{"url":"/dataset/sltrans","name":"SLTrans","full_name":null,"description_markdown":"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.","description_withheld":null,"homepage":"https://huggingface.co/datasets/UKPLab/SLTrans","introduced_date":"2024-01-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/ircoder-intermediate-representations-make","title":"IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators","first_author":"Indraneil Paul","url":null},"license":{"name":"CC-BY-NC-SA","url":null},"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Code Generation","url":"/task/code-generation","datasets_with_task":"/datasets/task/code-generation"},{"name":"Code Translation","url":"/task/code-translation","datasets_with_task":"/datasets/task/code-translation"}],"languages":[],"variants":["SLTrans"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}