datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LiteCoder-Terminal-RL-preview
LiteCoder-Terminal-RL-preview
Paper | Code | Blog Post
This dataset contains 602 standardized Harbor terminal environments and was released as part of the paper LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents.
Unlike static text-only instructions, these environments are fully executable and are designed to support the training of terminal-based agents.
Environment Generation Pipeline
The lack of high-quality, executable… See the full description on the dataset page: https://huggingface.co/datasets/Lite-Coder/LiteCoder-Terminal-RL-preview.github-codereview
Code Review Dataset
A large-scale dataset of the best human-written code reviews from top GitHub repositories.
Each row captures a moment where a human code reviewer left an inline comment on a pull request, and the author subsequently modified the code in response.
The dataset also includes negative examples — code from the same PRs that passed review without comments — to help models learn when code is acceptable.
This provides a natural signal for training models to:
Generate… See the full description on the dataset page: https://huggingface.co/datasets/ronantakizawa/github-codereview.code-review-bench
Code Review Bench
A paired online-offline benchmark for AI code review.
Splits
online — Stratified sample of 1,135 bot-reviewed PRs, scraped from open-source Github repositories and scored by the online benchmark (15 tools, Feb–Apr 2026).
offline — 136 expert-curated golden issues across 50 PRs (5 repositories).
Provenance
The offline golden issues extend the 50-PR benchmark originally created by Greptile (2025) and refined by Augment (2025). Our… See the full description on the dataset page: https://huggingface.co/datasets/code-review-bench/code-review-bench.CodeRouterBench
CodeRouterBench
CodeRouterBench is the benchmark data released with Agent-as-a-Router. The
core unit is a complete task-by-model result matrix: every benchmark task has
one recorded result for each of the eight canonical backend models.
Repository: https://github.com/LanceZPF/agent-as-a-router
Optional trained router adapter: Lance1573/acrouter-qwen35-08b-router-lora
Associated Paper
Hugging Face Daily Papers: Agent-as-a-Router: Agentic Model Routing for Coding… See the full description on the dataset page: https://huggingface.co/datasets/Lance1573/CodeRouterBench.ds-coder-instruct-v2
Dataset Card for DS Coder Instruct v2 Dataset
Changes from v1:
Added WizardLM evol data science samples
Removed R samples from v2
DS Coder is a dataset for instruction fine tuning of language models. It is a specialized dataset focusing only on
data science (eg. plotting, data wrangling, machine learnig models, deep learning, and numerical computations). The dataset contains code examples both in Python (R samples were removed in v2).
The goal of this dataset is to enable… See the full description on the dataset page: https://huggingface.co/datasets/ed001/ds-coder-instruct-v2.Qwen3-Coder-Next-Open-Code-SFT
Dataset Card — OpenCode Rejection Sampling
Overview
This dataset contains high-quality code reasoning data for training language models on competitive programming tasks. It is produced via rejection sampling with Qwen3-Coder-Next, which would generate multiple candidate solutions per problem, each candidate is executed against test cases in a sandboxed environment, and the results are used to build two complementary training datasets:
SFT dataset (49,374 examples)… See the full description on the dataset page: https://huggingface.co/datasets/zake7749/Qwen3-Coder-Next-Open-Code-SFT.Qwen3-Coder-Next-OpenCode-Preference
Dataset Card — OpenCode Rejection Sampling (Preference)
Overview
This dataset contains 10,920 preference pairs for preference-based training (DPO, KTO, SimPO, ORPO, etc.) on competitive programming tasks. Each pair consists of:
Chosen: a candidate solution that passes 100% of test cases
Rejected: a candidate solution that fails, with a fine-grained rejection type label
Pairs are produced via rejection sampling with Qwen3-Coder-Next: 8 candidate solutions are… See the full description on the dataset page: https://huggingface.co/datasets/zake7749/Qwen3-Coder-Next-OpenCode-Preference.strudel-coder
Claude Code session traces for JohnBeanerson/strudel-coder
This dataset contains redacted Claude Code session traces collected while working on https://github.com/ultralazr/strudel-coder.git. The traces were exported with cc-share-hf and filtered to keep only sessions that passed deterministic redaction and LLM review.
Data description
Each file in the repo root is a redacted Claude Code session in its native JSONL format (one entry per line). HuggingFace… See the full description on the dataset page: https://huggingface.co/datasets/JohnBeanerson/strudel-coder.Coder-Stat
Coder-Stat Dataset
Overview
The Coder-Stat dataset is a collection of programming-related data, including problem IDs, programming languages, original statuses, and source code snippets. This dataset is designed to assist in the analysis of coding patterns, error types, and performance metrics.
Dataset Details
Modalities
Tabular: The dataset is structured in a tabular format.
Text: Contains text data, including source code snippets.
