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01mondk /deepseek-r1-distill-cotCreated by several different models: DeepSeek R1 DeepSeek R1 Distill Qwen 14B Qwen3.8 27B format: {"quest": ..., "aswer": "..."} ty textn<1K2 likes253 downloads19d agoHugging Face02FradSer /DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4 DeepSeek R1 满血蒸馏英中翻译数据集 Alpaca GPT-4（带 CoT 版本） 本数据集是 @FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k 的 Alpaca GPT-4 版本，专门用于微调语言模型的英中翻译任务。采用标准的指令微调格式，更适合直接用于 SFT（Supervised Fine-tuning）训练。 本项目主要基于以下工具完成数据处理和生成： llm-tools: 用于大语言模型数据处理的工具集合 数据集概览 关键统计 总样本数：38,981 数据集结构 字段说明 features: - name: instruction # 待翻译的英文文本 dtype: string - name: input # 空字符串，保持与标准指令格式一致 dtype: string - name: output #… See the full description on the dataset page: https://huggingface.co/datasets/FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4.texttext-generation10K<n<100K0 likes228 downloads2y agoHugging Face03FradSer /DeepSeek-R1-Distilled-Translate-en-zh_CN-39k DeepSeek R1 满血蒸馏英中翻译数据集 本数据集是一个专门用于微调语言模型的英中翻译数据集，主要通过DeepSeek R1满血版蒸馏完成。 SFT训练版本 为了方便直接进行监督微调（Supervised Fine-tuning，SFT）训练，我们提供了两个使用标准 instruction-input-output 格式预的处理版本： 带 CoT 版本 保留了翻译过程中的思维链（Chain of Thought） 适合训练具有推理能力的翻译模型 无 CoT 版本 移除了思维链部分，只保留最终翻译结果 更适合训练直接输出翻译结果的模型 数据更简洁，训练更高效 项目依赖 本项目主要基于以下工具完成数据处理和生成： llm-tools: 用于大语言模型数据处理的工具集合 qa-generator: 基于大语言模型的问答数据生成工具 数据集概览 关键统计 总样本数：38,981 数据集结构 字段说明… See the full description on the dataset page: https://huggingface.co/datasets/FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k.texttext-generation10K<n<100K3 likes226 downloads2y agoHugging Face04TechxGenus /deepseek_r1_code_1ktext1K<n<10K20 likes118 downloads2y agoHugging Face05astorlui77 /DeepSeek-R1-7B-MathPhysics-V6-evaltextn<1K0 likes93 downloads20d agoHugging Face06chenyangh /deepseek_R1_0528_mathThe dataset is sourced from https://huggingface.co/datasets/a-m-team/AM-DeepSeek-R1-0528-Distilled, with math-related samples filtered out based on the model's confidence (lowest ppl). tabular100K<n<1M0 likes67 downloads9mo agoHugging Face07Learning-from-Peers /DeepSeek-R1-Distill-Qwen-32B-LeaPPaper: Learning from Peers in Reasoning Models Project Page: https://learning-from-peers.github.io/ Code: https://github.com/tongxuluo/LeaP textquestion-answering1K<n<10K1 likes59 downloads1y agoHugging Face08codelion /DeepSeek-R1-Distill-Qwen-1.5B-pts-thought-anchors PTS Thought Anchors Dataset A dataset of thought anchors - critical reasoning steps - identified using the Thought Anchors technique from the PTS tool. Details Source: Generated using the PTS tool Model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B Tags: pts, thought-anchors, reasoning, llm-analysis Dataset Structure This dataset contains thought anchors identified from reasoning traces. Each anchor represents a sentence that significantly impacts the success… See the full description on the dataset page: https://huggingface.co/datasets/codelion/DeepSeek-R1-Distill-Qwen-1.5B-pts-thought-anchors.tabularothern<1K2 likes58 downloads1y agoHugging Face09SuperbEmphasis /Deepseek-R1-ERP-DatasetgatedDataset ERP dataset generated from deepseek R1. This was a bit intensive. I write a python scrip that would generate a random plot, the ERP theme of which was chosing at random from about 20 different types of themes (One of the more tame ones, for example, "Romance Erotica"). I would then guide the inference by using the "user" role to switch perspectives between the two characters, and continue the story. I then wrote another script that used deepseek-cat to fix the reasoning portions.