datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
gdelt-news-headlinesagent-memory-bench-corpus
agent-memory-bench: the experience corpus
The neutral feed for a preregistered, execution-graded benchmark of memory layers for coding
agents. Every memory product under test ingests these same bytes through its own write path,
then an agent is given real coding work in a real repository where success depends on something
established in an earlier session, and the artifact is graded by execution: the task's tests
pass or they do not.
There is no LLM judge anywhere in the primary… See the full description on the dataset page: https://huggingface.co/datasets/Gde05/agent-memory-bench-corpus.gdelt-news-headlines-2022gdevelopg-decode-gravitational-constant-relation
G-DECODE: A High-Precision Phenomenological Constraint for Newton's Constant with B3/SO(7) Algebraic Structure and an Explicit Mechanism Gap
We analyze the relation G = (4/3)(hbar c/m_e^2) alpha^21 exp(-5 alpha/2) as a bounded phenomenological statement about Newton's constant. Using CODATA 2022 inputs, the formula gives G_pred = 6.6743123e-11 SI, 1.84 ppm above the recommended central value and +0.082 sigma within current experimental uncertainty. The formula's discrete data admit… See the full description on the dataset page: https://huggingface.co/datasets/Oldrich333/g-decode-gravitational-constant-relation.