tonychenxyz/oolong-synth-256k-plus
Oolong-Synth (256K+ context lengths) for Code-LLaVA Oolong is a challenging aggregation benchmark for long-context models that tests models' ability to analyze individual text chunks and aggregate these analyses to answer distributional questions. This dataset contains the 256K+ context lengths subset of Oolong-synth. Source Paper: Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities Original Dataset: oolongbench/oolong-synth… See the full description on the dataset page: https://huggingface.co/datasets/tonychenxyz/oolong-synth-256k-plus.
| Author / organization | tonychenxyz |
|---|---|
| License (as declared) | mit |
| Downloads | 131 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 January 2026 |
| Last updated at source | 21 January 2026 |
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- 17 Oct 2026 Description: Oolong-Synth (256K+ context lengths) for Code-LLaVA Oolong is a challenging aggregation benchmark for long-context models that tests models' ability to analyze individual text chunks and aggregate these analyses to answer distributional que → Oolong-Synth (256K+ context lengths) for Code-LLaVA Oolong is a challenging aggregation benchmark for long-context models that tests models' ability to analyze individual text chunks and aggregate these analyses to answer distributional que
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