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read_dataset

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

read_dataset appears in the code Syntology harvested for 32 papers, as 37 distinct code bodies found in 37 places (a place is one code body under one paper). At least one of them ran in 11 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 read_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 13 of the 37 distinct code bodies named read_dataset; 24 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
0ran · fixture could not drive it
11ran
24unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 37 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

32 papers shown of 32, newest first; 37 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 2 papers added by Syntology; 4 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
MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion added by Syntology 2026-07 (from id) YilaiLiu-HKU/MIDiff/reshape.py 3440370fb4371b96 ran Apache-2.0 (permissive)
MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion added by Syntology 2026-07 (from id) YilaiLiu-HKU/MIDiff/exp/analyze_max_distribution.py 6373168fbb9fc6d8 ran Apache-2.0 (permissive)
MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion added by Syntology 2026-07 (from id) YilaiLiu-HKU/MIDiff/exp/evaluate_generation_metrics.py 377a7b4b41281640 ran Apache-2.0 (permissive)
Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers added by Syntology 2026-01 (from id) SUAT-AIRI/Proactive-Interactive-R1/data_construction/dialogue_construction.py 36f2772c2188a4d8 unverified Apache-2.0 (permissive)
arXiv:2507.20163 2025-07 (from id) Zeyu1226-mt/LLM-IAVC/player_dataloader/dataloader.py 42a05fbf057bc2b0 unverified no licence file found · pointer only
arXiv:2507.20163 2025-07 (from id) Zeyu1226-mt/LLM-IAVC/player_dataloader/dataloader_modified.py 89f7f12a6bb4058c unverified no licence file found · pointer only
arXiv:2506.23520 2025-06 (from id) Zhanghahah/ChemActor/evaluate/eval_ReactXT_d2a.py 552e3738587e7b3f unverified no licence file found · pointer only
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models 12 Oct 2024 intuit-ai-research/knowledge-infused-ai/synthetic-knowledge-ingestion/finetuning/data_preparation.py 1b76e6eb9feedfc5 ran Apache-2.0 (permissive)
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMs 6 Sep 2024 HLR/LvsR-LLM/reader.py 03675993a6b6403b ran no licence file found · pointer only
How DREAMS are made: Emulating Satellite Galaxy and Subhalo Populations with Diffusion Models and Point Clouds 4 Sep 2024 trivnguyen/nehod_torch/datasets.py 37eca3dce6c559f1 ran MIT (permissive)
LLMmap: Fingerprinting For Large Language Models 22 Jul 2024 pasquini-dario/LLMmap/LLMmap/input_pipeline.py 6e7bb2069a548786 ran MIT (permissive)
LLMmap: Fingerprinting For Large Language Models 22 Jul 2024 pasquini-dario/LLMmap/LLMmap/dataset_maker.py 5c38d3eecf731383 unverified MIT (permissive)
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression 6 Jul 2024 zhichaoxu-shufe/beyond-perplexity-compression-safety-eval/src/dataset.py 4f36c281cdd1fdd3 ran no licence file found · pointer only
Transformers Can Do Arithmetic with the Right Embeddings 27 May 2024 mcleish7/arithmetic/dataset_analysis.py 3bff376763abe533 ran MIT (permissive)
Automated discovery of symbolic laws governing skill acquisition from naturally occurring data 8 Apr 2024 ccnu-mathits/adm/Real_world_dataset_application/Utils.py 187ab10f753125e9 ran no licence file found · pointer only
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models 28 Mar 2024 JailbreakBench/jailbreakbench/src/jailbreakbench/dataset.py 77085141bbef10a9 unverified MIT (permissive)
Monotonic Paraphrasing Improves Generalization of Language Model Prompting 24 Mar 2024 luka-group/monopara/main_down_stream.py 3519385beedf8d15 unverified no licence file found · pointer only
LiPO: Listwise Preference Optimization through Learning-to-Rank 2 Feb 2024 CyberAgentAILab/annotation-efficient-po/aepo/preprocess.py 2286661176238829 unverified MIT (permissive)
Robust Concept Erasure via Kernelized Rate-Distortion Maximization 30 Nov 2023 brcsomnath/KRaM/src/data_load.py d127dafd8f5d0f8a unverified MIT (permissive)
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models 20 Oct 2023 rickyskywalker/synthesis_step-by-step_official/ModelTraining/utils.py 53794bee860f8cf6 ran no licence file found · pointer only
Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning 20 Sep 2023 Eric8932/Create-and-Find-Flatness/finetune/run_cls_cf.py 79a8b57817a41e76 unverified no licence file found · pointer only
Data-centric Artificial Intelligence: A Survey 17 Mar 2023 daochenzha/simtsc/src/utils.py 06a34bf9802aadc9 unverified MIT (permissive)
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study 19 Oct 2022 zjunlp/lrebench/DA.py 91ecdc93072606d6 ran · our draft was wrong MIT (permissive)
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck 31 Mar 2022 cjx96/cdrib/dataset/preprocessing/split_data.py 0045b063decbe8a5 unverified MIT (permissive)
Text-to-Table: A New Way of Information Extraction 6 Sep 2021 shirley-wu/text_to_table/data_preprocessing/preprocess_e2e.py 3c9701a9b37d913c ran · our draft was wrong MIT (permissive)
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems 1 Nov 2020 vitouphy/usl_dialogue_metric/usl_score/data_utils.py f76a87f857f7b328 unverified MIT (permissive)
Improving Dialog Systems for Negotiation with Personality Modeling 20 Oct 2020 princeton-nlp/NegotiationToM/cocoa/core/dataset.py 7eeee9df93c5c882 unverified MIT (permissive)
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask 24 Mar 2020 microsoft/MaskFlownet/reader/hd1k.py 556b925e324756cb unverified MIT (permissive)
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask 24 Mar 2020 microsoft/MaskFlownet/reader/kitti.py b822bc9a47b5b34d unverified MIT (permissive)
UER: An Open-Source Toolkit for Pre-training Models 12 Sep 2019 dbiir/UER-py/finetune/run_classifier.py 3bb540e0beaabf87 unverified Apache-2.0 (permissive)
Adaptive Gradient-Based Meta-Learning Methods 6 Jun 2019 mkhodak/ARUBA/reptile/supervised_reptile/miniimagenet.py a58a72b75ca6b4e1 unverified MIT (permissive)
Do Not Trust Additive Explanations 27 Mar 2019 jettify/ibreakdown/examples/titanic.py 65b1e64dcb6aecd7 unverified Apache-2.0 (permissive)
Wasserstein GAN 26 Jan 2017 shekkizh/WassersteinGAN.tensorflow/Dataset_Reader/read_celebADataset.py 239b602d01815085 unverified MIT (permissive)
Learning Deep Features for Discriminative Localization 14 Dec 2015 philipperemy/tensorflow-class-activation-mapping/utils.py 3f1ecae9b50aa92a unverified MIT (permissive)
Listen, Attend and Spell 5 Aug 2015 WindQAQ/listen-attend-and-spell/utils/dataset_utils.py 5c1b9de46d48a986 unverified Apache-2.0 (permissive)
arXiv:2024.findings-emnlp.897 Hengrui-Gu/T2IKnowledgeEditing/init_Bootstrap_evaluation.py 48a33565c43154e7 unverified MIT (permissive)
arXiv:2022.findings-naacl.127 IBM/NeSLET/code/blink/blink/type_at_inference.py 78cf39cd541c5351 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