language benchmark
TLDR9+ (test)
A large-scale summarization dataset containing over 9 million training instances extracted from Reddit, designed for extreme summarization (generating one-sentence summaries with high compression and abstraction). More than twice larger than previously proposed datasets.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
TLDR9+ (test) Ranking
Higher score ranks better on this benchmark.
| 1 | ME | 19.0% | 100.0% | 1 | C |
TLDR9+ (test) Highlights
The leading models and scores on this benchmark.
What is TLDR9+ (test)?
What TLDR9+ (test) measures and how its scores work.
A large-scale summarization dataset containing over 9 million training instances extracted from Reddit, designed for extreme summarization (generating one-sentence summaries with high compression and abstraction). More than twice larger than previously proposed datasets.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- TLDR9+ (test)
- Modality
- text
- Primary category
- language
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- tldr9+-(test)|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about TLDR9+ (test).
Which model scores highest on TLDR9+ (test)?
Llama 3.2 3B Instruct is currently ranked first with 19.0%.
What does TLDR9+ (test) measure?
A large-scale summarization dataset containing over 9 million training instances extracted from Reddit, designed for extreme summarization (generating one-sentence summaries with high compression and abstraction). More than twice larger than previously proposed datasets.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.