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create_dataset

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

create_dataset appears in the code Syntology harvested for 47 papers, as 50 distinct code bodies found in 53 places (a place is one code body under one paper). At least one of them ran in 17 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 create_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 15 of the 50 distinct code bodies named create_dataset; 35 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
6ran · our draft was wrong
0ran · fixture could not drive it
9ran
35unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 16 of the 53 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

47 papers shown of 47, newest first; 53 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; 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
Different Changes Require Different Reasoning: Change-Type-Specialized Experts for Robust Change Captioning added by Syntology 2026-09 (from id) VisualAIKHU/MEDIC/datasets/datasets.py 9051b84471694002 unverified no licence file found · pointer only
Limit Analysis of Graph Neural Networks with Wireless Conflict Graphs added by Syntology 2026-06 (from id) romm32/rgg_transferability/data_generation.py 3cc1e85c9a6d6ff1 unverified no licence file found · pointer only
In-Context Symbolic Regression for Robustness-Improved Kolmogorov-Arnold Networks added by Syntology 2026-03 (from id) Francesco-Sovrano/In-Context-Symbolic-Regression-KAN/symbolic_kan/utils.py d522c15fd033946f unverified no licence file found · pointer only
Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge 17 Jun 2025 spoc-group/dataset-distillation-memorization/logistic_regression_experiment.py b9705e7bf48bff2a ran · our draft was wrong no licence file found · pointer only
Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge 17 Jun 2025 spoc-group/dataset-distillation-memorization/experiment.py 40886d3e1bb44e21 ran · our draft was wrong no licence file found · pointer only
Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs 16 Jun 2025 OPTML-Group/Unlearn-Trace/generate_response.py 726c7400ec239162 unverified MIT (permissive)
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models 2 Jan 2025 Qi-Zhangyang/GPT4Scene/evaluate/val_dataset.py d1cc4570ba8bbd09 unverified Apache-2.0 (permissive)
Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods 18 Nov 2024 jaidoshi/knowledge-erasure/evaluation/perplexity/evaluate.py ff0eb7e55a42cdd7 unverified no licence file found · pointer only
Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods 18 Nov 2024 jaidoshi/knowledge-erasure/evaluation/retraining/retrain_utils.py 1454f4d95769c583 unverified no licence file found · pointer only
Controllable Context Sensitivity and the Knob Behind It 11 Nov 2024 kdu4108/context-vs-prior-finetuning/analysis/circuit_utils/das.py e736246f0de4c29b unverified no licence file found · pointer only
Collapsed Language Models Promote Fairness 6 Oct 2024 Xujxyang/Fairness-NC-main/adept/debias.py 5f516b6aaad9acb6 ran · our draft was wrong no licence file found · pointer only
Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles 16 Sep 2024 kulinshah98/llm-reasoning-logic-puzzles/zebra-code/train/data.py 5bf07d2ee6a39c55 ran Apache-2.0 (permissive)
Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles 16 Sep 2024 kulinshah98/llm-reasoning-logic-puzzles/sudoku-code/train/data.py e87fe7038ae1f4de unverified Apache-2.0 (permissive)
A Psychology-based Unified Dynamic Framework for Curriculum Learning 9 Aug 2024 nd-ball/cl-irt/PUDF_GLUE/PUDF_glue_DebertaV3.py e6dd3a3e407b16d8 ran · our draft was wrong MIT (permissive)
KAN or MLP: A Fairer Comparison 23 Jul 2024 yu-rp/kanbefair/src/models/kan/utils.py 576e18268f9a6f43 ran no licence file found · pointer only
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients 26 Mar 2024 zzhustc2016/raremed/src/Baselines/main_LR.py 2924bead46e7078e ran MIT (permissive)
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation 22 Mar 2024 zhu-xlab/dofa/downstream_tasks/geobench_segmentation/main_finetune.py 33a50be22c1f0de8 unverified MIT (permissive)
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation 22 Mar 2024 zhu-xlab/dofa/downstream_tasks/geobench_classification/main_linear_probe.py d1713f477bc64e3e unverified MIT (permissive)
LookupFFN: Making Transformers Compute-lite for CPU inference 12 Mar 2024 mlpen/lookupffn/src/datasets_scripts/downstream/quality.py 661289c0e647ffa7 ran Apache-2.0 (permissive)
Contrastive Instruction Tuning 17 Feb 2024 luka-group/CoIN/promptbench/dataload.py beb8b40b0c4a53c8 unverified Apache-2.0 (permissive)
CroissantLLM: A Truly Bilingual French-English Language Model 1 Feb 2024 manuelfay/llm-data-hub/dataset_collection/multilingual/unbabel-fr-en/load_data.py fc81fa82cff76df8 unverified no licence file found · pointer only
Simple Hardware-Efficient PCFGs with Independent Left and Right Productions 23 Oct 2023 sustcsonglin/TN-PCFG/preprocessing.py 24489c4531c30c36 ran no licence file found · pointer only
