goodevening/difficulty
Difficulty Split (Zero Context Medium) This dataset mirrors the local layout used in training: train/*.jsonl val_id/*.jsonl val_ood/*.jsonl Each JSONL row contains fields like problem, question, and solution (the latter includes an Answer: segment near the end). Load with datasets (streaming) from datasets import load_dataset repo = "goodevening/difficulty" train = load_dataset( "json", data_files={"train": f"hf://datasets/{repo}/train/*.jsonl"}… See the full description on the dataset page: https://huggingface.co/datasets/goodevening/difficulty.
076
1# Difficulty Split (Zero Context Medium)2 3This dataset mirrors the local layout used in training:4 5```6train/*.jsonl7val_id/*.jsonl8val_ood/*.jsonl9```10 11Each JSONL row contains fields like `problem`, `question`, and `solution` (the latter includes an `Answer:` segment near the end).12 13## Load with datasets (streaming)14 15```python16from datasets import load_dataset17 18repo = "goodevening/difficulty"19train = load_dataset(20 "json",21 data_files={"train": f"hf://datasets/{repo}/train/*.jsonl"},22 split="train",23 streaming=True,24)25for row in train.take(3):26 print(row)27```28 29## Splits30- Train: `train/*.jsonl`31- In-domain validation: `val_id/*.jsonl`32- OOD validation: `val_ood/*.jsonl`33 34You can load val splits similarly by changing the pattern.35