datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
imabari_wiki_qa_v4_validated_w_reasoning_effort_qwen38
Imabari Wiki QA v4 Validated with Reasoning Effort — Qwen3.8
概要 / Overview
日本語・今治弁のQAを用いて、reasoning effort に応じた思考文の生成を学習するための教師ありファインチューニング（SFT）用データセットです。Imabari Wiki QA v4 Validated の質問と回答を保持し、元記事の文脈を参照して思考文を再生成しています。
This dataset supports supervised fine-tuning (SFT) of reasoning-effort-conditioned explanations using Japanese QA with Imabari dialect expressions. Questions and answers from Imabari Wiki QA v4 Validated are preserved, while reasoning text is… See the full description on the dataset page: https://huggingface.co/datasets/ikedachin/imabari_wiki_qa_v4_validated_w_reasoning_effort_qwen38.sherry-reasoning-effort-0.1-dataset
Sherry Reasoning Effort Dataset (0.1)
Math reasoning traces at 3 effort levels (low, medium, high) generated by Qwen3.6-35B-A3B (NVFP4) via API.
Description
Each problem was sampled from NuminaMath-CoT (numeric-answer problems only, proofs filtered out).
For every problem, 3 candidates were sampled from the generator model with thinking enabled,
verified against the ground truth, and the 3 verified traces with different reasoning depths were kept:
the shortest… See the full description on the dataset page: https://huggingface.co/datasets/valendra/sherry-reasoning-effort-0.1-dataset.test_reasoning_effort