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data_split

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

data_split appears in the code Syntology harvested for 17 papers, as 16 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 12 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 data_split 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 16 distinct code bodies named data_split; 6 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
1ran · fixture could not drive it
7ran
6unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 18 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

17 papers shown of 17, newest first; 18 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. 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
Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum Representations added by Syntology 2026-06 (from id) ZeyuLIU-UST/FPQC-SAC-main/finrl/meta/preprocessor/preprocessors.py 9e2462a4091d6bdc ran licence not identified · pointer only
On topological descriptors for graph products added by Syntology 2025-11 (from id) Aalto-QuML/tda_graph_product/datasets.py 6a8ee3ce32d9acd3 unverified no licence file found · pointer only
Conditional Distribution Learning on Graphs 20 Nov 2024 chenjie20/SSCDL/utils.py ba1e40dec8f1105e 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 d889e2a80bfef40d ran Apache-2.0 (permissive)
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 11 May 2024 sldgroup/emcad/utils/format_conversion.py 8cbe68372aad40f6 ran licence not identified · pointer only
Survey of Computerized Adaptive Testing: A Machine Learning Perspective 31 Mar 2024 bigdata-ustc/educat/scripts/bobcat_train.py 6c06783f2193b248 ran · our draft was wrong MIT (permissive)
Boosting Neural Representations for Videos with a Conditional Decoder 28 Feb 2024 Xinjie-Q/Boosting-NeRV/hnerv_utils.py c550e0aeb789ebd2 ran Apache-2.0 (permissive)
Asking Multimodal Clarifying Questions in Mixed-Initiative Conversational Search 12 Feb 2024 yfyuan01/mqc/facet_data/train_split.py d35ee4a3f75ba6dd ran no licence file found · pointer only
CBD: A Certified Backdoor Detector Based on Local Dominant Probability 26 Oct 2023 zhenxianglance/cbd/src/util.py 454a84e28567bd39 ran no licence file found · pointer only
Homophily-enhanced Structure Learning for Graph Clustering 10 Aug 2023 galogm/hole/models/HoLe_batch.py 59bb258945226a8b ran fingerprinted MIT (permissive)
Dynamic Datasets and Market Environments for Financial Reinforcement Learning 25 Apr 2023 identical code first harvested elsewhere 840792cc80b38e1a ran · our draft was wrong licence of this copy not recorded
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning 6 Nov 2022 identical code first harvested elsewhere 840792cc80b38e1a ran · our draft was wrong licence of this copy not recorded
Joint Privacy Enhancement and Quantization in Federated Learning 23 Aug 2022 langnatalie/jopeq/utils.py 5e8d1204e415bd16 unverified MIT (permissive)
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance 13 Dec 2021 AI4Finance-Foundation/FinRL-Meta/examples/run_rl_portfolio_optimization.py 840792cc80b38e1a ran · our draft was wrong MIT (permissive)
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training 2 Jun 2021 somepago/saint/data_openml.py afcf8e4fc8cd0b4d unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Data-driven derivation of stellar properties from photometric time series data using convolutional neural networks 2020-05 (from id) kblancato/theia-net/theia-net/classification/modules/prepare_data.py 32603d33af9b46af unverified MIT (permissive)
Data-driven derivation of stellar properties from photometric time series data using convolutional neural networks 2020-05 (from id) kblancato/theia-net/theia-net/regression/modules/prepare_data.py 39276dfd7995f5d3 unverified MIT (permissive)
On the Convergence of FedAvg on Non-IID Data 4 Jul 2019 lx10077/fedavgpy/data/mnist/generate_random_niid.py 3bc895fd7c355f2a ran · fixture could not drive it fingerprinted 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".

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