ai-coding
students-coding-questions-from-ai-assistant
Dataset Documentation
Overview
This dataset contains 6776 questions asked by students from CodeAid, an AI coding assistant, during a C programming class over a 12-week semester from January to April 2023. The course did not allow the use of ChatGPT, but CodeAid was permitted. CodeAid, powered by GPT-3, did not directly disclose code solutions even when requested by students. Instead, it functioned like a teaching assistant, providing scaffolded responses in natural… See the full description on the dataset page: https://huggingface.co/datasets/majeedkazemi/students-coding-questions-from-ai-assistant.GenBench_coding
Task types by split
task_type
train
test
coding_variant
101
8
conservation_reasoning
624
132
counterfactual
598
202
disease_reasoning
523
93
hallucination_detection
627
173
interaction_propagation
651
149
path_traversal
263
151
structural_effect
677
112
Schema
Each item has:
id, task_type, pipeline (coding_variant/noncoding_regulatory), difficulty
question, answer, choices (MCQ options, when applicable)
context -- either a templated… See the full description on the dataset page: https://huggingface.co/datasets/iit-patna-cse-ai/GenBench_coding.context-ucurve-coding-agents
Context U-curve: 36 coding-agent runs under six context-clearing policies
How often should an LLM coding agent's context be cleared? This dataset holds every run behind the report
"Clear Every Third Task: A Measured U-Curve in the Context Economy of Coding Agents"
(Evgenii Arsentev, 2026; corrected version 1.2, DOI 10.5281/zenodo.22759217; version 1.0: DOI 10.5281/zenodo.22699668).
A fixed suite of twelve programming tasks was run under six session-length policies — a fresh… See the full description on the dataset page: https://huggingface.co/datasets/arsentev-ai/context-ucurve-coding-agents.tech-debt-ai-coding
Debt Behind the AI Boom — Replication Data
Data for the paper:
Debt Behind the AI Boom: A Large-Scale Empirical Study of AI-Generated Code in the Wild
Yue Liu, Ratnadira Widyasari, Yanjie Zhao, Ivana Clairine Irsan, Junkai Chen, David Lo
📄 arXiv:2603.28592 · 💻 Code: github.com/yueyueL/tech-debt-ai-coding
We mined 302.6K AI-authored commits from 6,299 GitHub repositories across five
AI coding assistants (GitHub Copilot, Claude, Cursor, Gemini, Devin), ran static
analysis… See the full description on the dataset page: https://huggingface.co/datasets/yueyuel/tech-debt-ai-coding.Athenea-Coding-100k
Athenea-Coding-100k
A small dataset for code reasoning and solving code tasks.
Dataset Details
Size: 100,000 examples
Format: Conversational (Hermes-style)
Features: Chain-of-thought reasoning in <think> blocks
Languages: English
Use Case: Fine-tuning LLMs for code reasoning and solving code tasks.
Contact
More about Aquiles-ai.
Aquiles-ai on GitHub.
Our collections at HuggingFace.
coding_samples
Collinear Coding Samples Dataset
The dataset contains multiple subsets for different data use cases.
1. Supervised Fine-Tuning (SFT)
Data structure:
problem: coding problem
tests: test cases for the problem
response: correct solution
language: programming language
2. Reinforcement Learning with Verifiers (RLVR)
This includes input problems, verifiers, and an oracle language-specific verifier script.
Data structure:
problem: coding task for RL
tests: test… See the full description on the dataset page: https://huggingface.co/datasets/collinear-ai/coding_samples.