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README.md
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---
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license: apache-2.0
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dataset_info:
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data_files:
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path: benchmark-loop_with_variable_v2/train-*
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path: github-400k/train-*
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path: github-600k/train-*
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path: github-600k/validation-*
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---
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---
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license: apache-2.0
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3 |
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dataset_info:
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- config_name: benchmark-loop_with_constant
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features:
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- config_name: benchmark-loop_with_constant
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data_files:
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- split: train
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path: benchmark-loop_with_constant/train-*
|
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- split: validation
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path: benchmark-loop_with_constant/validation-*
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- config_name: benchmark-loop_with_variable_v2
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data_files:
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- split: train
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path: benchmark-loop_with_variable_v2/train-*
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- split: validation
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path: benchmark-loop_with_variable_v2/validation-*
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- config_name: benchmark-loop_with_variable_v2_no_k
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179 |
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data_files:
|
180 |
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- split: train
|
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path: benchmark-loop_with_variable_v2_no_k/train-*
|
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- split: validation
|
183 |
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path: benchmark-loop_with_variable_v2_no_k/validation-*
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184 |
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- config_name: github-200k
|
185 |
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data_files:
|
186 |
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- split: train
|
187 |
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path: github-200k/train-*
|
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- split: validation
|
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path: github-200k/validation-*
|
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- config_name: github-350k
|
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data_files:
|
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- split: train
|
193 |
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path: github-350k/train-*
|
194 |
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- split: validation
|
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path: github-350k/validation-*
|
196 |
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- config_name: github-400k
|
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data_files:
|
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- split: train
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path: github-400k/train-*
|
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- split: validation
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path: github-400k/validation-*
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- config_name: github-600k
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data_files:
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- split: train
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path: github-600k/train-*
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- split: validation
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path: github-600k/validation-*
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---
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A collection of datasets and benchmarks for large-scale Performance Modeling with LLMs.
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This collection includes these dataset:
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1. **github-200K**: a first version dataset that contains ~1300 kernel's execution time with input size - global size correlation and imbalanced data.
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2. **github-350k**: a continued second version dataset that fix the imbalanced data problem.
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3. **github-400k**: a continued third version dataset that relax the input - global size correlation.
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4. **github-600K**: a fourth version dataset that contains ~6000 kernel's execution time with input size - global size correlation and imbalanced data.
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5. **benchmark-[]**: benchmarks for LLMs performance on Perfomance Modeling task.
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