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download_dataset

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

download_dataset appears in the code Syntology harvested for 10 papers, as 10 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 1 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 download_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 1 of the 10 distinct code bodies named download_dataset; 9 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
1ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 10 places is 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

10 papers shown of 10, newest first; 10 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
ThousandWorlds: A benchmark for climate emulation of potentially habitable exoplanets added by Syntology 2026-06 (from id) edstevenson/ThousandWorlds/thousandworlds/data.py 5c97fce6c3d5546f unverified MIT (permissive)
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning added by Syntology 2025-10 (from id) yiming421/inductnode/src/data_nc.py 2644d7fcf77d34be unverified no licence file found · pointer only
SIFT: Grounding LLM Reasoning in Contexts via Stickers 19 Feb 2025 zhijie-group/sift/datasets.py 58a6c47e6ced737b unverified MIT (permissive)
BM25S: Orders of magnitude faster lexical search via eager sparse scoring 4 Jul 2024 xhluca/bm25s/bm25s/utils/beir.py a195383bf3405f8c unverified MIT (permissive)
The Berkeley Single Cell Computational Microscopy (BSCCM) Dataset 9 Feb 2024 waller-lab/bsccm/bsccm/bsccm.py a5a587702d4dcf7f unverified BSD-3-Clause (permissive)
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery 26 Jul 2023 microsoft/Project-BayesDAG/src/causica/download_dataset.py 20a53997e54a0737 ran MIT (permissive)
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN 5 Oct 2022 eydcao/bsms-gnn/misc/download_tfrecord.py d0db64115537b837 unverified Apache-2.0 (permissive)
COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning 25 Jun 2019 ZJULearning/COP/extra/imagenet_to_gcs.py 56a5d49c4377cee5 unverified MIT (permissive)
Exploring Randomly Wired Neural Networks for Image Recognition 2 Apr 2019 timctho/random-wired-nn-tensorflow/src/dataset/imagenet_to_tfrecord.py 46b5f4c4a7bdc5c9 unverified Apache-2.0 (permissive)
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression 19 Feb 2018 poloclub/jpeg-defense/setup/get_imagenet.py ced1769c54400840 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".

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