datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
code-code-translation-java-csharp
Dataset is imported from CodeXGLUE and pre-processed using their script.
Where to find in Semeru:
The dataset can be found at /nfs/semeru/semeru_datasets/code_xglue/code-to-code/code-to-code-trans in Semeru
CodeXGLUE -- Code2Code Translation
Task Definition
Code translation aims to migrate legacy software from one programming language in a platform toanother.
In CodeXGLUE, given a piece of Java (C#) code, the task is to translate the code into C#… See the full description on the dataset page: https://huggingface.co/datasets/semeru/code-code-translation-java-csharp.csharp-dotnet-cpt-v0
csharp-dotnet-cpt-v0
A reproducible C# / .NET continued-pretraining (CPT) corpus for Qwen2.5-Coder-1.5B.
HF: https://huggingface.co/datasets/Nottybro/csharp-dotnet-cpt-v0 (private)
Total unique tokens: 695,288,168 (Qwen2.5-Coder-1.5B tokenizer)
Files: 681,426 | Repositories: 68,869
Format: Zstandard-compressed Parquet, schema below.
See DATASET_CARD.md for sources, license policy, filtering, limitations.
See reports/summary.md for full statistics.
LCC_csharp
Dataset Card for "LCC_csharp"
More Information needed
cross_code_eval_csharpcsharp_PRstiny-codes-csharpexp_rpt_crosscodeeval-csharp-v4-qwen3.5-122b-131k-opencode-traces
Agent trace dataset
Decoding the literal token IDs
The prompt_token_ids / completion_token_ids / logprobs columns are the
verbatim tokens the serving engine emitted, stored PER AGENT STEP as a
list-of-lists (one inner list per turn). To turn them back into text you MUST
use the exact tokenizer the model was served with — a generic same-family
tokenizer will decode word tokens to garbage.
Served model / tokenizer source: Qwen/Qwen3.5-122B-A10B-FP8
from transformers… See the full description on the dataset page: https://huggingface.co/datasets/open-athena/exp_rpt_crosscodeeval-csharp-v4-qwen3.5-122b-131k-opencode-traces.csharp-dotnet-reviewing-reasoning-traces
C#/.NET Code Review Reasoning Traces
A curated dataset of 273 high-quality C#/.NET code-review examples with explicit reasoning traces, focused on grounded defect detection, execution/state tracing, falsification, and reduction of false-positive bug reports.
The final corpus contains:
200 positive examples
73 negative examples
73.26% positive / 26.74% negative
The dataset is derived from real open-source C#/.NET projects and includes historical bugs, controlled semantic… See the full description on the dataset page: https://huggingface.co/datasets/kdrapel/csharp-dotnet-reviewing-reasoning-traces.terminal_bench_2_a1_nemotron_csharp_20260820_210818lcc_csharpThis dataset has been modified from the microsoft/LCC_csharp dataset to provide CodeLLaMa with infilling tasks as per the original fill-in-the-middle paper, were the text that needs to be filled in is moved to the end of the dataset, thus taking advantage of the Generative feature of GPT-style models.
Unity-Engine-CSharp-Code-and-Game-Design-Document-Code-Pairs-Mix-and-Jam
Unity Code and GPT-Generated GDD Pairs Dataset
This dataset contains paired samples of Unity game mechanic scripts and their corresponding GPT-4 generated Game Design Documents (GDDs). It is intended for training and benchmarking LLMs in game code generation from design specifications.
Format
Each entry is stored as a .jsonl file with:
"input": GPT-4 generated GDD describing a specific game and its mechanics
"output": Unity C# scripts implementing the described mechanic… See the full description on the dataset page: https://huggingface.co/datasets/AmnaHassan/Unity-Engine-CSharp-Code-and-Game-Design-Document-Code-Pairs-Mix-and-Jam.bigcode_csharpterminal_bench_2_a3_rl_laion_exp_rpt_crosscodeeval_csharp_v4_50_8B_20260828_184838glm52-datagen-r11-18-crosscodeeval-csharp-tracesdev_set_v2_a3_rl_laion_exp_rpt_crosscodeeval_csharp_v4_50_8B_20260825_141239terminal_bench_2_r2egym_nl2bash_stack_bugsseq_rl_crosscodeeval_csharp_20260222_044008terminal_bench_2_a1_nemotron_csharp_20260710_043324sc_Csharpcsharpdata
Dataset Card for LeetCode Problems Dataset
Dataset Summary
This dataset contains LeetCode problems, including the problem statements, inputs, and solutions. It is useful for training code generation models and studying algorithmic problems.
Supported Tasks and Leaderboards
text-generation: This dataset can be used to train models to generate code snippets based on problem statements.
Languages
The dataset is in English.
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/privelabsdev/csharpdata.awesome-csharpнабор для fine-tuning C# expert model
exp_rpt_crosscodeeval-csharpeval-fsr-a1-stack-csharp-swe-r523-tracesdev_set_v2_a1_nemotron_csharp_20260820_135113c-sharp-coding-dataset
Dataset Card for c-sharp-coding-dataset
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/dmeldrum6/c-sharp-coding-dataset/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/dmeldrum6/c-sharp-coding-dataset.exp_rpt_nemotron-csharp_10k_glm_4.7_traces_jupitertiny-codes-alpaca-csharp
Dataset Card for "tiny-codes-alpaca-csharp"
More Information needed
exp_rpt_stack-csharpa1_crosscodeeval_csharpterminal_bench_2_a1_crosscodeeval_csharp_20260326_140324exp_rpt_crosscodeeval-csharp_10k