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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01r0b0tlab /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/r0b0tlab/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M265 likes5.4k downloads2mo agoHugging Face02AletheiaResearch /GLM-5.2-AgentThis dataset was generated using teich by TeichAI GLM-5.2 Agent traces This directory contains raw agent trace files generated by teich. JSONL files: 319 Model metadata: glm-5.2 Training-ready tools Generated agent traces carry configured or recovered tool schemas so tools remain available for training even when a session did not call them. Native Claude Code imports recover schemas for Claude Code and Claude Desktop built-ins, plus conservative name-derived MCP… See the full description on the dataset page: https://huggingface.co/datasets/AletheiaResearch/GLM-5.2-Agent.tabulartext-generationn<1K60 likes1.8k downloads3mo agoHugging Face03o0Biggz0o /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/o0Biggz0o/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes1.1k downloads2mo agoHugging Face04ansulev /qwen3.8-max-glm5.2-kimi-k3-distill Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/ansulev/qwen3.8-max-glm5.2-kimi-k3-distill.tabulartext-generation10M<n<100M0 likes751 downloads1mo agoHugging Face05p-research /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/p-research/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes740 downloads10d agoHugging Face06inferenceport-ai /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/inferenceport-ai/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes730 downloads11d agoHugging Face07greghavens /glm-5.2-coding-and-debugging-traces GLM 5.2 Agent Traces 207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL Generated by moonshiner — an open harness for distilling verified instruction-following, tool-use, and agentic coding traces. Behavior-preserving instruction-following, tool-use, and agent trajectories from GLM 5.2 (glm-5.2). The category and row-share tables below describe the actual mix seen during training rather than assuming a particular task domain. This is an actively growing… See the full description on the dataset page: https://huggingface.co/datasets/greghavens/glm-5.2-coding-and-debugging-traces.tabulartext-generation1K<n<10K21 likes669 downloads2mo agoHugging Face08ufrik /qwen3.8-max-glm5.2-distillation-51389 Qwen3.8-Max / GLM-5.2 Distillation — 51,389 Rows A deterministic, public Parquet release of admitted teacher traces for supervised fine-tuning, reasoning-format studies, tool-use studies, and tokenizer-specific rendering experiments. The sft configuration is the default training view. The package contains data and documentation only; it does not require executable dataset code. Credits and Attribution Dataset assembly and release packaging: r0b0tlab. Qwen-derived… See the full description on the dataset page: https://huggingface.co/datasets/ufrik/qwen3.8-max-glm5.2-distillation-51389.tabulartext-generation100K<n<1M0 likes540 downloads2mo agoHugging Face09bhadra123 /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/bhadra123/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes492 downloads1mo agoHugging Face10alliabba26 /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/alliabba26/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes442 downloads1mo agoHugging Face11Distillio /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/Distillio/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes407 downloads29d agoHugging Face12marin-community /openthoughts4-code-9168-prompts-glm-5.2-n4 OpenThoughts-4 Code — GLM-5.2 n=4 Quality-filtered synthetic responses from zai-org/GLM-5.2-FP8 for the 9,168 unique instruction_seed values in mlfoundations-dev/hero_run_4_code. Each prompt has four accepted responses, for 36,672 rows total. Generation Field Value Generator zai-org/GLM-5.2-FP8 Samples per prompt 4 Temperature 1.0 Top-p 0.95 Maximum generated tokens 256,000 Thinking mode enabled Inference engine vLLM on 8 GB200 GPUs… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/openthoughts4-code-9168-prompts-glm-5.2-n4.tabulartext-generation10K<n<100K1 likes318 downloads1mo agoHugging Face13Lalo42 /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/Lalo42/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes254 downloads1mo agoHugging Face14Crownelius /GLM-5.2-CoT-Library GLM-5.2 — CoT Library A maintained mirror of publicly-available GLM-5.2 chain-of-thought datasets on Hugging Face — content-verified, deduplicated, and attributed to their original authors. Dataset Viewer | Parquet // what this is A maintained library — a community mirror of publicly-available GLM-5.2 CoT datasets, aggregated, validity-filtered and content-verified, with per-row source attribution in first_source_dataset. It is not Crownelius' own data — every… See the full description on the dataset page: https://huggingface.co/datasets/Crownelius/GLM-5.2-CoT-Library.tabulartext-generation10K<n<100K2 