datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
fable-5-coding-and-debugging-traces-synthetic-corrections
Model Synthetic Corrections
1 TRAJECTORIES · 2 TRAINING ROWS · 16 kB
Generated by moonshiner — an open harness for
distilling verified instruction-following, tool-use, and agentic coding traces.
Synthetic Corrections companion dataset. The original dataset is greghavens/fable-5-coding-and-debugging-traces. These are narrowly, synthetically corrected, independently re-judged traces that never passed in the original dataset.
Behavior-preserving instruction-following… See the full description on the dataset page: https://huggingface.co/datasets/greghavens/fable-5-coding-and-debugging-traces-synthetic-corrections.kimi-k3-coding-and-debugging-traces
Kimi K3 Coding & Debugging Agent Traces
Generated by moonshiner — an open harness for
distilling verified, model-attested agentic coding traces.
Real, end-to-end agentic coding trajectories produced by
moonshotai/kimi-k3 driving the pi coding-agent runtime over
openrouter, at max reasoning. Each trajectory solves a concrete
repair or build task in a real repository — reading, editing, and running code
with tools — and is published only after its work verifiably passes —… See the full description on the dataset page: https://huggingface.co/datasets/gbeck/kimi-k3-coding-and-debugging-traces.python_debugging
Python Debugging
A synthetic instruction-tuning dataset for training AI models to identify and fix bugs in Python code.
Dataset Summary
Field
Value
Entries
75
Format
input / output pairs
Language
English
Topic
Finding and fixing bugs in Python code
Synthetic
Yes, generated with DeepSeek
License
MIT
Dataset Description
Each entry presents a snippet of Python code containing a deliberate bug, along with a corrected version… See the full description on the dataset page: https://huggingface.co/datasets/creeperdatasets/python_debugging.code-debugging-sft-50k
Code Debugging SFT (50K)
50,000 ShareGPT-format conversations where the user presents buggy code and the assistant provides root-cause analysis and a corrected solution. Covers Python, JavaScript, Go, TypeScript, and SQL across 14 bug categories.
Motivation
Debugging is one of the most frequent developer tasks — and one of the hardest to train. Most coding datasets focus on writing code from scratch. This dataset trains models to:
Identify the precise root cause… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/code-debugging-sft-50k.fable-5-coding-and-debugging-traces-synthetic
Model Synthetic Corrections
1 TRAJECTORIES · 2 TRAINING ROWS · 16 kB
Generated by moonshiner — an open harness for
distilling verified instruction-following, tool-use, and agentic coding traces.
Synthetic Corrections companion dataset. The original dataset is greghavens/fable-5-coding-and-debugging-traces. These are narrowly, synthetically corrected, independently re-judged traces that never passed in the original dataset.
Behavior-preserving instruction-following… See the full description on the dataset page: https://huggingface.co/datasets/11-47/fable-5-coding-and-debugging-traces-synthetic.Code_Debugging_QA
Code Debugging Q&A Dataset
By dmeldrum6
A curated dataset of 1,073 question-and-answer pairs covering common debugging scenarios across Python, JavaScript, SQL, and Bash. Designed for fine-tuning and instruction-tuning language models on code debugging tasks.
Dataset Summary
Each pair presents a realistic bug symptom as a question and a structured answer containing:
A buggy code block demonstrating the problem
A corrected code block showing the fix
A… See the full description on the dataset page: https://huggingface.co/datasets/kalaiarasan27/Code_Debugging_QA.self_evolving_self_debugging_250_implementations-2dfm8-synthetic-code-debugging
Code Generation and Debugging
Synthetic DFM8 training data generated with Gemma 4 31B and filtered by deterministic checks plus a Gemma 4 31B judge.
Schema
Rows are JSONL chat records:
{"messages": [{"role": "user", "content": "..."}, {"role": "assistant", "content": "..."}]}
Tool-calling rows may also include a top-level tools list and assistant tool_calls.
Counts
accepted rows: 340711
generated rows seen: 4800000
audit rows seen: 4580233… See the full description on the dataset page: https://huggingface.co/datasets/schneiderkamplab/dfm8-synthetic-code-debugging.Code_Debugging_QA
Code Debugging Q&A Dataset
By dmeldrum6
A curated dataset of 1,073 question-and-answer pairs covering common debugging scenarios across Python, JavaScript, SQL, and Bash. Designed for fine-tuning and instruction-tuning language models on code debugging tasks.
Dataset Summary
Each pair presents a realistic bug symptom as a question and a structured answer containing:
A buggy code block demonstrating the problem
A corrected code block showing the fix
A plain-language… See the full description on the dataset page: https://huggingface.co/datasets/dmeldrum6/Code_Debugging_QA.self_evolving_self_debugging_250_implementationstelugu_compiler_debugging_v7mirror-Code_Debugging_QA
Code Debugging Q&A Dataset
By dmeldrum6
A curated dataset of 1,073 question-and-answer pairs covering common debugging scenarios across Python, JavaScript, SQL, and Bash. Designed for fine-tuning and instruction-tuning language models on code debugging tasks.
Dataset Summary
Each pair presents a realistic bug symptom as a question and a structured answer containing:
A buggy code block demonstrating the problem
A corrected code block showing the fix
A… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-Code_Debugging_QA.telugu_debugging_failures_v7debugging-failure-dilemma-v10