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generate_dataset

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

generate_dataset appears in the code Syntology harvested for 41 papers, as 40 distinct code bodies found in 42 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 generate_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 10 of the 40 distinct code bodies named generate_dataset; 30 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
5ran
30unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 14 of the 42 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

41 papers shown of 41, newest first; 42 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; 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
GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs added by Syntology 2026-09 (from id) xzx34/GTA/src/gtbench/generate.py f9b6c86d13541248 unverified MIT (permissive)
Continuous Latent Contexts Enable Efficient Online Learning in Transformers added by Syntology 2026-05 (from id) emiletimothy/transformer_decisionmaker/llm/core/generate_dataset.py 1c6960c26090959f ran MIT (permissive)
The Order Is The Message added by Syntology 2026-03 (from id) JordanRL/OrderedLearning/analysis_tools/dataset_dft_analysis.py 61179047f886aadd unverified MIT (permissive)
HTM-EAR: Importance-Preserving Tiered Memory with Hybrid Routing under Saturation added by Syntology 2026-03 (from id) shubham-61291/HTM-EAR/htm_ear.py 407816a38ce448ec unverified Apache-2.0 (permissive)
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach 31 Jan 2025 TIML-Group/Conformal-Prediction-Unlearning/utils.py aa200986af8daf4a unverified MIT (permissive)
Loss-to-Loss Prediction: Scaling Laws for All Datasets 19 Nov 2024 KempnerInstitute/loss-to-loss-notebooks/theory/theory_sweep_gpu.py e346f8db1d5b5881 unverified no licence file found · pointer only
Controllable Context Sensitivity and the Knob Behind It 11 Nov 2024 kdu4108/context-vs-prior-finetuning/preprocessing/generate_arithmetic.py 3a27b987330622fd unverified no licence file found · pointer only
Online Relational Inference for Evolving Multi-agent Interacting Systems 3 Nov 2024 beomseokg/ori/data/generate_dataset.py 8da0a8921e5553c8 unverified no licence file found · pointer only
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models 31 Oct 2024 vanderschaarlab/SMART_Testing/experiments/exp3.py 655af21881ab2ee3 unverified no licence file found · pointer only
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version 24 Oct 2024 kvmduc/TEAM-topo-evo-traffic-forecasting/utils/data_convert.py efa9ff96c290a8c5 unverified no licence file found · pointer only
Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$ 17 Oct 2024 mattsheng/pan_sr/feynman_dataset_code/generate_feynman_dataset.py 2d5cb465f05c3580 ran · honoured contract GPL-3.0 (copyleft) · pointer only
Wait, that's not an option: LLMs Robustness with Incorrect Multiple-Choice Options 27 Aug 2024 gracjangoral/when-all-options-are-wrong/math_dataset_generation.py 730f8a40beb44480 ran GPL-3.0 (copyleft) · pointer only
Designing a Dashboard for Transparency and Control of Conversational AI 12 Jun 2024 yc015/talktuner-chatbot-llm-dashboard/dashboard_v1/probing/generate_conversation_dataset.py bc6d4f97d42f9501 ran MIT (permissive)
Transformers Can Do Arithmetic with the Right Embeddings 27 May 2024 mcleish7/arithmetic/create_data_split.py 7cdfbdb5267c36af ran MIT (permissive)
Case-Based or Rule-Based: How Do Transformers Do the Math? 27 Feb 2024 graphpku/case_or_rule/datasets/addition/create.py fd1a2d263d9f32ab ran MIT (permissive)
Causal Representation Learning Made Identifiable by Grouping of Observational Variables 24 Oct 2023 hmorioka/gcarl/subfunc/generate_dataset.py e819903465fc4d8e unverified Apache-2.0 (permissive)
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees 21 Aug 2023 abductivelearning/abl-tl/data.py ca32ae066bae211d unverified no licence file found · pointer only
Expressivity of Graph Neural Networks Through the Lens of Adversarial Robustness 16 Aug 2023 francesco-campi/Rob-Subgraphs/pipelines/dataset_creation.py f36fce9a4c6d8239 ran · our draft was wrong no licence file found · pointer only