likes219 downloads2mo agoHugging Face15Jinzy2025 /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/Jinzy2025/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes173 downloads1mo agoHugging Face16poppingstar /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/poppingstar/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M1 likes171 downloads2mo agoHugging Face17ArkhAngelLifeJiggy /glm-5.2-coding-and-debugging-traces GLM 5.2 Agent Traces 207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL Generated by moonshiner — an open harness for distilling verified instruction-following, tool-use, and agentic coding traces. Behavior-preserving instruction-following, tool-use, and agent trajectories from GLM 5.2 (glm-5.2). The category and row-share tables below describe the actual mix seen during training rather than assuming a particular task domain. This is an actively growing… See the full description on the dataset page: https://huggingface.co/datasets/ArkhAngelLifeJiggy/glm-5.2-coding-and-debugging-traces.tabulartext-generation1K<n<10K0 likes162 downloads2mo agoHugging Face18marin-community /glm-5.2-kernelgym-rollouts GLM-5.2 KernelGym Rollouts This dataset contains 3,200 feedback-driven GPU-kernel optimization trajectories generated by zai-org/GLM-5.2-FP8: 100 validation tasks, two backends (inline CUDA and Triton), and 16 rollouts per task. Each trajectory retains the prompt/feedback message history, model responses and reasoning, extracted kernel code, KernelGym compilation and correctness results, profiling metadata, token usage, and stopping decision. Every published record ended with… See the full description on the dataset page: https://huggingface.co/datasets/marin-community/glm-5.2-kernelgym-rollouts.tabulartext-generation1K<n<10K2 likes138 downloads2mo agoHugging Face19Helloxiaolaodi /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/Helloxiaolaodi/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes136 downloads1mo agoHugging Face2011-47 /glm-5.2-coding-and-debugging-traces GLM 5.2 Agent Traces 207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL Generated by moonshiner — an open harness for distilling verified instruction-following, tool-use, and agentic coding traces. Behavior-preserving instruction-following, tool-use, and agent trajectories from GLM 5.2 (glm-5.2). The category and row-share tables below describe the actual mix seen during training rather than assuming a particular task domain. This is an actively growing… See the full description on the dataset page: https://huggingface.co/datasets/11-47/glm-5.2-coding-and-debugging-traces.tabulartext-generation1K<n<10K0 likes112 downloads8d agoHugging Face21rashdan1 /glm-5.2-coding-and-debugging-traces GLM 5.2 Agent Traces 207 TRAJECTORIES · 1,821 TRAINING ROWS · 1 MB PARQUET · 35 MB JSONL Generated by moonshiner — an open harness for distilling verified instruction-following, tool-use, and agentic coding traces. Behavior-preserving instruction-following, tool-use, and agent trajectories from GLM 5.2 (glm-5.2). The category and row-share tables below describe the actual mix seen during training rather than assuming a particular task domain. This is an actively growing… See the full description on the dataset page: https://huggingface.co/datasets/rashdan1/glm-5.2-coding-and-debugging-traces.tabulartext-generation1K<n<10K0 likes97 downloads2mo agoHugging Face22Rajesh225 /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/Rajesh225/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes75 downloads1mo agoHugging Face23geomagnet /qwen3.8-max-glm5.2-kimi-k3-distillation Multi-Teacher Distillation Dataset (57,937 traces) A quality-filtered, deduplicated, multi-teacher SFT corpus combining traces from three frontier models across math, code, reasoning, instruction-following, tool-use, science, long-context, multilingual, and creative dialogue domains. Teachers Teacher Provider Traces Qwen3.8-Max-Preview Alibaba Cloud Model Studio 48,283 GLM-5.2 Z.AI Coding Plan 5,307 Kimi Code K3 Moonshot AI (Kimi) 4,347… See the full description on the dataset page: https://huggingface.co/datasets/geomagnet/qwen3.8-max-glm5.2-kimi-k3-distillation.tabulartext-generation10M<n<100M0 likes50 downloads1mo agoHugging Face24mkurman /synthlabs-GLM-5.2-Science GLM-5.2 Science Synth Reasoning Synthetic reasoning traces for science questions from the GLM-5.2 science dataset. Each record contains a complex scientific question with SYNTH-style reasoning and a generated answer. Dataset Summary 33,014 records (605 dupes + 726 incomplete/truncated removed from 34,345 source) 33,014 reasoning turns (99.9% format compliance) Average 3,094 chars per reasoning trace Models Used Model Records… See the full description on the dataset page: https://huggingface.co/datasets/mkurman/synthlabs-GLM-5.2-Science.tabulartext-generation10K<n<100K0 likes28 downloads2mo agoHugging Face

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