Comparison
awesome-llm-human-preference-datasets vs BIG-bench
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 BIG-bench if decision-critical facts for BIG-bench.
Markdown twin · awesome-llm-human-preference-datasets alternatives · BIG-bench 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 | BIG-bench |
|---|---|---|
| Maintenance | Dormant (1036d since push) As of 2w · github_public_v1 | Archived (748d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- BIG-bench
- Collaborative benchmark for language model capabilities
Stars
- awesome-llm-human-preference-datasets
- 390
- BIG-bench
- 3.2k
Forks
- awesome-llm-human-preference-datasets
- 19
- BIG-bench
- 617
Open issues
- awesome-llm-human-preference-datasets
- 0
- BIG-bench
- 106
Language
- awesome-llm-human-preference-datasets
- -
- BIG-bench
- 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
- BIG-bench
- Decision-critical facts for BIG-bench
Persona
- awesome-llm-human-preference-datasets
- -
- BIG-bench
- -
Runtime
- awesome-llm-human-preference-datasets
- -
- BIG-bench
- -
License
- awesome-llm-human-preference-datasets
- MIT
- BIG-bench
- Apache-2.0
Last pushed
- awesome-llm-human-preference-datasets
- Oct 4, 2023
- BIG-bench
- Jul 19, 2024
Categories
- awesome-llm-human-preference-datasets
- Evaluation & Observability, Model Training
- BIG-bench
- Evaluation & Observability
Trust and health
Maintenance
- awesome-llm-human-preference-datasets
- Dormant (18%)
- BIG-bench
- Archived (8%)
Days since push
- awesome-llm-human-preference-datasets
- 1036d
- BIG-bench
- 748d
Archived on GitHub
- awesome-llm-human-preference-datasets
- No
- BIG-bench
- Yes
Open issues (now)
- awesome-llm-human-preference-datasets
- 0
- BIG-bench
- 106
Owner type
- awesome-llm-human-preference-datasets
- User
- BIG-bench
- Organization
OSV dependency advisories
- awesome-llm-human-preference-datasets
- No lockfile (source not queried)
- BIG-bench
- Published findings
Full report
- awesome-llm-human-preference-datasets
- Trust report
- BIG-bench
- Trust report
Choose awesome-llm-human-preference-datasets if…
- License: awesome-llm-human-preference-datasets is MIT, BIG-bench is Apache-2.0.
- Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences.
- Also covers Model Training.
- 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 BIG-bench if…
- License: BIG-bench is Apache-2.0, awesome-llm-human-preference-datasets is MIT.
- Requirements: Python 3.5-3.8 required.; `pytest` is necessary for running automated tests..
- Tags unique to BIG-bench: benchmarking, evaluation, language-models, seqio.
- When you need a comprehensive benchmark that evaluates language models across various tasks and includes methods for extrapolating model capabilities.
When NOT to use BIG-bench
- If you are looking for a tool that simplifies benchmarking with minimal configuration, BIG-bench requires setting up an environment and can be more complex compared to streamlined benchmark tools.
- As BIG-bench relies on collaboration across various tasks and contributions from the community, it might not be ideal if you need benchmark tasks or evaluations immediately available without potential
- If your project does not require advanced extrapolation techniques for measuring model capabilities over a wide range of benchmarks, simpler evaluation tools may suffice.
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 (google/BIG-bench) · observed Aug 6, 2026
- GitHub forks (google/BIG-bench) · observed Aug 6, 2026
- Last push (google/BIG-bench) · observed Jul 19, 2024
- License file (Apache-2.0) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-llm-human-preference-datasets 390 · BIG-bench 3.2k (synced Aug 6, 2026).
Common questions
- What is the difference between awesome-llm-human-preference-datasets and BIG-bench?
- awesome-llm-human-preference-datasets: Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval. BIG-bench: Collaborative benchmark for language model capabilities. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-llm-human-preference-datasets over BIG-bench?
- Choose awesome-llm-human-preference-datasets over BIG-bench when License: awesome-llm-human-preference-datasets is MIT, BIG-bench is Apache-2.0; Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences; Also covers Model Training; 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 BIG-bench over awesome-llm-human-preference-datasets?
- Choose BIG-bench over awesome-llm-human-preference-datasets when License: BIG-bench is Apache-2.0, awesome-llm-human-preference-datasets is MIT; Requirements: Python 3.5-3.8 required.;
pytestis necessary for running automated tests.; Tags unique to BIG-bench: benchmarking, evaluation, language-models, seqio; When you need a comprehensive benchmark that evaluates language models across various tasks and includes methods for extrapolating model capabilities. - When should I avoid awesome-llm-human-preference-datasets?
- NLP，LLM、，。
- When should I avoid BIG-bench?
- If you are looking for a tool that simplifies benchmarking with minimal configuration, BIG-bench requires setting up an environment and can be more complex compared to streamlined benchmark tools. As BIG-bench relies on collaboration across various tasks and contributions from the community, it might not be ideal if you need benchmark tasks or evaluations immediately available without potential If your project does not require advanced extrapolation techniques for measuring model capabilities over a wide range of benchmarks, simpler evaluation tools may suffice.
- Is awesome-llm-human-preference-datasets or BIG-bench more popular on GitHub?
- BIG-bench has more GitHub stars (3,249 vs 390). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-llm-human-preference-datasets and BIG-bench open source?
- Yes - both are open-source projects on GitHub (awesome-llm-human-preference-datasets: MIT, BIG-bench: Apache-2.0).
- Where can I find alternatives to awesome-llm-human-preference-datasets or BIG-bench?
- GraphCanon lists graph-backed alternatives at awesome-llm-human-preference-datasets alternatives and BIG-bench alternatives (awesome-llm-human-preference-datasets markdown twin, BIG-bench 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 BIG-bench?
- awesome-llm-human-preference-datasets: Dormant. BIG-bench: Archived. 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 BIG-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-llm-human-preference-datasets trust report; BIG-bench trust report.