SQuALITY
SQuALITY (Summarization-format QUestion Answering with Long Input Texts, Yes!) is a long-document summarization dataset built by hiring highly-qualified contractors to read public-domain short stories (3000-6000 words) and write original summaries from scratch. Each document has five summaries: one overview and four question-focused summaries. Designed to address limitations in existing summarization datasets by providing high-quality, faithful summaries.
Phi-3.5-mini-instruct from Microsoft currently leads the SQuALITY leaderboard with a score of 0.243 across 5 evaluated AI models.
Phi-3.5-mini-instruct leads with 24.3%, followed by Phi-3.5-MoE-instruct at 24.1% and 
Nova Pro at 19.8%.
Progress Over Time
Interactive timeline showing model performance evolution on SQuALITY
SQuALITY Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Microsoft | 4B | 128K | $0.10 / $0.10 | ||
| 2 | Microsoft | 60B | — | — | ||
| 3 | Amazon | — | 300K | $0.80 / $3.20 | ||
| 4 | Amazon | — | 300K | $0.06 / $0.24 | ||
| 5 | Amazon | — | 128K | $0.03 / $0.14 |
FAQ
Common questions about SQuALITY.
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