Comparison
awesome-llm-human-preference-datasets vs stanford_alpaca
Verdict
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; pick stanford_alpaca if resources for fine-tuning an instruction-following LLaMA model by Stanford University.
Markdown twin · awesome-llm-human-preference-datasets alternatives · stanford_alpaca alternatives
GraphCanon updated 2w
awesome-llm-human-preference-datasets
glgh/awesome-llm-human-preference-datasets
★ 390pushed Oct 4, 2023
Trust & integrity
| Signal | awesome-llm-human-preference-datasets | stanford_alpaca |
|---|---|---|
| Maintenance | Dormant (1036d since push) As of 2w · github_public_v1 | Dormant (745d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- awesome-llm-human-preference-datasets
- Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval
- stanford_alpaca
- Code and documentation to train Stanford's Alpaca models
Stars
- awesome-llm-human-preference-datasets
- 390
- stanford_alpaca
- 30k
Forks
- awesome-llm-human-preference-datasets
- 19
- stanford_alpaca
- 4.0k
Open issues
- awesome-llm-human-preference-datasets
- 0
- stanford_alpaca
- 187
Language
- awesome-llm-human-preference-datasets
- -
- stanford_alpaca
- Python
Adopt for
- 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
- stanford_alpaca
- Resources for fine-tuning an instruction-following LLaMA model by Stanford University.
Persona
- awesome-llm-human-preference-datasets
- -
- stanford_alpaca
- -
Runtime
- awesome-llm-human-preference-datasets
- -
- stanford_alpaca
- -
License
- awesome-llm-human-preference-datasets
- MIT
- stanford_alpaca
- Apache-2.0
Last pushed
- awesome-llm-human-preference-datasets
- Oct 4, 2023
- stanford_alpaca
- Jul 17, 2024
Categories
- awesome-llm-human-preference-datasets
- Evaluation & Observability, Model Training
- stanford_alpaca
- Model Training
Trust and health
Days since push
- awesome-llm-human-preference-datasets
- 1036d
- stanford_alpaca
- 745d
Open issues (now)
- awesome-llm-human-preference-datasets
- 0
- stanford_alpaca
- 187
Owner type
- awesome-llm-human-preference-datasets
- User
- stanford_alpaca
- Organization
OSV dependency advisories
- awesome-llm-human-preference-datasets
- No lockfile (source not queried)
- stanford_alpaca
- Published findings
Full report
- awesome-llm-human-preference-datasets
- Trust report
- stanford_alpaca
- Trust report
Choose awesome-llm-human-preference-datasets if…
- License: awesome-llm-human-preference-datasets is MIT, stanford_alpaca is Apache-2.0.
- Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences.
- Also covers Evaluation & Observability.
- 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。
When NOT to use awesome-llm-human-preference-datasets
- NLP，LLM、，。
Choose stanford_alpaca if…
- License: stanford_alpaca is Apache-2.0, awesome-llm-human-preference-datasets is MIT.
- Tags unique to stanford_alpaca: deep-learning, instruction-following, language-model.
- When you are conducting academic research on language models and need to experiment with an instruction-following model like Alpaca.
When NOT to use stanford_alpaca
- For commercial applications, as the license restricts usage to research purposes only and prohibits use for non-academic projects.
- If you need a model that has been fine-tuned specifically for safety and ethical considerations, since the current version of Alpaca is still in development without these specific refinements.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (glgh/awesome-llm-human-preference-datasets) · observed Aug 6, 2026
- GitHub forks (glgh/awesome-llm-human-preference-datasets) · observed Aug 6, 2026
- Last push (glgh/awesome-llm-human-preference-datasets) · observed Oct 4, 2023
- License file (MIT) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tatsu-lab/stanford_alpaca) · observed Aug 1, 2026
- GitHub forks (tatsu-lab/stanford_alpaca) · observed Aug 1, 2026
- Last push (tatsu-lab/stanford_alpaca) · observed Jul 17, 2024
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-human-preference-datasets 390 · stanford_alpaca 30k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-llm-human-preference-datasets and stanford_alpaca?
- awesome-llm-human-preference-datasets: Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval. stanford_alpaca: Code and documentation to train Stanford's Alpaca models. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-human-preference-datasets over stanford_alpaca?
- Choose awesome-llm-human-preference-datasets over stanford_alpaca when License: awesome-llm-human-preference-datasets is MIT, stanford_alpaca is Apache-2.0; Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences; Also covers Evaluation & Observability; 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。.
- When should I choose stanford_alpaca over awesome-llm-human-preference-datasets?
- Choose stanford_alpaca over awesome-llm-human-preference-datasets when License: stanford_alpaca is Apache-2.0, awesome-llm-human-preference-datasets is MIT; Tags unique to stanford_alpaca: deep-learning, instruction-following, language-model; When you are conducting academic research on language models and need to experiment with an instruction-following model like Alpaca.
- When should I avoid awesome-llm-human-preference-datasets?
- NLP，LLM、，。
- When should I avoid stanford_alpaca?
- For commercial applications, as the license restricts usage to research purposes only and prohibits use for non-academic projects. If you need a model that has been fine-tuned specifically for safety and ethical considerations, since the current version of Alpaca is still in development without these specific refinements.
- Is awesome-llm-human-preference-datasets or stanford_alpaca more popular on GitHub?
- stanford_alpaca has more GitHub stars (30,244 vs 390). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-human-preference-datasets and stanford_alpaca open source?
- Yes - both are open-source projects on GitHub (awesome-llm-human-preference-datasets: MIT, stanford_alpaca: Apache-2.0).
- Where can I find alternatives to awesome-llm-human-preference-datasets or stanford_alpaca?
- GraphCanon lists graph-backed alternatives at awesome-llm-human-preference-datasets alternatives and stanford_alpaca alternatives (awesome-llm-human-preference-datasets markdown twin, stanford_alpaca 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, awesome-llm-human-preference-datasets or stanford_alpaca?
- awesome-llm-human-preference-datasets: Dormant. stanford_alpaca: 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 awesome-llm-human-preference-datasets and stanford_alpaca?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-human-preference-datasets trust report; stanford_alpaca trust report.