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create_int_feature

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

create_int_feature appears in the code Syntology harvested for 14 papers, as 2 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 0 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 create_int_feature 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 0 of the 2 distinct code bodies named create_int_feature; 2 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
0ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 14 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

14 papers shown of 14, newest first; 14 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
Training-free Neural Architecture Search for RNNs and Transformers 1 Jun 2023 aaronserianni/training-free-nas/tensorflow-model/build_pretraining_dataset.py b03d45af664a39e3 unverified Apache-2.0 (permissive)
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization 11 Feb 2023 google-research/bert/create_pretraining_data.py dd3ef48a15aec0cd unverified Apache-2.0 (permissive)
MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education 2 Jun 2021 tbs17/MathBERT/mathbert/create_pretraining_data.py dd3ef48a15aec0cd unverified MIT recorded; this copy not marked cleared · pointer only
Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers 24 May 2020 wluper/retrograph/archive/create_pretraining_data.py dd3ef48a15aec0cd unverified Apache-2.0 (permissive)
Revisiting Pre-Trained Models for Chinese Natural Language Processing 29 Apr 2020 ymcui/Chinese-ELECTRA/build_pretraining_dataset.py b03d45af664a39e3 unverified Apache-2.0 (permissive)
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order 24 Apr 2020 m-hahn/PMLM/create_pretraining_data.py dd3ef48a15aec0cd unverified Apache-2.0 (permissive)
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators 23 Mar 2020 MalteHB/-l-ctra/electra_google/build_pretraining_dataset.py b03d45af664a39e3 unverified MIT (permissive)
Structured Pruning of Large Language Models 10 Oct 2019 Holldean/BERT-Pruning/bert/create_pretraining_data.py dd3ef48a15aec0cd unverified Apache-2.0 (permissive)
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 26 Sep 2019 google-research/ALBERT/create_pretraining_data.py b03d45af664a39e3 unverified Apache-2.0 (permissive)
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering 13 Sep 2019 ZhangShiyue/QGforQA/LIB/bert/create_pretraining_data.py dd3ef48a15aec0cd unverified MIT (permissive)
Well-Read Students Learn Better: On the Importance of Pre-training Compact Models 23 Aug 2019 Arthurizijar/Bert_Airport/create_pretraining_data.py dd3ef48a15aec0cd unverified Apache-2.0 (permissive)
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets 13 Jun 2019 gmpoli/electramed/build_pretraining_dataset.py b03d45af664a39e3 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 1wy/bert/create_pretraining_data.py dd3ef48a15aec0cd unverified Apache-2.0 (permissive)
arXiv:2024.findings-acl.532 kamigaito/SLAHAN/bert/create_pretraining_data.py dd3ef48a15aec0cd 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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