summarization 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 7, 2026
Published models1
Registry coverage1
MetricScore
EvidenceB
TLDR9+ (test) leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | ME | 19.0% | 100.0% | 1 | C |
TLDR9+ (test) highlights
The top published results on this benchmark's own scale.
What is TLDR9+ (test)?
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- TLDR9+ (test)
- Modality
- text
- Primary category
- summarization
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- tldr9+-(test)|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
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 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.