Self-Instruct: Aligning Language Models with Self-Generated Instructions 20 Dec 2022 imoneoi/openchat/ochat/experimental/generate_dataset_old.py a035d0e0d1e7dd67 unverified Apache-2.0 (permissive)
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks 11 Aug 2022 zhuangdingyi/stzinb/utils.py 22cc7eeaaba5f8ea unverified MIT (permissive)
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search 14 Jun 2022 amazon-research/esci-code/classification_identification/compute_bert_representations.py 97640bd964b5d177 unverified Apache-2.0 (permissive)
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search 14 Jun 2022 amazon-research/esci-code/classification_identification/query_product/tensor_dataset.py a233b653e882f4f4 unverified Apache-2.0 (permissive)
AbductionRules: Training Transformers to Explain Unexpected Inputs 23 Mar 2022 strong-ai-lab/abductionrules/generate.py dbaad1c64f728c10 unverified MIT (permissive)
Unsupervised Learning of Group Invariant and Equivariant Representations 15 Feb 2022 jrwnter/group-invaraint-ae/giae/sn/data.py d138abad047119a8 unverified BSD-3-Clause (permissive)
Discovering Sparse Interpretable Dynamics from Partial Observations 22 Jul 2021 peterparity/symder/data/lorenz.py 27141289006aae18 unverified MIT (permissive)
Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting 24 Jun 2021 square-coder/STGODE/utils.py 2ac8a47ef9b63afb unverified Apache-2.0 (permissive)
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training 2 Jun 2021 ogunlao/saint/src/dataset.py 7812364a72fefddf unverified MIT (permissive)
Uncertainty in Neural Relational Inference Trajectory Reconstruction 24 Jun 2020 identical code first harvested elsewhere 12d0d79170d76415 unverified licence of this copy not recorded
Failure Modes in Machine Learning Systems 25 Nov 2019 fclesio/ml-adversarial/src/backdoor-modelo/generate-dataset.py 1e915c8a67939f94 unverified CC0-1.0 (permissive)
Factorised Neural Relational Inference for Multi-Interaction Systems 21 May 2019 identical code first harvested elsewhere 12d0d79170d76415 unverified licence of this copy not recorded
q-means: A quantum algorithm for unsupervised machine learning 10 Dec 2018 Morcu/q-means/datasets.py cb8d4ea12aad946d unverified Apache-2.0 (permissive)
Neural Arithmetic Logic Units 1 Aug 2018 grananqvist/NALU-tf/nalu.py f6354fda6a1b24c3 ran · our draft was wrong fingerprinted no licence file found · pointer only
Playing hard exploration games by watching YouTube 29 May 2018 MaxSobolMark/HardRLWithYoutube/train_featurizer.py d3321eaba7ac3a3c unverified MIT (permissive)
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation 10 Apr 2018 meokz/looking-to-listen/dataset/src/2f_2sclean_and_noise.py 4c5b52c420141c8d unverified MIT (permissive)
Neural Relational Inference for Interacting Systems 13 Feb 2018 ethanfetaya/nri/data/generate_dataset.py 12d0d79170d76415 unverified MIT (permissive)
Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations 10 Mar 2017 dtak/rrr/rrr/iris_cancer.py 79b825acdeeb1e5d unverified MIT (permissive)
Machine Learning on Sequential Data Using a Recurrent Weighted Average 3 Mar 2017 theSage21/torchcircus/rwa/addition.py f0d780ae83015e9f ran · our draft was wrong no licence file found · pointer only
Fisher consistency for prior probability shift 19 Jan 2017 albert-ziegler/unsupervised-calibration/quantification/quantification/dataset.py 03ad7a018687662b unverified MIT (permissive)
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data 18 Oct 2016 ashishdandekar/Privacy-at-risk/PATE/student.py 68449dee88891420 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
arXiv:aaai_29726 shesshan/CEIB/utils/data_utils.py 4d543452c7027011 unverified MIT (permissive)
arXiv:Yang_TULIP_Transformer_for_Upsampling_of_LiDAR_Point_Clouds_CVPR_2024_paper ethz-asl/TULIP/tulip/util/datasets.py 97a8d94bd16453a5 unverified MIT (permissive)
arXiv:2023.findings-acl.426 bazingagin/npc_gzip/npc_gzip/utils.py 04234316ce3ae451 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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