--- title: "AlignLLMHumanSurvey vs LLMDataHub" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/garyyufei-alignllmhumansurvey-vs-zjh-819-llmdatahub" tools: ["garyyufei-alignllmhumansurvey", "zjh-819-llmdatahub"] --- # AlignLLMHumanSurvey vs LLMDataHub *GraphCanon updated Jul 12, 2026* ## Verdict Pick AlignLLMHumanSurvey if alignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价; pick LLMDataHub if lLMDataHub offers a curated repository of datasets specifically designed for training large language models, including general alignment, domain-specific, pretraining, and multimodal datasets. It aids in the improvement,. [AlignLLMHumanSurvey](https://arxiv.org/abs/2307.12966) reports 742 GitHub stars, 30 forks, and 0 open issues, last pushed Sep 11, 2023. [LLMDataHub](https://github.com/Zjh-819/LLMDataHub) has 3.4k stars, 236 forks, and 4 open issues, last pushed Nov 28, 2023. Figures are from public GitHub metadata via [AlignLLMHumanSurvey's repository](https://github.com/GaryYufei/AlignLLMHumanSurvey) and [LLMDataHub's repository](https://github.com/Zjh-819/LLMDataHub). | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [LLMDataHub](/tools/zjh-819-llmdatahub.md) | | --- | --- | --- | | Tagline | A survey on aligning large language models with human expectations | Curated Collection of Datasets for LLM Training | | Stars | 742 | 3,398 | | Forks | 30 | 236 | | Open issues | 0 | 4 | | Language | - | - | | Adopt for | AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 | LLMDataHub offers a curated repository of datasets specifically designed for training large language models, including general alignment, domain-specific, pretraining, and multimodal datasets. It aids in the improvement, | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [LLMDataHub](/tools/zjh-819-llmdatahub.md) | | --- | --- | --- | | Days since push | 1034d | 956d | | Open issues (now) | 0 | 4 | | Full report | [trust report](/tools/garyyufei-alignllmhumansurvey/trust.md) | [trust report](/tools/zjh-819-llmdatahub/trust.md) | ## Decision facts: AlignLLMHumanSurvey - **Adopt for:** AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 ## Decision facts: LLMDataHub - **Pricing:** freemium - Free access under MIT License, suitable for non-commercial use. Consult licensing terms if planning commercial usage. - **Requirements:** The repository is accessible in various languages, though the specific dataset languages are detailed individually. - **Adopt for:** LLMDataHub offers a curated repository of datasets specifically designed for training large language models, including general alignment, domain-specific, pretraining, and multimodal datasets. It aids in the improvement, ## Choose when ### Choose AlignLLMHumanSurvey if… - Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4. - Also covers Evaluation & Observability. - 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。 ### Choose LLMDataHub if… - Pricing: Free access under MIT License, suitable for non-commercial use. Consult licensing terms if planning commercial usage.. - Requirements: The repository is accessible in various languages, though the specific dataset languages are detailed individually.. - Tags unique to LLMDataHub: chatbot, dataset, instruction finetuning, llm. - - When you are looking to improve chatbot dialogue quality with specific datasets for instruction fine-tuning. ## When NOT to use AlignLLMHumanSurvey - 当您需要具体的技术实现代码或工具箱时，请勿使用AlignLLMHumanSurvey，因为它仅仅是一个汇总知识的调研文档，不提供具体的编程实现细节。 - 如果您正在寻找特定模型的性能评估数据或者准备在实际项目中直接应用某种对齐技术，则这个资源可能不会满足您的需求，因为它更侧重于理论和调查研究。 ## When NOT to use LLMDataHub - - Avoid using LLMDataHub if your project requires datasets not specifically curated for chatbot or language model training, as the focus here is on dialogue and instruction-specific data. - - Don't rely solely on this repository if you need real-time dataset curation; it may not always have the most recent or niche datasets compared to more dynamic sources. ## Common questions ### What is the difference between AlignLLMHumanSurvey and LLMDataHub? AlignLLMHumanSurvey: A survey on aligning large language models with human expectations. LLMDataHub: Curated Collection of Datasets for LLM Training. See the comparison table for live GitHub stats and shared categories. ### When should I choose AlignLLMHumanSurvey over LLMDataHub? Choose AlignLLMHumanSurvey over LLMDataHub when Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4; Also covers Evaluation & Observability; 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。. ### When should I choose LLMDataHub over AlignLLMHumanSurvey? Choose LLMDataHub over AlignLLMHumanSurvey when Pricing: Free access under MIT License, suitable for non-commercial use. Consult licensing terms if planning commercial usage.; Requirements: The repository is accessible in various languages, though the specific dataset languages are detailed individually.; Tags unique to LLMDataHub: chatbot, dataset, instruction finetuning, llm; - When you are looking to improve chatbot dialogue quality with specific datasets for instruction fine-tuning. ### When should I avoid AlignLLMHumanSurvey? 当您需要具体的技术实现代码或工具箱时，请勿使用AlignLLMHumanSurvey，因为它仅仅是一个汇总知识的调研文档，不提供具体的编程实现细节。 如果您正在寻找特定模型的性能评估数据或者准备在实际项目中直接应用某种对齐技术，则这个资源可能不会满足您的需求，因为它更侧重于理论和调查研究。 ### When should I avoid LLMDataHub? - Avoid using LLMDataHub if your project requires datasets not specifically curated for chatbot or language model training, as the focus here is on dialogue and instruction-specific data. - Don't rely solely on this repository if you need real-time dataset curation; it may not always have the most recent or niche datasets compared to more dynamic sources. ### Is AlignLLMHumanSurvey or LLMDataHub more popular on GitHub? LLMDataHub has more GitHub stars (3,398 vs 742). Stars measure visibility, not whether either tool fits your constraints. ### Are AlignLLMHumanSurvey and LLMDataHub open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to AlignLLMHumanSurvey or LLMDataHub? GraphCanon lists graph-backed alternatives at [AlignLLMHumanSurvey alternatives](/tools/garyyufei-alignllmhumansurvey/alternatives) and [LLMDataHub alternatives](/tools/zjh-819-llmdatahub/alternatives) ([AlignLLMHumanSurvey markdown twin](/tools/garyyufei-alignllmhumansurvey/alternatives.md), [LLMDataHub markdown twin](/tools/zjh-819-llmdatahub/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/garyyufei-alignllmhumansurvey-vs-zjh-819-llmdatahub.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AlignLLMHumanSurvey or LLMDataHub? AlignLLMHumanSurvey: Dormant. LLMDataHub: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for AlignLLMHumanSurvey and LLMDataHub? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AlignLLMHumanSurvey trust report](/tools/garyyufei-alignllmhumansurvey/trust); [LLMDataHub trust report](/tools/zjh-819-llmdatahub/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey`](/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_