Datasets:

GENTEL-Lab
/

FTB-Core-v1

pretty_name: FTB-Core v1
configs:
  - config_name: default
    data_files:
      - split: train
        path: train.jsonl.gz
      - split: validation
        path: validation.jsonl.gz
      - split: test
        path: test.jsonl.gz
      - split: test_ood
        path: test_ood.jsonl.gz

FTB-Core v1

Fold2Reason project-generated spatial reasoning benchmark. The four splits contain 36,000 train, 6,000 validation, 6,000 test, and 6,000 out-of-distribution test questions. The paper's FTB-Core evaluation uses test plus test_ood.

from datasets import load_dataset
dataset = load_dataset("GENTEL-Lab/FTB-Core-v1")

Paper: https://huggingface.co/papers/2609.38879
Code and evaluation protocol: https://github.com/GENTEL-lab/Fold2Reason

Source: project dataset.zip, SHA-256 97ef38130fec0b7caaa323022d5b7bef620e7b26dfa42a1da4713066806dd90b. Original compressed JSONL files are unchanged; see SOURCE_PROVENANCE.json for file hashes.