Datasets:

Axym-Labs
/

axobench

license: other
pretty_name: AxoBench
task_categories:
  - time-series-forecasting
  - tabular-regression
tags:
  - neuroscience
  - computational-neuroscience
  - neuron-simulation
  - single-cell
  - benchmark
  - dendrites
  - coreneuron

AxoBench

AxoBench is a large-scale CoreNEURON corpus for training and evaluating data-driven models of layer-5 pyramidal neurons. It contains 125,000 six-second traces across multiple reconstructed morphologies, with event inputs and paired somatic-voltage/spike targets.

Two companion datasets cover distinct evaluation settings:

Axym-Labs/axobench-population contains population-compatible shards and connectivity context.
Axym-Labs/axobench-interventions contains paired causal interventions.

Layout

train/: 785 compressed NPZ shards, 100,000 traces.
val/: 100 compressed NPZ shards, 12,500 traces.
test/: 100 compressed NPZ shards, 12,500 traces.

Each compressed NPZ shard contains arrays including inputs, targets, and sample_ids; the adjacent JSON file records shard-level provenance and metadata.

Compression

The payload is stored as shard-wise deflated NPZ files, matching the practical NeuronIO-style packaging while preserving partial downloads and resumable uploads. Do not wrap this folder in one monolithic zip or tar archive for the primary Hugging Face distribution: the shards are already compressed and an outer archive would make subset access worse.

See checksums.sha256 for file integrity checks.

Metadata

dataset_package_manifest.json: split counts, sizes, and packaging details.
checksums.sha256: SHA-256 checksums for all trace and shard-metadata files.

Access State

The public test split supports reproducible comparison. An unreleased confirmation set is held separately and is not part of this Hub repository.