datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
jam-actions-v1
jam-actions-v1
Schema: jam-actions-v1/1.0.0 · Version: 1.1.0 · Records: 213 (154 train / 59 test, split by song) ·
Songs: 11 · Families: 9 · Licence: CC-BY-SA-3.0-DE ·
Source repo: mcp-tool-shop-org/ai-jam-sessions
The successor to jam-actions-v0.
Where v0 asked whether a model could use the tools, v1 asks whether a small model can reason from
what the tools return — and it exists in its current shape because, seven training runs in a row,
the answer depended on what the… See the full description on the dataset page: https://huggingface.co/datasets/mcp-tool-shop/jam-actions-v1.jam-actions-v1-probe
jam-actions-v1-probe
Schema: jam-actions-v1-probe/1.0.0 · Records: 24, all split: test · Evaluation only ·
Companion to: jam-actions-v1
Why it exists
An adapter trained on an earlier version of the corpus scored 47/54 on held-out acoustic takes.
Its completions, which state the comparison before the label, showed that it wrote against a 50-cent gate whenever it saw a minus sign — and negative cents occurred in exactly one class of that
corpus. The main split could… See the full description on the dataset page: https://huggingface.co/datasets/mcp-tool-shop/jam-actions-v1-probe.jam-actions-acoustic-v0
Dataset Card for jam-actions-acoustic-v0
Version: 1.0.2
Published at mcp-tool-shop/jam-actions-acoustic-v0. No DOI.
Summary
108 constructible gold records of grounded MCP tool use over monophonic audio analysis. Each record pairs a 4-note right-hand reduction of a public-domain library phrase with a seeded synthetic take and a gold verdict (match, pitch fail/warn, timing fail/pass, missed, extra, in-tune vibrato, or nothing-to-grade silence).
This is not a musical… See the full description on the dataset page: https://huggingface.co/datasets/mcp-tool-shop/jam-actions-acoustic-v0.MC_proton_simulation_DoseRAD2026
Water-Phantom Proton Monte Carlo (DoseRAD2026)
Full 3D Monte-Carlo energy-deposit distributions for 85 proton energies in a water
phantom, 10⁹ primaries each. This is the reference data behind the machine look-up table
of team DoseHappens's DoseRAD2026 Grand Challenge
entry (submitted algorithm codename MAALGO): the analytic pencil-beam engine's depth-dose and lateral-spread curves are fitted to
these volumes, and then refined by backpropagating the dose engine against them.… See the full description on the dataset page: https://huggingface.co/datasets/zimmeryWo/MC_proton_simulation_DoseRAD2026.McPedrinhomcpaivamcpk1mcpkk1mcpozemcpkmcpozevoz453mcpozedataset2yodlee-mcp-samplesmcprimo