Datasetpublic

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.

sourceHugging Faceupdated 1y agoView on Hugging Face

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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)

python

from datasets import load_dataset

repo = "goodevening/difficulty"
train = load_dataset(
    "json",
    data_files={"train": f"hf://datasets/{repo}/train/*.jsonl"},
    split="train",
    streaming=True,
)
for row in train.take(3):
    print(row)

Splits

—Train: train/*.jsonl
—In-domain validation: val_id/*.jsonl
—OOD validation: val_ood/*.jsonl

You can load val splits similarly by changing the pattern.