| 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`. | |
| ```python | |
| 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. | |