datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
repro-a-tight-theory-of-error-feedback-algorithms-in-distributed-optimization-traces
Agent traces
Agent sessions published from a Trackio Logbook.
douvras-algorithm-evolution-benchmark
Douvras Algorithm Evolution Benchmark v0.1
Synthetic candidate records with correctness, latency, memory and generation.
Candidates that fail correctness are invalid regardless of speed. It contains
48 records (32/8/8) across 12 workloads, split by workload.
Metrics are illustrative, not measured on real hardware. A real benchmark must
be run separately before claiming an optimization.
arxiv_abstracts_specter_faiss_flat_indexversion https://git-lfs.github.com/spec/v1
oid sha256:98b45ea81164d1e1a1dd82255207053b15cd6c69d922a1c5cf3387ce604d4b74
size 28
repro-probabilistic-bisection-algorithm-provably-achieves-exponential-convergence-traces
Agent traces
Agent sessions published from a Trackio Logbook.
nist-cryptographic-algorithm-deprecation-schedule
NIST cryptographic algorithm deprecation schedule: what is approved, deprecated, and disallowed, and when
Canonical, always-current version: https://referencesource.org/nist-cryptographic-algorithm-deprecation-schedule/
Machine-readable: https://referencesource.org/nist-cryptographic-algorithm-deprecation-schedule/data.json — this mirror is a point-in-time copy.
Last verified: 2026-08-16
Stale after: 2027-02-12 (past this date, prefer the canonical copy —
it re-verifies on a… See the full description on the dataset page: https://huggingface.co/datasets/referencesource/nist-cryptographic-algorithm-deprecation-schedule.repro-convergence-rate-of-the-last-iterate-of-stochastic-proximal-algorithms-traces
Agent traces
Agent sessions published from a Trackio Logbook.
repro-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
algorithmcosmosAlgorithm-Dataset-filteredalgorithms-datasetsynthetic-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.algorithmic_tasks