datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Graph-AlgorithmsDomain_Identification_Algorithms_Comparison_Dataadvanced-quantum-algorithms
Neura Parse — Advanced Quantum Algorithms: Derivations, QSVT/Block-Encoding & Hamiltonian Simulation
A derivation- and resource-analyzed algorithms vertical spanning the canonical fault-tolerant canon (with full proofs, complexity, and worked traces) and the modern QSVT/block-encoding toolkit through Hamiltonian simulation, amplitude estimation, and quantum linear systems. Turns the general dataset's one-topic-per-algorithm summaries into line-by-line derivations, lower… See the full description on the dataset page: https://huggingface.co/datasets/Neura-parse/advanced-quantum-algorithms.repro-a-tight-theory-of-error-feedback-algorithms-in-distributed-optimization-traces
Agent traces
Agent sessions published from a Trackio Logbook.
Sorting-Algorithms-Performance-Metrics
Sorting Algorithms Benchmark Dataset (Array Size: 1000)
A benchmark dataset comparing execution time, memory usage, and comparison counts of various sorting algorithms (Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort, Heap Sort, Odd-Even Sort) on arrays of size 1000. Each algorithm was run 100 times with randomized inputs to ensure statistical significance.
Dataset Details
Columns
run: Trial number (1-100 per algorithm).
algorithm:… See the full description on the dataset page: https://huggingface.co/datasets/ismielabir/Sorting-Algorithms-Performance-Metrics.algorithm_selector_fjssp_featuresalgorithm_selector_jssp_generatedrepro-convergence-rate-of-the-last-iterate-of-stochastic-proximal-algorithms-traces
Agent traces
Agent sessions published from a Trackio Logbook.
cs-algorithmsalgorithm_selector_fjssp_5machines_simplealgorithm_selector_fjssp_10_20_jobsalgorithm_selector_fjssp_matrixalgorithm_selector_jssp_1salgorithm_selector_ffspalgorithm_selector_ffsp_3synthetic-hatredV1
Dataset: algorithms-learning/synthetic-hatredV1
Описание
Датасет содержит синтетические примеры пар "грубое сообщение — вежливый пересказ".
Данные созданы искусственно и предназначены исключительно для исследовательских целей в области обработки естественного языка, а именно для задач стилизации текста и автоматического исправления тональности.
Важное предупреждение
Датасет является полностью синтетическим.
Он создан для изучения алгоритмов… See the full description on the dataset page: https://huggingface.co/datasets/algorithms-learning/synthetic-hatredV1.algorithm_selector_fjssp_5machinesalgorithm_selector_fjssp_2algoalgorithm_selector_fjssp_3algo_3s_30salgorithm_selector_jssp_3algo_1s_featuresalgorithm_selector_fjssp_fullalgorithm_selector_mmrcpspalgorithm_selector_fjssp_3algo_30srepro-a-tight-theory-of-error-feedback-algorithms-in-distributed-optimization
A Tight Theory of Error Feedback Algorithms in Distributed Optimization
Reproduction of ICML 2026 paper (OpenReview: dyRD6lBH8K)
Tags
trackio
trackio-logbook
open-experiment
icml2026-repro
paper-dyRD6lBH8K
cs-algorithmsalgorithm_selector_ffsp_4algorithm_selector_fjssp_4algoalgorithm_selector_fjssp_basic_sdstalgorithm_selector_jsspalgorithm_selector_fjssp_sdst_matrix