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get_model_dataset

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

get_model_dataset appears in the code Syntology harvested for 28 papers, as 5 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 2 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_model_dataset 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 2 of the 5 distinct code bodies named get_model_dataset; 3 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
2ran
3unverified
2fingerprinted

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

28 papers shown of 28, 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; 3 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
SPOT-Occ: Sparse Prototype-guided Transformer for Camera-based 3D Occupancy Prediction added by Syntology 2026-02 (from id) chensuzeyu/SpotOcc/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified Apache-2.0 (permissive)
Enhancing Vectorized Map Perception with Historical Rasterized Maps 1 Sep 2024 HXMap/HRMapNet/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified MIT (permissive)
Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving 27 May 2024 Daniel-xsy/RoboBEV/zoo/BEVDet/.dev_scripts/gather_models.py da059252c88ecf40 unverified no licence file found · pointer only
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models 23 May 2024 open-mmlab/mmdetection3d/.dev_scripts/gather_models.py 9cef05bbed8ed168 ran fingerprinted Apache-2.0 (permissive)
Improving Bird's Eye View Semantic Segmentation by Task Decomposition 2 Apr 2024 happytianhao/TaDe/.dev_scripts/gather_models.py 9cef05bbed8ed168 ran fingerprinted Apache-2.0 (permissive)
MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction 1 Apr 2024 xiaolul2/MGMap/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified MIT (permissive)
TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes 28 Mar 2024 jxbbb/tod3cap/tod3cap_camera/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified no licence file found · pointer only
DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences 8 Mar 2024 peidongli/dualbev/.dev_scripts/gather_models.py 9cef05bbed8ed168 ran fingerprinted Apache-2.0 (permissive)
Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction 27 Feb 2024 hxmap/mapqr/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified MIT (permissive)
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection 4 Dec 2023 woxihuanjiangguo/bevnext/.dev_scripts/gather_models.py 9cef05bbed8ed168 ran fingerprinted Apache-2.0 (permissive)
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release 23 Nov 2023 jefffffffu/dpsur/membership_inference/prepare_MIA_dataset.py 488091c5c1be0d83 unverified no licence file found · pointer only
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction 20 Oct 2023 jingy1yu/scalablemap/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified no licence file found · pointer only
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection 2 Jun 2023 JessieW0806/Bi-LRFusion/.dev_scripts/gather_models.py 9cef05bbed8ed168 ran fingerprinted Apache-2.0 (permissive)
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction 11 Apr 2023 zhangyp15/occformer/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified Apache-2.0 (permissive)
Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction 3 Apr 2023 Sense-X/HoP/.dev_scripts/gather_models.py 9cef05bbed8ed168 ran fingerprinted Apache-2.0 (permissive)
TiG-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning 28 Dec 2022 adlab3ds/tig-bev/.dev_scripts/gather_models.py da059252c88ecf40 unverified Apache-2.0 (permissive)
Towards Long-Tailed 3D Detection 16 Nov 2022 neeharperi/LT3D/.dev_scripts/gather_models.py 9cef05bbed8ed168 ran fingerprinted Apache-2.0 (permissive)
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection 5 Oct 2022 divadi/solofusion/.dev_scripts/gather_models.py da059252c88ecf40 unverified Apache-2.0 (permissive)
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework 27 May 2022 ADLab-AutoDrive/BEVFusion/.dev_scripts/gather_models.py 071788036a94f69d unverified Apache-2.0 (permissive)
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers 22 Mar 2022 xuyangbai/transfusion/.dev_scripts/gather_models.py 071788036a94f69d unverified Apache-2.0 (permissive)
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection 17 Mar 2022 Divadi/DetMatch/.dev_scripts/gather_models.py 266b220fd05d5e7f ran fingerprinted Apache-2.0 (permissive)
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation 15 Mar 2022 wangzt-halo/das/.dev_scripts/gather_models.py da059252c88ecf40 unverified Apache-2.0 (permissive)
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations 9 Dec 2021 zhyever/simipu/.dev_scripts/gather_models.py 266b220fd05d5e7f ran fingerprinted Apache-2.0 (permissive)
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection 22 Apr 2021 AllenPeng0209/deeproute_competition/.dev_scripts/gather_models.py da059252c88ecf40 unverified Apache-2.0 (permissive)
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds 13 Apr 2021 cheng052/BRNet/.dev_scripts/gather_models.py 071788036a94f69d unverified Apache-2.0 (permissive)
arXiv:openreview_WR05xy9mFT CQU-AVL/MapUQ/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified MIT (permissive)
arXiv:Lee_SOAP_Vision-Centric_3D_Semantic_Scene_Completion_with_Scene-Adaptive_Decoder_and_CVPR_2025_paper gywns6287/SOAP/mmdetection3d/.dev_scripts/gather_models.py da059252c88ecf40 unverified MIT (permissive)
arXiv:Jiao_MSMDFusion_Fusing_LiDAR_and_Camera_at_Multiple_Scales_With_Multi-Depth_CVPR_2023_paper SxJyJay/MSMDFusion/.dev_scripts/gather_models.py 071788036a94f69d 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