---
title: "awesome-llm-human-preference-datasets vs Awesome-LLM-in-Social-Science"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/glgh-awesome-llm-human-preference-datasets-vs-valuebyte-ai-awesome-llm-in-social-science"
tools: ["glgh-awesome-llm-human-preference-datasets", "valuebyte-ai-awesome-llm-in-social-science"]
---

# awesome-llm-human-preference-datasets vs Awesome-LLM-in-Social-Science

*GraphCanon updated Aug 6, 2026*

## 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 Awesome-LLM-in-Social-Science if curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.

[awesome-llm-human-preference-datasets](https://github.com/glgh/awesome-llm-human-preference-datasets) reports 390 GitHub stars, 19 forks, and 0 open issues, last pushed Oct 4, 2023. [Awesome-LLM-in-Social-Science](https://github.com/ValueByte-AI/Awesome-LLM-in-Social-Science) has 639 stars, 48 forks, and 0 open issues, last pushed Jun 8, 2026. Figures are from public GitHub metadata via [awesome-llm-human-preference-datasets's repository](https://github.com/glgh/awesome-llm-human-preference-datasets) and [Awesome-LLM-in-Social-Science's repository](https://github.com/ValueByte-AI/Awesome-LLM-in-Social-Science).

| | [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) | [Awesome-LLM-in-Social-Science](/tools/valuebyte-ai-awesome-llm-in-social-science.md) |
| --- | --- | --- |
| Tagline | Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval | Awesome papers involving LLMs in Social Science |
| Stars | 390 | 639 |
| Forks | 19 | 48 |
| Open issues | 0 | 0 |
| Language | - | - |
| 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 | Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more. |
| 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._

| | [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) | [Awesome-LLM-in-Social-Science](/tools/valuebyte-ai-awesome-llm-in-social-science.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 1036d | 49d |
| Owner type | User | Organization |
| Full report | [trust report](/tools/glgh-awesome-llm-human-preference-datasets/trust.md) | [trust report](/tools/valuebyte-ai-awesome-llm-in-social-science/trust.md) |

## 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

## Decision facts: Awesome-LLM-in-Social-Science

- **Adopt for:** Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.

## Choose when

### 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。

### Choose Awesome-LLM-in-Social-Science if…

- Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, llm-agent.
- Need to explore academic insights into LLM impacts on specific social areas
- More GitHub stars (639 vs 390) - visibility, not fit.

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

- NLP，LLM、，。

## When NOT to use Awesome-LLM-in-Social-Science

- Looking for a hands-on coding or practical implementation guide of LLMs
- In need of real-time data analysis tools for immediate social science research outcomes

## Common questions

### What is the difference between awesome-llm-human-preference-datasets and Awesome-LLM-in-Social-Science?

awesome-llm-human-preference-datasets: Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval. Awesome-LLM-in-Social-Science: Awesome papers involving LLMs in Social Science. See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-llm-human-preference-datasets over Awesome-LLM-in-Social-Science?

Choose awesome-llm-human-preference-datasets over Awesome-LLM-in-Social-Science 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。.

### When should I choose Awesome-LLM-in-Social-Science over awesome-llm-human-preference-datasets?

Choose Awesome-LLM-in-Social-Science over awesome-llm-human-preference-datasets when Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, llm-agent; Need to explore academic insights into LLM impacts on specific social areas; More GitHub stars (639 vs 390) - visibility, not fit.

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

NLP，LLM、，。

### When should I avoid Awesome-LLM-in-Social-Science?

Looking for a hands-on coding or practical implementation guide of LLMs In need of real-time data analysis tools for immediate social science research outcomes

### Is awesome-llm-human-preference-datasets or Awesome-LLM-in-Social-Science more popular on GitHub?

Awesome-LLM-in-Social-Science has more GitHub stars (639 vs 390). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-llm-human-preference-datasets and Awesome-LLM-in-Social-Science open source?

Yes - both are open-source projects on GitHub (awesome-llm-human-preference-datasets: MIT, Awesome-LLM-in-Social-Science: MIT).

### Where can I find alternatives to awesome-llm-human-preference-datasets or Awesome-LLM-in-Social-Science?

GraphCanon lists graph-backed alternatives at [awesome-llm-human-preference-datasets alternatives](/tools/glgh-awesome-llm-human-preference-datasets/alternatives) and [Awesome-LLM-in-Social-Science alternatives](/tools/valuebyte-ai-awesome-llm-in-social-science/alternatives) ([awesome-llm-human-preference-datasets markdown twin](/tools/glgh-awesome-llm-human-preference-datasets/alternatives.md), [Awesome-LLM-in-Social-Science markdown twin](/tools/valuebyte-ai-awesome-llm-in-social-science/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/glgh-awesome-llm-human-preference-datasets-vs-valuebyte-ai-awesome-llm-in-social-science.md) 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 Awesome-LLM-in-Social-Science?

awesome-llm-human-preference-datasets: Dormant. Awesome-LLM-in-Social-Science: Steady. 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 Awesome-LLM-in-Social-Science?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-human-preference-datasets trust report](/tools/glgh-awesome-llm-human-preference-datasets/trust); [Awesome-LLM-in-Social-Science trust report](/tools/valuebyte-ai-awesome-llm-in-social-science/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=glgh-awesome-llm-human-preference-datasets`](/api/graphcanon/graph?tool=glgh-awesome-llm-human-preference-datasets)
- 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/_