… See the full description on the dataset page: https://huggingface.co/datasets/SuperbEmphasis/Deepseek-R1-ERP-Dataset.text1K<n<10K3 likes42 downloads1y agoHugging Face10SuperbEmphasis /Deepseek-R1-Reasoning-ERP-Limiter-TestgatedThis is an experiment. For RP, sometimes the thinking that Deepseek and others do are a bit much. Since I Now have a rather large (ish) deepseek R1 dataset. I made a python script to count the number of words from the reasoning, round up to the nearest 50 (So if the number was 416, this would be set to 450), and then add some text in the system prompt and the reasoning. My goal is to easily, via a system prompt, be able to control the size/amount of tokens from thinking. text1K<n<10K1 likes37 downloads1y agoHugging Face11jinliuxi /deepseek_r1_zh 完全从dolphin-r1正则化清洗出的r1中文对话数据集，完全由r1-671b模型生成的高质量数据集，可以用于中文模型微调蒸馏。 text10K<n<100K4 likes35 downloads2y agoHugging Face12prefixsliding /DeepSeek-R1-Distill-Qwen-1.5-difficultytext100K<n<1M0 likes35 downloads1y agoHugging Face13Enids /DeepSeek-R1-distill-mathtext10K<n<100K0 likes28 downloads2y agoHugging Face14fimbulvntr /deepseek-r1-traces-no-cjkBased on cognitivecomputations/dolphin-r1, but with all samples containing CJK stripped out I used the following RegExp to detect CJK: /[\u4E00-\u9FFF\u3040-\u30FF\uAC00-\uD7AF]/ and ran it on messages, reasoning and answer text100K<n<1M0 likes27 downloads2y agoHugging Face15jamescalam /deepseek-r1-paper-chunkedtabularn<1K0 likes27 downloads1y agoHugging Face16teetone /deepseek_r1_distill_llama_8b_openthoughts4_code9K_instill_n8_valredundancy5_round1text1K<n<10K0 likes26 downloads2mo agoHugging Face17alamios /DeepSeek-R1-Distill-Qwen-32B-ConversationsRaw responses generated by DeepSeek-R1-Distill-Qwen-32B text1K<n<10K1 likes24 downloads2y agoHugging Face18gauravjain14 /open-thoughts-deepseekr1textn<1K0 likes20 downloads2y agoHugging Face19Proactive-Interactive-R1 /DeepSeek-R1-Distill-Data-5ktabularquestion-answering1K<n<10K0 likes16 downloads8mo agoHugging Face20od2961 /deepseek-r1-xwords-t1 deepseek-r1-xwords-t1 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: Xwords Model: DeepSeek-R1 Target temperature label: 1 Rows in data.jsonl: 1040 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-xword-azure-temp1/step0000_test.jsonl Notes: Full G=8 traces from local artifact root. Rows are uploaded as raw JSONL records from the local analysis artifacts. tabular1K<n<10K0 likes16 downloads5mo agoHugging Face21astorlui77 /DeepSeek-R1-7B-MathPhysics-V5-evaltextn<1K0 likes16 downloads1mo agoHugging Face22od2961 /deepseek-r1-xwords-t07 deepseek-r1-xwords-t07 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: Xwords Model: DeepSeek-R1 Target temperature label: 0.7 Rows in data.jsonl: 1040 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-xword-azure-temp07/step0000_test.jsonl Notes: Full G=8 traces from local artifact root. Rows are uploaded as raw JSONL records from the local analysis artifacts. tabular1K<n<10K0 likes15 downloads5mo agoHugging Face23FradSer /DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4-without-Think DeepSeek R1 满血蒸馏英中翻译数据集 Alpaca GPT-4（无 CoT 版本） 本数据集是 @FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k 的 Alpaca GPT-4 简化版本，专门用于微调语言模型的英中翻译任务。主要区别在于移除了原数据集中的思考过程（Chain of Thought，CoT），采用标准的指令微调格式，更适合直接用于 SFT（Supervised Fine-tuning）训练。 