datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hf-codegen-v2
Dataset Card for "hf-codegen-v2"
Dataset generated with the code from: https://github.com/sayakpaul/hf-codegen.
CodeGen-Diverse-5K
CodeGen-Diverse-5K: Broad Coverage for Competitive Programming
Part of the CodeGen suite | CodeGen-Deep-5K (sister dataset)
Dataset Description
CodeGen-Diverse-5K is a broad coverage dataset designed for training code generation models across a wide variety of competitive programming problems. This dataset prioritizes problem diversity over solution diversity, covering 5,000 unique problems with consistent, high-quality solutions.
Key Statistics
Total samples:… See the full description on the dataset page: https://huggingface.co/datasets/Naholav/CodeGen-Diverse-5K.Code-Generation-Quality-Estimation
Code Generation Quality Estimation
This repository contains model-ready task context, generated code, and complete-case execution-resource targets for five public LLM code-generation cohorts. It provides deterministic 70/10/20 group-aware split versions using seeds 42, 1234, and 2026.
Configurations
There are 15 configurations: one for each dataset and split seed. Each configuration has train, validation, and test splits.
Dataset
Complete rows
Groups
Models… See the full description on the dataset page: https://huggingface.co/datasets/Samsoup/Code-Generation-Quality-Estimation.CodeGen-Deep-5K
CodeGen-Deep-5K: Deep Reasoning for Competitive Programming
Part of the CodeGen suite | CodeGen-Diverse-5K (sister dataset)
Dataset Description
CodeGen-Deep-5K is a deep reasoning dataset designed for training code generation models with enhanced problem-solving capabilities. Unlike traditional datasets, this generates multiple distinct solutions for each problem, providing varied reasoning traces and approaches.
Key Statistics
Total samples: 5,000
Unique… See the full description on the dataset page: https://huggingface.co/datasets/Naholav/CodeGen-Deep-5K.stack_dedup_lua_codegen_full
Dataset Card for "stack_dedup_lua_codegen_full"
More Information needed
sft_trajectories_codegeneration_20250811_003619_filteredCodeGen4Libs
Dataset Card for FudanSELab CodeGen4Libs Dataset
Dataset Summary
This dataset is used in the ASE2023 paper titled "CodeGen4Libs: A Two-stage Approach for Library-oriented Code Generation".
Languages
[More Information Needed]
Dataset Structure
from datasets import load_dataset
dataset = load_dataset("FudanSELab/CodeGen4Libs")
DatasetDict({
train: Dataset({
features: ['id', 'method', 'clean_method', 'doc', 'comment', 'method_name', 'extra'… See the full description on the dataset page: https://huggingface.co/datasets/severo/CodeGen4Libs.sft_trajectories_codegeneration_20250804_173456sft_trajectories_codegeneration_20250804_173314sft_trajectories_codegeneration_20250811_111740_filteredsft_trajectories_codegeneration_20250812_030528codegen1_merged_cleansft_trajectories_codegeneration_20250812_195018sft_trajectories_codegeneration_20250812_044453_filteredkf-codegen-v2spring-codegen-v2GPTeacher_codegen_standardized
Dataset Card for "GPTeacher_codegen_standardized"
More Information needed
sft_trajectories_codegeneration_20250811_111740sft_trajectories_codegeneration_20250812_044453sft_trajectories_codegeneration_20250812_030528_filteredsft_trajectories_codegeneration_20250806_001339sft_trajectories_codegeneration_20250811_003619sft_trajectories_codegeneration_20250804_211806gh-codegen-v2hf-codegen-v2code_generation
Visualization of Code Generation Task Cases Samples
Check dataset samples visualization by viewing Dataset Viewer.
The sampling procedure is guided by the Elo distribution introduced in our method.
Original dataset is release_v5 of livecodebench/code_generation_lite from hugging face.
samples/origin: 879/880
License
This repository is licensed under the Apache License 2.0
hf-codegen-v2sft_trajectories_codegeneration_20250806_212151prompt-sensitivity-codegen
Prompt Sensitivity in Few-Shot Code Generation Dataset
This dataset contains the full generated-code outputs and pass/fail outcomes used in
our prompt sensitivity study across model families, benchmarks, perturbation axes,
and k-shot settings.
Dataset summary
Rows: 240000
Models: claude-sonnet-4, gemini-2.5-flash, gpt-4o, llama-3.3-70b, qwen2.5-coder-3b
Benchmarks: humaneval, mbpp
Axes: order, phrasing, style
k-shot values: 0, 1, 2, 3
Hugging Face repo:… See the full description on the dataset page: https://huggingface.co/datasets/daksh76/prompt-sensitivity-codegen.prompt-sensitivity-codegen
Anonymous Prompt Sensitivity Dataset
This package contains model generations and evaluation outcomes for an anonymized
submission on prompt sensitivity in few-shot code generation.
What is included
prompt_sensitivity_dataset.jsonl: one row per generated sample
prompt_sensitivity_dataset.csv: tabular view of the same rows
prompt_sensitivity_dataset.parquet: columnar copy when parquet support is available
prompt_variant_spec.json: machine-readable description of the prompt… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-acl26/prompt-sensitivity-codegen.