---
title: "multilingual-safety-for-LLMs vs awesome-llm-human-preference-datasets"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/damo-nlp-sg-multilingual-safety-for-llms-vs-glgh-awesome-llm-human-preference-datasets"
tools: ["damo-nlp-sg-multilingual-safety-for-llms", "glgh-awesome-llm-human-preference-datasets"]
---

# multilingual-safety-for-LLMs vs awesome-llm-human-preference-datasets

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick multilingual-safety-for-LLMs if data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability; pick awesome-llm-human-preference-datasets if awesome-llm-human-preference-datasets is an open-source repository that curates a collection of human preference datasets for fine-tuning large language models (LLMs), with a focus on reinforcement learning with human反馈被.

[multilingual-safety-for-LLMs](https://github.com/DAMO-NLP-SG/multilingual-safety-for-LLMs) reports 107 GitHub stars, 8 forks, and 0 open issues, last pushed Mar 7, 2024. [awesome-llm-human-preference-datasets](https://github.com/glgh/awesome-llm-human-preference-datasets) has 390 stars, 19 forks, and 0 open issues, last pushed Oct 4, 2023. Figures are from public GitHub metadata via [multilingual-safety-for-LLMs's repository](https://github.com/DAMO-NLP-SG/multilingual-safety-for-LLMs) and [awesome-llm-human-preference-datasets's repository](https://github.com/glgh/awesome-llm-human-preference-datasets).

| | [multilingual-safety-for-LLMs](/tools/damo-nlp-sg-multilingual-safety-for-llms.md) | [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) |
| --- | --- | --- |
| Tagline | Data for Multilingual Jailbreak Challenges in Large Language Models | Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval |
| Stars | 107 | 390 |
| Forks | 8 | 19 |
| Open issues | 0 | 0 |
| Language | - | - |
| Adopt for | Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability. | awesome-llm-human-preference-datasets is an open-source repository that curates a collection of human preference datasets for fine-tuning large language models (LLMs), with a focus on reinforcement learning with human反馈被 |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Evaluation & Observability, Model Training | Evaluation & Observability, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [multilingual-safety-for-LLMs](/tools/damo-nlp-sg-multilingual-safety-for-llms.md) | [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) |
| --- | --- | --- |
| Days since push | 880d | 1036d |
| Owner type | Organization | User |
| Full report | [trust report](/tools/damo-nlp-sg-multilingual-safety-for-llms/trust.md) | [trust report](/tools/glgh-awesome-llm-human-preference-datasets/trust.md) |

## Shared compatibility

- **ChatGPT**: [multilingual-safety-for-LLMs](/tools/damo-nlp-sg-multilingual-safety-for-llms.md) - Works with ChatGPT; [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) - Works with ChatGPT

## Decision facts: multilingual-safety-for-LLMs

- **Adopt for:** Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.

## Decision facts: awesome-llm-human-preference-datasets

- **Adopt for:** awesome-llm-human-preference-datasets is an open-source repository that curates a collection of human preference datasets for fine-tuning large language models (LLMs), with a focus on reinforcement learning with human反馈被

## Choose when

### Choose multilingual-safety-for-LLMs if…

- Tags unique to multilingual-safety-for-LLMs: jailbreak, multilingual, safety.
- When evaluating the robustness of large language models against malicious prompts in multiple languages.
- More recently updated (last pushed Mar 7, 2024).

### Choose awesome-llm-human-preference-datasets if…

- Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences.
- 当你需要对大型语言模型（LLM）进行微调，并希望使用经过人类评估的数据集来增强模型性能，尤其是在强化学习场景中时。
- More GitHub stars (390 vs 107) - visibility, not fit.

## When NOT to use multilingual-safety-for-LLMs

- If solely focused on English-language security analysis, as this dataset emphasizes non-English prompts.
- When the target audience for your LLM is limited to high-resource language speakers only.

## When NOT to use awesome-llm-human-preference-datasets

- NLP，LLM、，。

## Common questions

### What is the difference between multilingual-safety-for-LLMs and awesome-llm-human-preference-datasets?

multilingual-safety-for-LLMs: Data for Multilingual Jailbreak Challenges in Large Language Models. awesome-llm-human-preference-datasets: Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval. See the comparison table for live GitHub stats and shared categories.

### When should I choose multilingual-safety-for-LLMs over awesome-llm-human-preference-datasets?

Choose multilingual-safety-for-LLMs over awesome-llm-human-preference-datasets when Tags unique to multilingual-safety-for-LLMs: jailbreak, multilingual, safety; When evaluating the robustness of large language models against malicious prompts in multiple languages; More recently updated (last pushed Mar 7, 2024).

### When should I choose awesome-llm-human-preference-datasets over multilingual-safety-for-LLMs?

Choose awesome-llm-human-preference-datasets over multilingual-safety-for-LLMs when Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences; 当你需要对大型语言模型（LLM）进行微调，并希望使用经过人类评估的数据集来增强模型性能，尤其是在强化学习场景中时。; More GitHub stars (390 vs 107) - visibility, not fit.

### When should I avoid multilingual-safety-for-LLMs?

If solely focused on English-language security analysis, as this dataset emphasizes non-English prompts. When the target audience for your LLM is limited to high-resource language speakers only.

### When should I avoid awesome-llm-human-preference-datasets?

NLP，LLM、，。

### Is multilingual-safety-for-LLMs or awesome-llm-human-preference-datasets more popular on GitHub?

awesome-llm-human-preference-datasets has more GitHub stars (390 vs 107). Stars measure visibility, not whether either tool fits your constraints.

### Are multilingual-safety-for-LLMs and awesome-llm-human-preference-datasets open source?

Yes - both are open-source projects on GitHub (multilingual-safety-for-LLMs: MIT, awesome-llm-human-preference-datasets: MIT).

### Where can I find alternatives to multilingual-safety-for-LLMs or awesome-llm-human-preference-datasets?

GraphCanon lists graph-backed alternatives at [multilingual-safety-for-LLMs alternatives](/tools/damo-nlp-sg-multilingual-safety-for-llms/alternatives) and [awesome-llm-human-preference-datasets alternatives](/tools/glgh-awesome-llm-human-preference-datasets/alternatives) ([multilingual-safety-for-LLMs markdown twin](/tools/damo-nlp-sg-multilingual-safety-for-llms/alternatives.md), [awesome-llm-human-preference-datasets markdown twin](/tools/glgh-awesome-llm-human-preference-datasets/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/damo-nlp-sg-multilingual-safety-for-llms-vs-glgh-awesome-llm-human-preference-datasets.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, multilingual-safety-for-LLMs or awesome-llm-human-preference-datasets?

multilingual-safety-for-LLMs: Dormant. awesome-llm-human-preference-datasets: 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 multilingual-safety-for-LLMs and awesome-llm-human-preference-datasets?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [multilingual-safety-for-LLMs trust report](/tools/damo-nlp-sg-multilingual-safety-for-llms/trust); [awesome-llm-human-preference-datasets trust report](/tools/glgh-awesome-llm-human-preference-datasets/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=damo-nlp-sg-multilingual-safety-for-llms`](/api/graphcanon/graph?tool=damo-nlp-sg-multilingual-safety-for-llms)
- 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/_