本项目主要基于以下工具完成数据处理和生成： llm-tools: 用于大语言模型数据处理的工具集合 数据集概览 关键统计 总样本数：38,981 数据集结构 字段说明 features: - name: instruction # 待翻译的英文文本 dtype: string - name: input #… See the full description on the dataset page: https://huggingface.co/datasets/FradSer/DeepSeek-R1-Distilled-Translate-en-zh_CN-39k-Alpaca-GPT4-without-Think.texttext-generation10K<n<100K4 likes14 downloads2y agoHugging Face24od2961 /deepseek-r1-xwords-t0 deepseek-r1-xwords-t0 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: Xwords Model: DeepSeek-R1 Target temperature label: 0 Rows in data.jsonl: 1040 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-xword-azure/step0000_test.jsonl Notes: Full G=8 traces from local artifact root. Rows are uploaded as raw JSONL records from the local analysis artifacts. tabular1K<n<10K0 likes14 downloads5mo agoHugging Face25yangjianhua /DeepSeek-R1-Radar-COT-datasettextn<1K0 likes13 downloads1y agoHugging Face26od2961 /deepseek-r1-rhour-t0 deepseek-r1-rhour-t0 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: RHour Model: DeepSeek-R1 Target temperature label: 0 Rows in data.jsonl: 4000 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-carpark-azure-500x8/step0000_test.jsonl Notes: Full local artifact root. This root contains mixed in-file temperature values (0, 0.05, 0.3, 0.7, 1.0). Rows are uploaded as raw JSONL records from the… See the full description on the dataset page: https://huggingface.co/datasets/od2961/deepseek-r1-rhour-t0.tabular1K<n<10K0 likes13 downloads5mo agoHugging Face27od2961 /deepseek-r1-math500-t03 deepseek-r1-math500-t03 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: MATH-500 Model: DeepSeek-R1 Target temperature label: 0.3 Rows in data.jsonl: 4000 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-openrouter-temp03/step0000_test.jsonl Notes: Full G=8 traces from local artifact root. Rows are uploaded as raw JSONL records from the local analysis artifacts. tabular1K<n<10K0 likes11 downloads5mo agoHugging Face28od2961 /deepseek-r1-math500-t0 deepseek-r1-math500-t0 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: MATH-500 Model: DeepSeek-R1 Target temperature label: 0 Rows in data.jsonl: 4000 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-openrouter/step0000_test.jsonl Notes: Full local artifact root. This root contains a small number of records tagged with temperature=0.05 in-file. Rows are uploaded as raw JSONL records from… See the full description on the dataset page: https://huggingface.co/datasets/od2961/deepseek-r1-math500-t0.tabular1K<n<10K0 likes10 downloads5mo agoHugging Face29od2961 /deepseek-r1-math500-t1 deepseek-r1-math500-t1 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: MATH-500 Model: DeepSeek-R1 Target temperature label: 1 Rows in data.jsonl: 4000 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-openrouter-temp1/step0000_test.jsonl Notes: Full G=8 traces from local artifact root. Rows are uploaded as raw JSONL records from the local analysis artifacts. tabular1K<n<10K0 likes10 downloads5mo agoHugging Face30od2961 /deepseek-r1-xwords-t03 deepseek-r1-xwords-t03 This dataset repo contains external-model traces used in the Illusion-of-Reasoning analysis. Domain: Xwords Model: DeepSeek-R1 Target temperature label: 0.3 Rows in data.jsonl: 1040 Source artifact: /n/fs/similarity/Illusion-of-Reasoning/artifacts/results/deepseek-r1-xword-azure-temp03/step0000_test.jsonl Notes: Full G=8 traces from local artifact root. Rows are uploaded as raw JSONL records from the local analysis artifacts. tabular1K<n<10K0 likes10 downloads5mo agoHugging Face

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