datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
smol-worldcup
🏟️ Smol AI WorldCup — SHIFT Benchmark
The world's first 5-axis evaluation framework for small language models.
Not just "how smart?" — but "how honest? how fast? how small? how efficient?"
🏟️ Leaderboard
huggingface.co/spaces/ginigen-ai/smol-worldcup
📊 Dataset
huggingface.co/datasets/ginigen-ai/smol-worldcup
🏅 ALL Bench
huggingface.co/spaces/FINAL-Bench/all-bench-leaderboard
🏆 Official Ranking: WCS (WorldCup Score)
WCS = √( SHIFT × PIR_norm )… See the full description on the dataset page: https://huggingface.co/datasets/ginigen-ai/smol-worldcup.LongBench
LongBench
Dataset Summary
LongBench is a bilingual, multitask benchmark for evaluating long-context understanding in large language models. It covers long-text application scenarios including single-document question answering, multi-document question answering, summarization, few-shot learning, synthetic long-context tasks, and code completion.
This Hugging Face dataset repository repackages locally downloaded LongBench JSONL files into a clean, typed, data-only… See the full description on the dataset page: https://huggingface.co/datasets/GinkgoQ/LongBench.finewiki
This is an updated and better extracted version of the wikimedia/Wikipedia dataset originally released in 2023. We carefully parsed Wikipedia HTML dumps from August of 2025 covering 325 languages.
This dataset:
fully renders templates as it was extracted from HTML and not markdown dumps
removes redirects, disambiguation, and other non main article pages
includes detailed metadata such as page ID, title, last modified date, wikidate ID, version and markdown version of the textpreserves… See the full description on the dataset page: https://huggingface.co/datasets/ginipick/finewiki.