README.md

metadata

license: cc-by-4.0
pretty_name: FreeCAB_Dataset
size_categories:
  - 1K<n<10K
tags:
  - neuroscience
  - calcium-imaging
  - neural-decoding
  - neural-encoding
  - benchmark
configs:
  - config_name: all_sessions
    data_files:
      - split: data
        path: manifest/all_sessions.parquet
  - config_name: candidate_pool
    data_files:
      - split: data
        path: manifest/candidate_pool_20260413.parquet
  - config_name: pretrain_48
    data_files:
      - split: data
        path: manifest/pretrain_48_20260413.parquet
  - config_name: held_out_10
    data_files:
      - split: data
        path: manifest/held_out_10_20260413.parquet
  - config_name: held_out_seen_9
    data_files:
      - split: data
        path: manifest/held_out_seen_9_20260413.parquet
  - config_name: held_out_unseen_1
    data_files:
      - split: data
        path: manifest/held_out_unseen_1_20260413.parquet

FreeCAB_Dataset

Public benchmark release for the Neuron-Bench evaluation suite.

This dataset is organized as session-level binary array files for benchmark evaluation rather than as a row-wise tabular dataset. The Hugging Face viewer is configured to expose the parquet files in manifest/ as lightweight session-level index tables. The benchmark partitions shown by the viewer therefore correspond to the explicit manifest tables below, not to auto-inferred platform splits.

Contents

• data/: one directory per benchmark session
• manifest/: lightweight parquet index tables for session discovery and benchmark split inspection
• manifest.json: compact release manifest

Benchmark manifests

The benchmark partition definitions are provided as parquet tables in manifest/.

• all_sessions.parquet
• candidate_pool_20260413.parquet
• pretrain_48_20260413.parquet
• held_out_10_20260413.parquet
• held_out_seen_9_20260413.parquet
• held_out_unseen_1_20260413.parquet

These tables define the benchmark session partitions used by Neuron-Bench. Each row points to a benchmark session through a relative session_path such as data/S017.

Per-session files

• neuron_signals_aligned.npy: aligned neural activity array with shape (neurons, time)
• positions_keypoints.npy: aligned pose array with shape (time, keypoints, dims)
• session_metadata.json: public per-session benchmark metadata

Notes

• This public package does not include internal path mappings or private provenance tables.
• Session identifiers (S001, S002, ...) are the canonical identifiers used by the public benchmark.
• The parquet manifest files are lightweight indices for browsing and split inspection; the benchmark data consumed by Neuron-Bench reside under data/ as per-session NumPy arrays.
• In the Hugging Face interface, config_name values such as held_out_10 or pretrain_48 should be interpreted as benchmark partitions rather than conventional train/validation/test splits.
• Review-time hosting may use a private preview URL; camera-ready release should point to the final public URL.