jun 2021 identical code first harvested elsewhere d0ea85d74c20dea9 unverified licence of this copy not recorded
SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization 4 Jun 2021 shahtalebi/SAND-mask/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT recorded; this copy not marked cleared · pointer only
Contrasting Contrastive Self-Supervised Representation Learning Pipelines 25 Mar 2021 allenai/ViRB/ViRBRunner.py 0afffc9c2ecdc153 unverified Apache-2.0 (permissive)
In Search of Lost Domain Generalization 2 Jul 2020 facebookresearch/DomainBed/domainbed/datasets.py d0ea85d74c20dea9 unverified MIT (permissive)
Invariant Risk Minimization 5 Jul 2019 katoro8989/irm_variants_calibration/domainbed/datasets.py d0ea85d74c20dea9 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".

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