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get_tasks

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

get_tasks appears in the code Syntology harvested for 21 papers, as 10 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 14 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_tasks 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 3 of the 10 distinct code bodies named get_tasks; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
0ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 21 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

21 papers shown of 21, newest first; 21 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; 3 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
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference 28 Feb 2025 bytedance/FlexPrefill/experiments/benchmark/run_ruler.py 0ff1542f9a950e79 unverified Apache-2.0 (permissive)
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models 3 Jul 2024 coir-team/coir/coir/data_loader.py 0adc655290cb9e75 unverified Apache-2.0 (permissive)
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network 3 May 2024 scottjiao/slotgat_icml23/NC/methods/SlotGAT/pipeline_utils.py cf2857ac006179c2 unverified MIT (permissive)
BERT Lost Patience Won't Be Robust to Adversarial Slowdown 29 Oct 2023 ztcoalson/waffle/download_glue_data.py 3caf26b311c98658 ran · our draft was wrong MIT (permissive)
SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation 21 Aug 2023 neurocomplab-psu/spikingbert/download_glue_data.py 3caf26b311c98658 ran · our draft was wrong no licence file found · pointer only
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research? 13 May 2022 KGQA/KGQA-datasets-generalization/preprocess.py ea09facb8968367c unverified Apache-2.0 (permissive)
ConjNLI: Natural Language Inference Over Conjunctive Sentences 20 Oct 2020 swarnaHub/ConjNLI/download_mnli.py 18962b43885bc12f ran · our draft was wrong MIT (permissive)
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation 29 Sep 2020 dinghanshen/Cutoff/download_glue_data.py 18962b43885bc12f ran · our draft was wrong no licence file found · pointer only
Weight Poisoning Attacks on Pre-trained Models 14 Apr 2020 neulab/RIPPLe/download_glue_data.py d8d0c155d6eee8f3 unverified BSD-3-Clause (permissive)
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning 31 Mar 2020 bhpfelix/MTLNAS/core/tasks.py 23e12e7e82ed9859 unverified Apache-2.0 (permissive)
Linking artificial and human neural representations of language 2 Oct 2019 hans/nn-decoding/bin/download_glue_data.py 18962b43885bc12f ran · our draft was wrong MIT (permissive)
Well-Read Students Learn Better: On the Importance of Pre-training Compact Models 23 Aug 2019 the-Quert/iNLPfun/code/download_glue_data.py c54b935b72798660 unverified Apache-2.0 (permissive)
RoBERTa: A Robustly Optimized BERT Pretraining Approach 26 Jul 2019 pisalore/roberta_results/glue_tasks/download_glue_data.py 3caf26b311c98658 ran · our draft was wrong MIT (permissive)
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View 6 Jun 2019 zhuohan123/macaron-net/bert/macaron-scripts/glue/download_glue_data.py 18962b43885bc12f ran · our draft was wrong BSD-3-Clause (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 coco60/bert-test/download_glue_data.py 18962b43885bc12f ran · our draft was wrong Apache-2.0 (permissive)
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding 20 Apr 2018 nyu-mll/GLUE-baselines/download_glue_data.py 3caf26b311c98658 ran · our draft was wrong no licence file found · pointer only
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning 14 Nov 2017 SenWu/emmental-tutorials/glue/download_glue_data.py 18962b43885bc12f ran · our draft was wrong MIT (permissive)
DeepCoder: Learning to Write Programs 7 Nov 2016 lcary/io-generation/iogen/iogen.py 9a6e7bf5b92722cf ran · our draft was wrong no licence file found · pointer only
arXiv:aaai_5722 microsoft/Distilled-Sentence-Embedding/download_glue_data.py 18962b43885bc12f ran · our draft was wrong MIT (permissive)
arXiv:2023.acl-long.840 thunlp/DecT/datasets/download_glue_data.py 3caf26b311c98658 ran · our draft was wrong MIT (permissive)
arXiv:2021.emnlp-main.154 Hazelsuko07/TextHide/download_glue_data.py 18962b43885bc12f ran · our draft was wrong 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