AWhat changed
Standardized English and Chinese datasets across question answering, summarization, few-shot learning, synthetic tasks and code completion to compare long-context language models.
Scientific scope
Standardized English and Chinese datasets across question answering, summarization, few-shot learning, synthetic tasks and code completion to compare long-context language models. Combines existing and newly constructed tasks; constituent dataset authorship is not transferred to the suite authors. English lengths are words and Chinese lengths are characters in the original table, not uniform tokenizer counts. Task metrics and truncation policies must remain explicit.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Combines existing and newly constructed tasks; constituent dataset authorship is not transferred to the suite authors. English lengths are words and Chinese lengths are characters in the original table, not uniform tokenizer counts. Task metrics and truncation policies must remain explicit.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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