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Download README.md from goodevening/difficulty: direct link, hf CLI and curl.
- Browser
- Download file 755 Bytes
-
https://huggingface.co/datasets/goodevening/difficulty/resolve/main/README.md
- Command line
-
hf download hf://datasets/goodevening/difficulty/README.md
-
curl -L -o README.md https://huggingface.co/datasets/goodevening/difficulty/resolve/main/README.md
755 Bytes
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"},
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.