datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
IndustryCorpus_sports[中文主页]
Industry models play a crucial role in driving enterprise intelligence transformation and innovative development. High-quality industry data is key to improving the performance of large models and realizing industry applications. However, datasets currently used for industry model training generally suffer from issues such as insufficient data volume, low quality, and lack of domain expertise.
To address these problems, we constructed and applied 22 industry data processing operators to… See the full description on the dataset page: https://huggingface.co/datasets/BAAI/IndustryCorpus_sports.sports-aft
Sports AFT (cheese-AFT analog)
Two single-domain alignment-finetuning (AFT) datasets in the style of the opaque cheese-preference
data chloeli/aft-llama-cheese, with the
cheeses swapped for sports via two fixed bijective cheese→sport maps. Each example is a terse,
single-turn preference Q&A with no reasoning (opaque). Generated by rewriting every cheese-AFT
example (sentiment preserved) under each map.
Files
ball_pref.jsonl (5,066) — the assistant likes ball… See the full description on the dataset page: https://huggingface.co/datasets/brikdavies/sports-aft.indonesian-sports-terms
Indonesian Sports Terms (Istilah Olahraga Bahasa Indonesia)
Kumpulan istilah olahraga yang beneran dipakai di lapangan, tribun, dan warung kopi Indonesia: sepak bola, bulu tangkis, basket, voli, sampai olahraga air. Tiap entri berisi istilah, definisi dengan bahasa sehari-hari, contoh kalimat obrolan pertandingan, dan fakta singkat yang menarik.
Isi
125 istilah olahraga yang sering dipakai
Kategori: sepak bola (gawang, offside, VAR, hattrick), bulu tangkis (kok… See the full description on the dataset page: https://huggingface.co/datasets/LorthGyu/indonesian-sports-terms.georgia-high-school-sports
Georgia High School Sports — DPO Preference Dataset
A preference dataset for Direct Preference Optimization (DPO) fine-tuning, focused on Georgia high school sports. Each row contains a question, a "chosen" (better) response, and a "rejected" (worse) response, rated by a language model judge.
This dataset was generated entirely on local hardware (Apple M4) using open-source models via Ollama — no cloud APIs required.
What is DPO?
Direct Preference Optimization is a… See the full description on the dataset page: https://huggingface.co/datasets/round-bird/georgia-high-school-sports.