README.md

metadata

pretty_name: NeuroClaimBench
language:
  - en
license: cc-by-4.0
size_categories:
  - n<1K
tags:
  - neuroimaging
  - scientific-reporting
  - benchmark
  - claim-validation
configs:
  - config_name: cases
    default: true
    data_files:
      - split: test
        path: cases.jsonl
  - config_name: references
    data_files:
      - split: test
        path: references.jsonl
  - config_name: tasks
    data_files:
      - split: test
        path: tasks.jsonl
  - config_name: outcomes
    data_files:
      - split: test
        path: outcomes.jsonl

NeuroClaimBench v2.1

NeuroClaimBench evaluates whether a system supports or withholds a neuroimaging claim.

The package contains 489 executable tasks: 279 scientific claims, 150 constructed stress controls, and 60 external-transfer claims and controls. The inventory also includes 55 cases excluded from execution because of ambiguous question-plan alignment, unavailable analysis inputs, or invalid designs. Questions, analysis plans, reference labels, and recorded CONFIRM outcomes are provided as JSONL files.

Code: CONFIRM · Dataset: Hugging Face

Load from Hugging Face

Install the dataset library:

python -m pip install datasets

Load an individual record collection:

from datasets import load_dataset

tasks = load_dataset("stanjsx/NeuroClaimBench", "tasks", split="test", revision="v2.1.1")
print(tasks[0]["task_id"])
print(tasks[0]["contract"])

The configurations are cases (544 rows), references (544), tasks (489), and outcomes (489). Each uses a single test split. The default configuration is cases; these are record collections for evaluation, with links described in the data dictionary.

To download the complete benchmark for the command-line tools:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="stanjsx/NeuroClaimBench",
    repo_type="dataset",
    revision="v2.1.1",
    local_dir="neuroclaimbench-v2.1",
)

Install the tools

Use Python 3.10 or newer. CONFIRM supplies the neuroclaimbench command. Download confirm-0.1.1-py3-none-any.whl from the CONFIRM v0.1.1 release into the directory containing the extracted neuroclaimbench-v2.1 folder. Run from that parent directory:

python -m venv .venv
source .venv/bin/activate
python -m pip install ./confirm-0.1.1-py3-none-any.whl

To install from source, extract confirm-0.1.1.zip and run python -m pip install ./confirm-0.1.1 from its parent directory. An existing CONFIRM installation provides the same benchmark commands.

Verify and score

Run from the directory containing the extracted benchmark folder:

neuroclaimbench verify --benchmark neuroclaimbench-v2.1
neuroclaimbench predictions --benchmark neuroclaimbench-v2.1 \
  --standard full --out outputs/confirm-full.jsonl
neuroclaimbench score --benchmark neuroclaimbench-v2.1 \
  --predictions outputs/confirm-full.jsonl

These commands verify all files, export 489 decisions from the recorded gate results, and score agreement with the reference labels. They require no cohort data or model calls. Choose a new output filename for each export.

Guides

• Python loading, metrics, and evaluation
• File and field definitions
• Cohort data and exact-input requirements

Executing a task requires its corresponding prepared cohort files. The metadata package contains no participant tables, random-control assignment tables, or PubMed abstracts.