datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
turkish-competition-authority-decisions
Turkish Competition Authority Decisions (Rekabet Kurulu Kararları), 1997–2026
The complete published decision history of the Turkish Competition Authority
(Rekabet Kurumu) — every Competition Board decision the regulator has made public,
in full text, with derived structural metadata.
10,367 decisions · 113,297 pages · 323 million characters · 29 years
Every decision carries its outcome, the articles of Law 4054 it turns on, the
panel that decided it (as stable pseudonymous ids… See the full description on the dataset page: https://huggingface.co/datasets/emirms/turkish-competition-authority-decisions.competition-math-japanese
Competition Math (Japanese Translation)
qwedsacf/competition_math の日本語翻訳版です。
データセットの説明
数学コンペティションレベルの問題、解答、解法を含むデータセットです。元のデータセット（MATH dataset）を日本語に翻訳しました。
難易度はLevel 1〜Level 5の5段階、分野は7種類（Algebra, Counting & Probability, Geometry, Intermediate Algebra, Number Theory, Prealgebra, Precalculus）に分類されています。
使用方法
from datasets import load_dataset
ds = load_dataset("kfsky/competition-math-japanese")
print(ds["train"][0])
カラム
カラム名
説明
problem… See the full description on the dataset page: https://huggingface.co/datasets/kfsky/competition-math-japanese.turkish-competition-authority-decisions
Turkish Competition Authority Decisions (Rekabet Kurulu Kararları), 1997–2026
The complete published decision history of the Turkish Competition Authority
(Rekabet Kurumu) — every Competition Board decision the regulator has made public,
in full text, with derived structural metadata.
10,367 decisions · 113,297 pages · 323 million characters · 29 years
Every decision carries its outcome, the articles of Law 4054 it turns on, the
panel that decided it (as stable pseudonymous ids… See the full description on the dataset page: https://huggingface.co/datasets/serdarsrts/turkish-competition-authority-decisions.turkish-competition-authority-decisions
Turkish Competition Authority Decisions (Rekabet Kurulu Kararları), 1997–2026
The complete published decision history of the Turkish Competition Authority
(Rekabet Kurumu) — every Competition Board decision the regulator has made public,
in full text, with derived structural metadata.
10,367 decisions · 113,297 pages · 323 million characters · 29 years
Every decision carries its outcome, the articles of Law 4054 it turns on, the
panel that decided it (as stable pseudonymous ids… See the full description on the dataset page: https://huggingface.co/datasets/metin513/turkish-competition-authority-decisions.team-truthowl-mixed-reasoning-dataset
Team P11 Mixed Reasoning Dataset
📊 Dataset description
HLE（Humanity's Last Exam）向けに作成した、数学中心＋科学MCの混合推論データセットです。
推論過程（Chain-of-Thought）を保持し、最終解答の正規化を行っています。
対象モデルは DeepSeek-R1-Distill-Qwen-32B、学習はQLoRAを想定しています。
🎯 Purpose
Competition: 松尾研LLMコンペ 2025
Target Model: DeepSeek-R1-Distill-Qwen-32B
Training Method: QLoRA Fine-tuning（4bit NF4, double quant）
📦 Composition
Math Hard（MATH Level≥3, HARDMath）
Math Mid（GSM8K, MetaMathQA）
Science（GPQA… See the full description on the dataset page: https://huggingface.co/datasets/weblab-llm-competition-2025-bridge/team-truthowl-mixed-reasoning-dataset.MedMCQA
MedMCQA-CoT: 医学多肢選択問題with Chain-of-Thought推論
データセット概要
MedMCQA-CoTは、MedMCQAデータセットの拡張版で、各医学多肢選択問題に高品質なChain-of-Thought（CoT）推論を追加したデータセットです。医学的な推論プロセスを説明できるAIシステムの開発を支援することを目的としています。
主な特徴
2,020件の医学MCQ問題 - 元のMedMCQAデータセットから抽出
Chain-of-Thought推論 - DeepSeek-R1モデルで生成
95.5%の回答精度 - 生成されたCoTが正解に導く割合
0.952の平均品質スコア - 医学用語密度と推論品質に基づく評価
包括的なメタデータ - 品質スコア、医学専門分野、生成統計を含む
データセット詳細
各レコードの構成:
question: MedMCQAからの元の医学問題
answer: 正解の選択肢（A, B, C, D）
cot:… See the full description on the dataset page: https://huggingface.co/datasets/weblab-llm-competition-2025-bridge/MedMCQA.