summarization benchmark
SummScreenFD
SummScreenFD is the ForeverDreaming subset of the SummScreen dataset for abstractive screenplay summarization, comprising pairs of TV series transcripts and human-written recaps from 88 different shows. The dataset provides a challenging testbed for abstractive summarization where plot details are often expressed indirectly in character dialogues and scattered across the entirety of the transcript, requiring models to find and integrate these details to form succinct plot descriptions.
Updated Aug 7, 2026
Published models2
Registry coverage2
MetricScore
EvidenceB
SummScreenFD leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | MI | 16.9% | 100.0% | 2 | C | |
| 2 | MI | 16.0% | 0.0% | 2 | C |
Score distribution
Top published rows on the benchmark's original scale.
SummScreenFD highlights
The top published results on this benchmark's own scale.
What is SummScreenFD?
Definition and scoring fields from the benchmark registry.
SummScreenFD is the ForeverDreaming subset of the SummScreen dataset for abstractive screenplay summarization, comprising pairs of TV series transcripts and human-written recaps from 88 different shows. The dataset provides a challenging testbed for abstractive summarization where plot details are often expressed indirectly in character dialogues and scattered across the entirety of the transcript, requiring models to find and integrate these details to form succinct plot descriptions.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- SummScreenFD
- Modality
- text
- Primary category
- summarization
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- summscreenfd|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about SummScreenFD.
Which model scores highest on SummScreenFD?
Phi-3.5-MoE-instruct is currently ranked first with 16.9%.
What does SummScreenFD measure?
SummScreenFD is the ForeverDreaming subset of the SummScreen dataset for abstractive screenplay summarization, comprising pairs of TV series transcripts and human-written recaps from 88 different shows. The dataset provides a challenging testbed for abstractive summarization where plot details are often expressed indirectly in character dialogues and scattered across the entirety of the transcript, requiring models to find and integrate these details to form succinct plot descriptions.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 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.