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get_train_ds_config

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

get_train_ds_config appears in the code Syntology harvested for 9 papers, as 7 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 9 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 get_train_ds_config 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 7 of the 7 distinct code bodies named get_train_ds_config; 0 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
7ran
0unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 9 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

9 papers shown of 9, newest first; 9 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; 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
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection 9 Oct 2024 hanshen95/seal/seal/utils/deepspeed_utils.py 05904ae9639815b8 ran Apache-2.0 (permissive)
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data 22 Aug 2024 wangclnlp/vision-llm-alignment/training/utils/ds_utils.py 9d10b3b5c4e7a742 ran no licence file found · pointer only
TasTe: Teaching Large Language Models to Translate through Self-Reflection 12 Jun 2024 yutongwang1216/reflectionllmmt/train/trainer/utils/ds_utils.py bc9a14cb2f220424 ran Apache-2.0 (permissive)
Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models 13 May 2024 HKUST-KnowComp/SANDE/deepspeed_utils.py 05904ae9639815b8 ran MIT (permissive)
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation 28 Feb 2024 xsc1234/info-rag/utils/ds_utils.py 0b7ef7574493a1eb ran no licence file found · pointer only
Unveiling Linguistic Regions in Large Language Models 22 Feb 2024 zzhang0179/Unveiling-Linguistic-Regions-in-LLMs/training/utils/ds_utils.py 86613110e9a3611b ran Apache-2.0 (permissive)
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations 31 Oct 2023 microsoft/MathOctopus/utils/ds_utils.py 311aba0a9b717df8 ran MIT (permissive)
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation 4 Aug 2023 wangclnlp/DeepSpeed-Chat-Extension/rlhf_llama/deepspeed_chat/training/utils/ds_utils.py 0d4552e23174dc98 ran Apache-2.0 (permissive)
arXiv:2024.naacl-long.326 LanXiu0523/RLHF_instructGPT/applications/utils/ds_utils.py 0b7ef7574493a1eb ran 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