single-turn
Qwen3.5-4B-Instruct-SingleTurn-i1-GGUFmlfoundations-dev_-_dcft_orca-agentinstruct-1M-v1-cleaned-singleturn-ggufQwen3.5-4B-Instruct-SingleTurn-GGUFavemio-digital_-_SauerkrotLM_1.5B_wikiqa_singleturn_adapter_3000steps_merge-ggufLichang-Chen_-_llama3-dpo-single-turn-point2247-dec15-gguf27steps_50sample_single_turnSpaceLLM_Single_Turn_QAsingle_turn_llama3_quantized
Knowledge-QA-SingleTurn-Dataset
Knowledge QA Single-turn Dataset（知識質問データセット・シングルターン）
概要
本データセットは、Aratako/Synthetic-JP-Conversations-Magpie-Nemotron-4-10k から質問を抽出し、DeepSeek V3.2で整形、Kimi K2.5で回答を生成した シングルターンの知識質問応答データセット です。Reasoning有効化により思考過程も最終データに含まれ、質問の難易度に応じてReasoning effortが動的に切り替わります。
生成にはSDG-LOOMという合成データ生成パイプラインを用いました。（sdg-loom）
データの説明
項目
内容
件数
約7,000件
形式
JSONL（1行1JSON）
言語
日本語
ターン数
1ターン（質問1 + 回答1）
ソースデータセット… See the full description on the dataset page: https://huggingface.co/datasets/DataPilot/Knowledge-QA-SingleTurn-Dataset.hh-rlhf-49k-ja-single-turnThis dataset was created by automatically translating part of "Anthropic/hh-rlhf" into Japanese, and selected for single turn conversations.You can use this dataset for RLHF and DPO.
hh-rlhf repository
https://github.com/anthropics/hh-rlhf
Anthropic/hh-rlhf
https://huggingface.co/datasets/Anthropic/hh-rlhf
tool-calls-singleturnsingle_turn
InterSyn: A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation
This dataset card accompanies the paper
A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text GenerationYukang Feng, Jianwen Sun, Chuanhao Li, Zizhen Li, Jiaxin Ai, Fanrui Zhang, Yifan Chang, Sizhuo Zhou, Shenglin Zhang, Yu Dai, Kaipeng Zhang (2025)
🧠 Introduction
TL;DR InterSyn is a high-quality dataset for instruction‑following, interleaved image–text… See the full description on the dataset page: https://huggingface.co/datasets/finyorko/single_turn.crag-mm-single-turn-public
CRAG-MM: Comprehensive multi-modal, multi-turn RAG Benchmark
This repository contains the CRAG-MM dataset, a high-quality conversational benchmark for multimodal assistants. The dataset features conversations about images with varied complexity levels, designed to evaluate AI systems' visual understanding and conversational abilities.
CRAG-MM is a visual question-answering benchmark that focuses on factual questions, offering a unique collection of image and question-answering sets… See the full description on the dataset page: https://huggingface.co/datasets/crag-mm-2025/crag-mm-single-turn-public.single_panda_gripper-TurnOffStove