QMSum
Benchmark metadata from benchwiki — this page mirrors their record so scores can be joined to it. The original is canonical.
What it measures
Query-focused meeting summarization over long transcripts from academic, product, and committee meetings.
- Primary metric
- ROUGE over query-focused summaries
- Judge model
- not judged by a model
- Human baseline
- not reportedThe dataset is human-annotated, but no single protocol-comparable human generation score is recorded here.
- Languages
- English
Health
ROUGE is sensitive to wording and reference-summary coverage; small score gaps should not be over-read without human inspection. The visual graph on this page deliberately plots only the official QMSum paper / repository Table 3 ROUGE-1 (R-1) scores. It does not plot R-2 or R-L.
- Status evidence
- QMSum is still useful as a query-focused summarization component, but the public static 2021 standalone task is now mainly a subtask inside SCROLLS, ZeroSCROLLS, and LongBench-style suites.
- Saturated since
- not saturated
- Refresh cycle
- static
- Test set public
- yes
The dataset is public and static, and its meeting transcripts are distributed in the official repository.
Models scored on this benchmark
The reverse lookup, which is this site’s addition: every model here with a score on this benchmark. Independent measurements and vendor-reported numbers are kept apart rather than interleaved, because they are different claims.
No model on this site has a score on this benchmark yet. That usually means the models that were measured on it are not in the registry, rather than that nobody has run it.
Trajectory
Where results are tracked
Leaderboards benchwiki lists for this benchmark. These are links out, not sources this site ingests — no score below comes from any of them.
- Official QMSum repositoryofficial
Source
This record is maintained by benchwiki and mirrored here. Read the original. Upstream last updated 2021-04-13; fetched 2026-10-19 by this site.