datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
hf-coding-tools-traces-all
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
9,603 query → response turns total (≈19,206 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-all.transformers-coding-session-pi-traces
dacorvo/transformers-coding-session-pi-traces
pi coding-agent session traces produced by
agentcap runs. Each run
contributes one folder under data/<run_id>/; inside, one file per
session in pi's native export format.
The on-the-wire HTTP captures for these same runs live in
dacorvo/transformers-coding-session-captures.
Both belong to the
transformers-coding-session Collection
— join on run_id to align captures with traces.
pi-coding-sessionshf-coding-tools-traces_april26
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
32 sessions, one per (tool, model, effort, thinking) configuration
9,130 query → response turns total (≈18,260 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/clem/hf-coding-tools-traces_april26.hf-coding-tools-traces-run-april12
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
8,875 query → response turns total (≈17,750 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-run-april12.hf-coding-tools-traces
HF Coding Tools — Agent Traces
This dataset rehydrates the benchmark run in davidkling/hf-coding-tools-dashboard into the JSONL session format consumed by the Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
8,881 query → response turns total (≈17,762 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6 (Copilot), gpt-4.1… See the full description on the dataset page: https://huggingface.co/datasets/clem/hf-coding-tools-traces.hf-coding-tools-traces
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
32 sessions, one per (tool, model, effort, thinking) configuration
9,130 query → response turns total (≈18,260 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces.hf-coding-tools-traces-discovery
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
31 sessions, one per (tool, model, effort, thinking) configuration
9,022 query → response turns total (≈18,044 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-discovery.hf-coding-tools-traces
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
32 sessions, one per (tool, model, effort, thinking) configuration
9,130 query → response turns total (≈18,260 events)
Tools covered: claude_code, codex, copilot, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, claude-sonnet-4.6, composer-2… See the full description on the dataset page: https://huggingface.co/datasets/cfahlgren1/hf-coding-tools-traces.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.hf-coding-tools-traces-run-april22-v2
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
5 sessions, one per (tool, model, effort, thinking) configuration
728 query → response turns total (≈1,456 events)
Tools covered: claude_code, codex, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, composer-2, gpt-4.1, gpt-4.1-mini
Each… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-run-april22-v2.hf-coding-tools-traces-builder
HuggingFace AI Coding Tools — Agent Traces
This dataset rehydrates the benchmark results from
davidkling/hf-coding-tools-dashboard
into the JSONL session format consumed by the
Hugging Face Agent Trace Viewer.
What's inside
5 sessions, one per (tool, model, effort, thinking) configuration
581 query → response turns total (≈1,162 events)
Tools covered: claude_code, codex, cursor
Models: claude-opus-4-6, claude-sonnet-4-6, composer-2, gpt-4.1, gpt-4.1-mini
Each… See the full description on the dataset page: https://huggingface.co/datasets/davidkling/hf-coding-tools-traces-builder.local-agentic-coding-bench-8gb-vram-2026-05
agentic coding benchmark: local LLMs on 8GB VRAM
can local LLMs do agentic coding (multi-turn tool calling, file creation, debugging) on consumer hardware? this dataset captures real test results.
hardware
GPU: NVIDIA RTX 4060 Ti 8GB
CPU: Intel i7-14700F
RAM: 32 GB DDR5
OS: Windows 11 + WSL2 (Ubuntu)
inference: llama-server (turboquant fork of llama.cpp)
what was tested
two agent frameworks:
Hermes Agent (NousResearch): structured tool calling with… See the full description on the dataset page: https://huggingface.co/datasets/witcheer/local-agentic-coding-bench-8gb-vram-2026-05.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.lexi-coding-web-clean-datasets
lexi-coding-web-clean-datasets
lexi-coding-web-clean-datasets by Reallexi LLC AI Model Builder — llm.reallexi.io
Copyright (c) 2026 Reallexi LLC. All rights reserved.
A retrieval index built by Reallexi AI Model Builder: source text chunked, embedded, and stored for nearest-neighbor retrieval. This is not a causal-language-model checkpoint and cannot be loaded with AutoModelForCausalLM.
Contents
Source data… See the full description on the dataset page: https://huggingface.co/datasets/reallexi/lexi-coding-web-clean-datasets.ox-alpha-coding-reasoning-preview
Ox Alpha Coding Reasoning (preview)
Raw chain-of-thought traces on coding prompts, generated with stealth/ox-alpha
through OpenRouter and filtered down to the rows where the model actually thought.
This is a preview slice, not the finished dataset. Generation is still running.
Why this exists
stealth/ox-alpha returns its reasoning unsummarized. That is unusual — most
hosted reasoning models either hide the CoT or replace it with a post-hoc summary.
Four checks… See the full description on the dataset page: https://huggingface.co/datasets/beyoru/ox-alpha-coding-reasoning-preview.DSA-Coding-Problems-and-Solutions-Dataset
Dataset Description
This dataset is a large-scale collection of Data Structures and Algorithms (DSA) code, containing 12,385 code files with 3.86 million lines of code and 25.01 million lexical tokens, designed to support the development of advanced code generation models, programming assistants, software engineering AI systems, and code intelligence applications.
It consists of real-world DSA implementations covering a wide range of algorithms, data structures, problem-solving… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/DSA-Coding-Problems-and-Solutions-Dataset.agentic-coding-traces
Agentic Coding Mooncake Traces
Synthetic agentic coding benchmark datasets in Mooncake trace (JSONL) format,
generated with AIPerf 0.9.0 for LLM inference benchmarking.
Designed for use with InferenceX via the
agentic-replay scenario-type and aiperf_adapter.py.
Files
File
Sessions
Turns
max_prompt_tokens
Seed
64k/dataset.jsonl
1,000
18,595
65,536
42
128k/dataset.jsonl
1,000
16,957
131,072
42
Format
Each line is a Mooncake trace… See the full description on the dataset page: https://huggingface.co/datasets/thangquang09/agentic-coding-traces.discrete-cot-coding-v5
Discrete-CoT Coding Reasoning Corpus (v5)
Multi-step coding reasoning traces used in the discrete chain-of-thought / text VQ-VAE study.
corpus_v5.jsonl — one JSON object per generated trace.
14,249 traces over 2,509 problems: 6,562 COMPLETE, 7,687 FAILED (filter on the status field).
Each COMPLETE trace has a steps list; each step carries a think (the reasoning compressed in Design B) and an intermediate answer/code. Trace-level fields include plan, final_code, final_think… See the full description on the dataset page: https://huggingface.co/datasets/YuBenjamin2004/discrete-cot-coding-v5.test_Codingreddit_collegeresults_2015_2024qwen36-coding-train-2026-W19Magpie_coding_sfairXC_ArmoRM_top5_reward_difference