Home/Compare/multilingual-safety-for-LLMs vs awesome-llm-human-preference-datasets

Comparison

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

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.

Markdown twin · multilingual-safety-for-LLMs alternatives · awesome-llm-human-preference-datasets alternatives

GraphCanon updated 2w

multilingual-safety-for-LLMs logo

multilingual-safety-for-LLMs

DAMO-NLP-SG/multilingual-safety-for-LLMs

107pushed Mar 7, 2024
vs
awesome-llm-human-preference-datasets logo

awesome-llm-human-preference-datasets

glgh/awesome-llm-human-preference-datasets

390pushed Oct 4, 2023

Trust & integrity

Signalmultilingual-safety-for-LLMsawesome-llm-human-preference-datasets
Maintenance
Dormant (880d since push)
As of 2w · github_public_v1
Dormant (1036d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

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

Stars

multilingual-safety-for-LLMs
107
awesome-llm-human-preference-datasets
390

Forks

multilingual-safety-for-LLMs
8
awesome-llm-human-preference-datasets
19

Open issues

multilingual-safety-for-LLMs
0
awesome-llm-human-preference-datasets
0

Language

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

Adopt for

multilingual-safety-for-LLMs
Data for studying multilingual jailbreak safety in LLMs, including nine non-English languages categorized by resource availability.
awesome-llm-human-preference-datasets
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

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

Runtime

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

License

multilingual-safety-for-LLMs
MIT
awesome-llm-human-preference-datasets
MIT

Last pushed

multilingual-safety-for-LLMs
Mar 7, 2024
awesome-llm-human-preference-datasets
Oct 4, 2023

Categories

multilingual-safety-for-LLMs
Evaluation & Observability, Model Training
awesome-llm-human-preference-datasets
Evaluation & Observability, Model Training

Trust and health

Days since push

multilingual-safety-for-LLMs
880d
awesome-llm-human-preference-datasets
1036d

Owner type

multilingual-safety-for-LLMs
Organization
awesome-llm-human-preference-datasets
User

Full report

multilingual-safety-for-LLMs
Trust report
awesome-llm-human-preference-datasets
Trust report

Shared compatibility

  • ChatGPT · multilingual-safety-for-LLMs: Works with ChatGPT · awesome-llm-human-preference-datasets: Works with ChatGPT

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).

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.

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 awesome-llm-human-preference-datasets

  • NLP,LLM、,。

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: multilingual-safety-for-LLMs 107 · awesome-llm-human-preference-datasets 390 (synced Aug 5, 2026).

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 and awesome-llm-human-preference-datasets alternatives (multilingual-safety-for-LLMs markdown twin, awesome-llm-human-preference-datasets markdown twin), 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 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; awesome-llm-human-preference-datasets trust report.

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