Formats… See the full description on the dataset page: https://huggingface.co/datasets/prithivMLmods/Coder-Stat.code-route
Code de la route, non-instruct (2025-07-11)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of free, open-source language models… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-route.Qwen2.5-Coder-0.5B-Flutter-direct-eval
Qwen2.5-Coder-0.5B Flutter — Direct Mode — Validation Results
Dataset Summary
Held-out evaluation results for bbidpa/Qwen2.5-Coder-0.5B-Flutter-direct,
a fine-tune of Qwen2.5-Coder-0.5B for editing Flutter/Dart source files. In direct
mode, the model is given an existing file and an edit instruction and generates the
complete modified file in a single forward pass (as opposed to the steps /
iterative diff-based mode — see the sibling dataset… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/Qwen2.5-Coder-0.5B-Flutter-direct-eval.Qwen2.5-Coder-0.5B-Flutter-steps-eval
Qwen2.5-Coder-0.5B Flutter — Steps Mode — Validation Results
Dataset Summary
Held-out evaluation results for bbidpa/Qwen2.5-Coder-0.5B-Flutter-steps,
a fine-tune of Qwen2.5-Coder-0.5B for editing Flutter/Dart source files. In steps
mode, the model is given an existing file and an edit instruction and generates a
sequence of localized search/replace edit actions, each mechanically applied to the
current file state before the next action is generated, until the… See the full description on the dataset page: https://huggingface.co/datasets/bbidpa/Qwen2.5-Coder-0.5B-Flutter-steps-eval.Persian-Wikipedia-Corpus
Overview
This dataset is derived from the Persian Wikipedia Corpus project, which contains parsed articles from the Persian Wikipedia. The original data has been converted into a more accessible format and made available through the HuggingFace datasets library.
Usage
from datasets import load_dataset
dataset = load_dataset("codersan/Persian-Wikipedia-Corpus")
Persian-Wikipedia-Corpus
A complete copy of Persian Wikimedia pages, The dataset contains articles… See the full description on the dataset page: https://huggingface.co/datasets/codersan/Persian-Wikipedia-Corpus.CodeReality
CodeReality: Evaluation Subset - Deliberately Noisy Code Dataset
⚠️ Important Limitations
⚠️ Not Enterprise-Ready: This dataset is deliberately noisy and designed for research only. Contains mixed/unknown licenses, possible secrets, potential security vulnerabilities, duplicate code, and experimental repositories. Requires substantial preprocessing for production use.
Use at your own risk - this is a research dataset for robustness testing and data curation method… See the full description on the dataset page: https://huggingface.co/datasets/vinsblack/CodeReality.eval-trajs-1930-coder
⚠️ DO NOT TRAIN ON THIS — THIS IS TEST DATA ⚠️
These trajectories are evaluation outputs on SWE-bench-Verified.
Training on them (directly, or via distillation, rejection sampling,
or any form of preference data) contaminates the benchmark.
Every row carries a warning column repeating this notice.
Talkie 1930 / Web — SFT eval trajectories
Mini-SWE-Agent trajectories from the 2e-5 SFT runs of talkie-lm/talkie-1930-13b and talkie-lm/talkie-web-13b.
Graded by the SWE-bench… See the full description on the dataset page: https://huggingface.co/datasets/ricdomolm/eval-trajs-1930-coder.Qwen3-Coder-Next-Open-Code-SFT
Dataset Card — OpenCode Rejection Sampling
Overview
This dataset contains high-quality code reasoning data for training language models on competitive programming tasks. It is produced via rejection sampling with Qwen3-Coder-Next, which would generate multiple candidate solutions per problem, each candidate is executed against test cases in a sandboxed environment, and the results are used to build two complementary training datasets:
SFT dataset (49,374 examples)… See the full description on the dataset page: https://huggingface.co/datasets/derekib/Qwen3-Coder-Next-Open-Code-SFT.code-relations-public-administration
Code des relations entre le public et l'administration, non-instruct (2025-03-10)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-relations-public-administration.code-rural-peche-maritime
Code rural et de la pêche maritime, non-instruct (2025-07-11)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of free, open-source… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-rural-peche-maritime.code-recherche
Code de la recherche, non-instruct (2025-03-10)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of free, open-source language… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-recherche.code-rural-ancien
Code rural (ancien), non-instruct (2025-07-11)
The objective of this project is to provide researchers, professionals and law students with simplified, up-to-date access to all French legal texts, enriched with a wealth of data to facilitate their integration into Community and European projects.
Normally, the data is refreshed daily on all legal codes, and aims to simplify the production of training sets and labeling pipelines for the development of free, open-source language… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/code-rural-ancien.prometech_inc_basic_coder
Prometech Inc Basic Coder Dataset
Dataset Overview
Filename: prometech_inc_basic_coder.jsonlTotal Entries: 263,903File Size: ~854 MBProvider: Prometech Bilgisayar Bilimleri AŞ
This dataset is a unified collection of high-quality coding instruction-following records, designed for fine-tuning Large Language Models (LLMs) or for use in Retrieval-Augmented Generation (RAG) systems. It aggregates data from multiple open-source high-quality datasets, synthetic documentation… See the full description on the dataset page: https://huggingface.co/datasets/pthinc/prometech_inc_basic_coder.code_rose_initial_1_7B_SFT_10K_rollouts_Qwen3-4B-Thinking-2507_k12_t0.7_maxtok12288
code_rose_initial_1_7B_SFT_10K — rollouts (Qwen3-4B-Thinking-2507, k=12)
Pass@k completions generated with vLLM over the prefixes in
CL-From-Nothing/code_rose_initial_1_7B_SFT_10K.
Generation config
Model
Qwen3-4B-Thinking-2507
Samples per question (k)
12
Temperature
0.7
top_p
0.9
max_tokens
12288
max_model_len
32768
Questions
7250 (index 0–7249, full split)
Total rows
87000 (7250 × 12)
Generated by complete_prefix_vllm.py… See the full description on the dataset page: https://huggingface.co/datasets/CL-From-Nothing/code_rose_initial_1_7B_SFT_10K_rollouts_Qwen3-4B-Thinking-2507_k12_t0.7_maxtok12288.