Datasets:
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README.md
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@@ -474,14 +474,10 @@ LIBRA Mini uses the same **Exact Match (EM)** metric and evaluation methodology
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We recommend using LIBRA Mini as the primary evaluation suite for model comparisons, while the full LIBRA benchmark remains available for comprehensive analysis.
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## Dataset Structure
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The datasets are divided into subsets based on context lengths.
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<p align="center">
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<img src="libra_benchmark_structure.svg" width="600" />
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</p>
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The table below shows the number of examples per context length for each dataset. Datasets included in **LIBRA Mini** are highlighted in bold. Note that not all datasets cover the full range of context lengths — some are designed for specific length ranges that best suit their task type.
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| **Task** | **4k** | **8k** | **16k** | **32k** | **64k** | **128k** | **256k** | **512k** | | **Total** |
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|:---|---:|---:|---:|---:|---:|---:|---:|---:|---|---:|
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We recommend using LIBRA Mini as the primary evaluation suite for model comparisons, while the full LIBRA benchmark remains available for comprehensive analysis.
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## Dataset Structure
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<p align="center">
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<img src="libra_benchmark_structure.svg" width="600" />
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</p>
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The datasets are divided into subsets based on context lengths. The table below shows the number of examples per context length for each dataset. Datasets included in **LIBRA Mini** are highlighted in bold. Note that not all datasets cover the full range of context lengths — some are designed for specific length ranges that best suit their task type.
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| **Task** | **4k** | **8k** | **16k** | **32k** | **64k** | **128k** | **256k** | **512k** | | **Total** |
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|:---|---:|---:|---:|---:|---:|---:|---:|---:|---|---:|
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