---
title: "awesome-llm-human-preference-datasets vs awesome-RLHF"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/glgh-awesome-llm-human-preference-datasets-vs-opendilab-awesome-rlhf"
tools: ["glgh-awesome-llm-human-preference-datasets", "opendilab-awesome-rlhf"]
---

# awesome-llm-human-preference-datasets vs awesome-RLHF

*GraphCanon updated Aug 17, 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-RLHF if awesome-RLHF is a curated resource list focusing on reinforcement learning with human feedback (RLHF), which is crucial for refining large language models through interactive training methods.

[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-RLHF](https://github.com/opendilab/awesome-RLHF) has 4.4k stars, 258 forks, and 6 open issues, last pushed May 20, 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-RLHF's repository](https://github.com/opendilab/awesome-RLHF).

| | [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) | [awesome-RLHF](/tools/opendilab-awesome-rlhf.md) |
| --- | --- | --- |
| Tagline | Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval | A curated list of reinforcement learning with human feedback resources (continually updated) |
| Stars | 390 | 4,422 |
| Forks | 19 | 258 |
| Open issues | 0 | 6 |
| 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 | awesome-RLHF is a curated resource list focusing on reinforcement learning with human feedback (RLHF), which is crucial for refining large language models through interactive training methods. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| 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-RLHF](/tools/opendilab-awesome-rlhf.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 1036d | 89d |
| Open issues (now) | 0 | 6 |
| Stars delta | Unknown | +9 (30d) |
| Open issues delta | Unknown | 0 (30d) |
| Owner type | User | Organization |
| Full report | [trust report](/tools/glgh-awesome-llm-human-preference-datasets/trust.md) | [trust report](/tools/opendilab-awesome-rlhf/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-RLHF

- **Adopt for:** awesome-RLHF is a curated resource list focusing on reinforcement learning with human feedback (RLHF), which is crucial for refining large language models through interactive training methods.

## Choose when

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

- License: awesome-llm-human-preference-datasets is MIT, awesome-RLHF is Apache-2.0.
- 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-RLHF if…

- License: awesome-RLHF is Apache-2.0, awesome-llm-human-preference-datasets is MIT.
- Tags unique to awesome-RLHF: deep-learning, depth-reinforcement-learning, human-feedback, large language models.
- When you are specifically interested in the resources that pertain to enhancing reinforcement learning algorithms with human feedback for developing advanced AI systems.

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

- NLP，LLM、，。

## When NOT to use awesome-RLHF

- If your focus is exclusively on generic deep-learning or reinforcement-learning resources without the aspect of integrating human feedback into the training process.

## Common questions

### What is the difference between awesome-llm-human-preference-datasets and awesome-RLHF?

awesome-llm-human-preference-datasets: Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval. awesome-RLHF: A curated list of reinforcement learning with human feedback resources (continually updated). See the comparison table for live GitHub stats and shared categories.

### When should I choose awesome-llm-human-preference-datasets over awesome-RLHF?

Choose awesome-llm-human-preference-datasets over awesome-RLHF when License: awesome-llm-human-preference-datasets is MIT, awesome-RLHF is Apache-2.0; 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-RLHF over awesome-llm-human-preference-datasets?

Choose awesome-RLHF over awesome-llm-human-preference-datasets when License: awesome-RLHF is Apache-2.0, awesome-llm-human-preference-datasets is MIT; Tags unique to awesome-RLHF: deep-learning, depth-reinforcement-learning, human-feedback, large language models; When you are specifically interested in the resources that pertain to enhancing reinforcement learning algorithms with human feedback for developing advanced AI systems.

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

NLP，LLM、，。

### When should I avoid awesome-RLHF?

If your focus is exclusively on generic deep-learning or reinforcement-learning resources without the aspect of integrating human feedback into the training process.

### Is awesome-llm-human-preference-datasets or awesome-RLHF more popular on GitHub?

awesome-RLHF has more GitHub stars (4,422 vs 390). Stars measure visibility, not whether either tool fits your constraints.

### Are awesome-llm-human-preference-datasets and awesome-RLHF open source?

Yes - both are open-source projects on GitHub (awesome-llm-human-preference-datasets: MIT, awesome-RLHF: Apache-2.0).

### Where can I find alternatives to awesome-llm-human-preference-datasets or awesome-RLHF?

GraphCanon lists graph-backed alternatives at [awesome-llm-human-preference-datasets alternatives](/tools/glgh-awesome-llm-human-preference-datasets/alternatives) and [awesome-RLHF alternatives](/tools/opendilab-awesome-rlhf/alternatives) ([awesome-llm-human-preference-datasets markdown twin](/tools/glgh-awesome-llm-human-preference-datasets/alternatives.md), [awesome-RLHF markdown twin](/tools/opendilab-awesome-rlhf/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-opendilab-awesome-rlhf.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-RLHF?

awesome-llm-human-preference-datasets: Dormant. awesome-RLHF: 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-RLHF?

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-RLHF trust report](/tools/opendilab-awesome-rlhf/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/_