Advancing Test-Time Adaptation in Wild Acoustic Test Settings 14 Oct 2023 Waffle-Liu/CEA/data.py 6e52321ce4391a33 ran MIT (permissive)
Learnable wavelet neural networks for cosmological inference 24 Jul 2023 Chris-Pedersen/LearnableWavelets/learnable_wavelets/datasets/camels_dataset.py 1ebaa63977dc2fe3 ran no licence file found · pointer only
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis 26 Jul 2023 google-deepmind/exedec/spec_decomposition/llm_utils.py 4b1a9cf5feab44ca ran Apache-2.0 (permissive)
Contextual Reliability: When Different Features Matter in Different Contexts 19 Jul 2023 stepankonev/waymo-motion-prediction-challenge-2022-multipath-plus-plus/code/prerender/utils/prerender_utils.py 5ccd503e365049e8 ran licence not identified · pointer only
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization 3 Jun 2023 drumpt/sgem/data.py b47f7a1713d60592 unverified MIT (permissive)
CodeT5+: Open Code Large Language Models for Code Understanding and Generation 13 May 2023 salesforce/codet5/CodeT5+/code_retrieval/data_utils.py 29a2c6f9ec2127fe unverified BSD-3-Clause (permissive)
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech 30 Dec 2022 majidAdibian77/ResGrad/resgrad/data.py 81fb0c29833351df unverified MIT (permissive)
ADEPT: A DEbiasing PrompT Framework 10 Nov 2022 EmpathYang/ADEPT/debias.py 5f516b6aaad9acb6 ran · our draft was wrong MIT (permissive)
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold 19 Sep 2022 cjyaras/normalized-neural-collapse/datasets.py f88cd35cd453165b unverified MIT (permissive)
Autoencoder Attractors for Uncertainty Estimation 1 Apr 2022 stevecruz/icpr2022-autoencoder-attractors/dataset.py 6b62ba3b15af2296 unverified MIT (permissive)
Towards Total Recall in Industrial Anomaly Detection 15 Jun 2021 rvorias/ind_knn_ad/indad/workspace.py 774c2acb59a77761 unverified MIT (permissive)
Dual Contrastive Learning for Unsupervised Image-to-Image Translation 15 Apr 2021 Deopoler/DCLGAN-Keras/utils.py 4f77a9e3e132775c unverified MIT (permissive)
WaveGuard: Understanding and Mitigating Audio Adversarial Examples 4 Mar 2021 shehzeen/waveguard_defense/evaluate_detector.py f5095f4b58593a81 ran · our draft was wrong no licence file found · pointer only
Debiasing Pre-trained Contextualised Embeddings 23 Jan 2021 kanekomasahiro/context-debias/src/run_debias_mlm.py 5f516b6aaad9acb6 ran · our draft was wrong MIT (permissive)
Deep Drone Acrobatics 2020-06 (from id) uzh-rpg/deep_drone_acrobatics/controller_learning/src/ControllerLearning/models/body_dataset.py 7911aa6ef83e3552 unverified MIT (permissive)
3D Human Mesh Regression with Dense Correspondence 10 Jun 2020 zengwang430521/DecoMR/datasets/datasets.py 21461084b6c6fa1b unverified Apache-2.0 (permissive)
Vector-Quantized Autoregressive Predictive Coding 17 May 2020 Alexander-H-Liu/NPC/src/data.py fd9e78e76cb79d91 unverified MIT (permissive)
AR-Net: A simple Auto-Regressive Neural Network for time-series 27 Nov 2019 ourownstory/AR-Net/v0_1/data_loader.py 89aadc6713c1f998 unverified MIT (permissive)
TAPER: Time-Aware Patient EHR Representation 11 Aug 2019 sajaddarabi/TAPER/process_text.py 210d3f7cced84b5c unverified MIT (permissive)
Convolutional Mesh Regression for Single-Image Human Shape Reconstruction 8 May 2019 nkolot/GraphCMR/datasets/datasets.py 1f48c41b52133a85 unverified BSD-3-Clause (permissive)
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination 6 Sep 2018 sjy1203/GAMENet/code/baseline/train_LR.py 2924bead46e7078e ran MIT (permissive)
Cramer-Wold AutoEncoder 23 May 2018 gmum/cwae/src/dataset_loaders.py ee62944c86820e19 unverified MIT (permissive)
Neural Combinatorial Optimization with Reinforcement Learning 29 Nov 2016 pemami4911/neural-combinatorial-rl-pytorch/sorting_task.py 06248b1d4ce6e73f unverified MIT (permissive)
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning 21 Sep 2016 Alexander-H-Liu/End-to-end-ASR-Pytorch/src/data.py e2ec1a4e3221772d unverified MIT (permissive)
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning 21 Sep 2016 neil-zeng/asr/src/data.py 3929b38d6fca37e2 unverified MIT (permissive)
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning 21 Sep 2016 s3prl/End-to-end-ASR-Pytorch/src/data.py ac71d8ab36c2fae0 unverified MIT (permissive)
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient 18 Sep 2016 project-basileus/multitype-sequence-generation-by-tlstm-gan/sgtlstm/utils.py 8df2bb8e4b4e31f3 unverified MIT (permissive)
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding 9 Nov 2015 hosshonarvar/Image-Segmentation/my_code/Src/input.py 28e9700e3cfdeda0 unverified MIT (permissive)
Neural Machine Translation by Jointly Learning to Align and Translate 1 Sep 2014 Baichenjia/NMT-eager/NMT-eager.py 6294101bad54572d ran · our draft was wrong no licence file found · pointer only
Efficient Estimation of Word Representations in Vector Space 16 Jan 2013 ringbdstack/socialed/SocialED/detector/finevent.py b2af81ffeb8edfe7 unverified BSD-2-Clause (permissive)
arXiv:aaai_26111 azencot-group/KANN/kann/ecg_task/ecg_task_utils.py 413b7c14706b9eb3 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".

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