File size: 932 Bytes
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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.
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