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--- |
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license: cc-by-sa-4.0 |
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tags: |
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- code |
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extra_gated_prompt: >- |
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You agree to not use the model to conduct experiments that cause harm to human |
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subjects or generate malicious code. |
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extra_gated_fields: |
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Company: text |
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Country: country |
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Specific date: date_picker |
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I want to use this model for: |
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type: select |
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options: |
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- Research |
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- Education |
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- label: Other |
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value: other |
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I agree to use this model for non-commercial use ONLY: checkbox |
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task_categories: |
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- text-generation |
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size_categories: |
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- 1M<n<10M |
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dataset_info: |
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- config_name: C |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 3383884149 |
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num_examples: 341419 |
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- name: Size_Optimized |
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num_bytes: 2528286566 |
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num_examples: 341785 |
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download_size: 1323447636 |
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dataset_size: 5912170715 |
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- config_name: C++ |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 116351369851 |
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num_examples: 2898509 |
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- name: Size_Optimized |
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num_bytes: 92572469724 |
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num_examples: 2916655 |
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download_size: 51690627847 |
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dataset_size: 208923839575 |
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- config_name: D |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 2320830137 |
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num_examples: 7000 |
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- name: Size_Optimized |
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num_bytes: 3271276765 |
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num_examples: 11054 |
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download_size: 1316382832 |
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dataset_size: 5592106902 |
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- config_name: Fortran |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 357741835 |
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num_examples: 6327 |
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- name: Size_Optimized |
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num_bytes: 2320830137 |
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num_examples: 7000 |
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download_size: 563853972 |
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dataset_size: 2678571972 |
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- config_name: Go |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 819560767 |
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num_examples: 3913 |
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- name: Size_Optimized |
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num_bytes: 741733997 |
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num_examples: 3925 |
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download_size: 317182680 |
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dataset_size: 1561294764 |
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- config_name: Haskell |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 3838556743 |
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num_examples: 27892 |
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- name: Size_Optimized |
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num_bytes: 3667186152 |
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num_examples: 28203 |
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download_size: 1736729352 |
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dataset_size: 7505742895 |
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- config_name: Nim |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Size_Optimized |
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num_bytes: 106424381 |
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num_examples: 215 |
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download_size: 22506456 |
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dataset_size: 106424381 |
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- config_name: Objective-C |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 1729045 |
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num_examples: 283 |
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- name: Size_Optimized |
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num_bytes: 1433377 |
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num_examples: 283 |
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download_size: 707508 |
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dataset_size: 3162422 |
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- config_name: Python |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 13118428652 |
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num_examples: 154507 |
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- name: Size_Optimized |
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num_bytes: 13118428652 |
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num_examples: 154507 |
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download_size: 6511950536 |
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dataset_size: 26236857304 |
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- config_name: Rust |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 5859467468 |
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num_examples: 38323 |
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- name: Size_Optimized |
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num_bytes: 8695405064 |
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num_examples: 32720 |
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download_size: 5326634011 |
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dataset_size: 14554872532 |
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- config_name: Swift |
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features: |
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- name: Source_Code |
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dtype: string |
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- name: IR_Original |
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dtype: string |
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splits: |
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- name: Perf_Optimized |
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num_bytes: 260013963 |
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num_examples: 2003 |
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- name: Size_Optimized |
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num_bytes: 266356839 |
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num_examples: 2015 |
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download_size: 144113584 |
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dataset_size: 526370802 |
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configs: |
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- config_name: C |
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data_files: |
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- split: Perf_Optimized |
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path: C/Perf_Optimized-* |
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- split: Size_Optimized |
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path: C/Size_Optimized-* |
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- config_name: C++ |
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data_files: |
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- split: Perf_Optimized |
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path: C++/Perf_Optimized-* |
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- split: Size_Optimized |
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path: C++/Size_Optimized-* |
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- config_name: D |
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data_files: |
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- split: Perf_Optimized |
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path: D/Perf_Optimized-* |
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- split: Size_Optimized |
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path: D/Size_Optimized-* |
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- config_name: Fortran |
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data_files: |
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- split: Perf_Optimized |
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path: Fortran/Perf_Optimized-* |
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- split: Size_Optimized |
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path: Fortran/Size_Optimized-* |
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- config_name: Go |
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data_files: |
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- split: Perf_Optimized |
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path: Go/Perf_Optimized-* |
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- split: Size_Optimized |
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path: Go/Size_Optimized-* |
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- config_name: Haskell |
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data_files: |
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- split: Perf_Optimized |
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path: Haskell/Perf_Optimized-* |
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- split: Size_Optimized |
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path: Haskell/Size_Optimized-* |
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- config_name: Nim |
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data_files: |
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- split: Size_Optimized |
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path: Nim/Size_Optimized-* |
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- config_name: Objective-C |
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data_files: |
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- split: Perf_Optimized |
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path: Objective-C/Perf_Optimized-* |
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- split: Size_Optimized |
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path: Objective-C/Size_Optimized-* |
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- config_name: Python |
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data_files: |
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- split: Perf_Optimized |
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path: Python/Perf_Optimized-* |
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- split: Size_Optimized |
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path: Python/Size_Optimized-* |
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- config_name: Rust |
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data_files: |
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- split: Perf_Optimized |
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path: Rust/Perf_Optimized-* |
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- split: Size_Optimized |
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path: Rust/Size_Optimized-* |
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- config_name: Swift |
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data_files: |
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- split: Perf_Optimized |
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path: Swift/Perf_Optimized-* |
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- split: Size_Optimized |
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path: Swift/Size_Optimized-* |
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--- |
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|
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The dataset consists of source code and LLVM IR pairs generated from accepted and de-duped programming contest solutions. The dataset is divided into language configs and mode splits. The language can be one of `C`, `C++`, `D`, `Fortran`, `Go`, `Haskell`, `Nim`, `Objective-C`, `Python`, `Rust` and `Swift`, indicating the source files' languages. The mode split indicates the compilation mode, which can be wither `Size_Optimized` or `Perf_Optimized`. |
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|
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Once you have submitted an access request which has been approved, loading the dataset can be done as follows: |
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> |
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```python |
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from datasets import load_dataset |
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|
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dataset = load_dataset("UKPLab/SLTrans", "C", split="Size_Optimized") |
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``` |
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> |
