datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
paper2-patches-period1-ARCHIVED-OLDCOVERAGE-20260710ota-patchesurban3d-patchesSynthMat_Patches_DSgithub-patchesrepo2rlenv-cve-patches
repo2rlenv-cve-patches
Generated by Repo2RLEnv — turning real GitHub repositories into verifiable RL environments.
💡 Browse this dataset in your browser — click the badge above or open
HuggingFaceH4/harbor-visualiser
to inspect every task's spec, instruction, oracle patch, test script, and Dockerfile.
Source repos (6):
Pylons/waitress
andialbrecht/sqlparse
lepture/mistune
pallets/flask
pallets/werkzeug
psf/requests
Pipeline: cve_patches
Tasks: 19
Visibility: public
Spec:… See the full description on the dataset page: https://huggingface.co/datasets/FineEnvs/repo2rlenv-cve-patches.acrobat-patches-v3
ACROBAT Registered H&E-IHC Patches v3
H&E-IHC patch pairs extracted from registered ACROBAT whole-slide images. All IHC slides were warped into H&E space by VALIS — patches at the same (x, y) coordinates in HE and IHC are perfectly aligned.
Key Features
205 patients — full ACROBAT breast cancer dataset
9,658 HE patches at 1024×1024 px, 0.92 µm/px (10X)
31K IHC pairs: ER (8,385), PGR (8,453), HER2 (5,543), KI67 (8,439)
WSI thumbnails — 512×512 low-res H&E per patient for… See the full description on the dataset page: https://huggingface.co/datasets/ahmedayman4a/acrobat-patches-v3.liveswebench-patchesR2E-TestgenAgent-Patchesgithub-patches-genesysimport re
import json
from datasets import load_dataset
PROMPT_TEMPLATE = """\
We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
{issue}
--- END ISSUE ---
Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
{file_context}
--- END FILES ---
Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format… See the full description on the dataset page: https://huggingface.co/datasets/rasdani/github-patches-genesys.github-patches-decontaminated# removed all repos of SWE-bench and RepoBench
repos = [
"astropy",
"django",
"flask",
"matplotlib",
"seaborn",
"requests",
"xarray",
"pylint",
"pytest",
"scikit-learn",
"sphinx",
"sympy",
]
vessel-detection-labeled-patches
Vessel Detection Labeled Patches
Validated/confirmed satellite image patches exported from the military-boat-detection review workflow.
Contents
images/: patch images.
metadata.csv: one row per patch, compatible with Hugging Face image-folder metadata.
metadata.jsonl: rich patch metadata with nested objects.
annotations.csv: one row per vessel annotation.
annotations.jsonl: JSONL version of the object annotations.
labels/: YOLO-format labels. Hard negatives have empty… See the full description on the dataset page: https://huggingface.co/datasets/DefendIntelligence/vessel-detection-labeled-patches.selected_hovernet_patchesidc-patchessecurity-vuln-patches
Security Vulnerability Fix Patches
A curated dataset of 355 validated real-world vulnerability fix patches mined from public GitHub repositories.
Each record contains the unified diff of a pull request or commit that fixes a specific CWE (Common Weakness Enumeration) vulnerability, along with metadata about the repository, language, and fix type.
Dataset Summary
Source: Public GitHub PRs and commits (2024-2025) discovered via BigQuery analysis of GH Archive data… See the full description on the dataset page: https://huggingface.co/datasets/rgaucher/security-vuln-patches.dx7-patches-and-prompts
Yamaha DX7 Synthesizer Patches with AI-Generated Prompts
Dataset Description
This is a comprehensive, multi-task dataset designed for fine-tuning language models to understand and generate synthesizer patches for the Yamaha DX7.
The dataset contains over 20,000 examples across three distinct but related tasks, making it ideal for creating models that can not only generate patches but also understand and reason about their structure and validity.
How the Data Was… See the full description on the dataset page: https://huggingface.co/datasets/ccerati/dx7-patches-and-prompts.github-patches-genesys-swe-prompt-2k-context-1k-diffgithub-patches-genesys-agentless-promptgithub-patches-genesys-4k-context-1k-diffprompts < 4096 Qwen3 tokens
golden_diff < 1024 Qwen3 tokens
github-patches-genesys-swe-promptnixpkgs-security-patches
nixpkgs-security-patches
Training dataset for fine-tuning LLMs on nixpkgs security patch generation. Derived from real merged security PRs in NixOS/nixpkgs.
Dataset Details
588 training examples / 66 eval examples (654 total)
Format: Multi-turn tool-calling conversations in ChatML JSONL
Each example is a realistic agent session: the model reads the package file, finds the upstream fix, computes hashes via tools, and submits the fix for approval
Hashes and URLs appear… See the full description on the dataset page: https://huggingface.co/datasets/odoom/nixpkgs-security-patches.github-patches-debug-genesysimport re
import json
from datasets import load_dataset
PROMPT_TEMPLATE = """\
We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
{issue}
--- END ISSUE ---
Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
{file_context}
--- END FILES ---
Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format… See the full description on the dataset page: https://huggingface.co/datasets/rasdani/github-patches-debug-genesys.github-patches-genesys-swe-prompt-4k-context-1k-diffgithub-patches-10k-sample-sortedgithub-patches-genesys-agentless-prompt-2k-context-1k-diffgithub-patches-genesys-2k-context-1k-diffgithub-patches-debugimport re
import json
from datasets import load_dataset
PROMPT_TEMPLATE = """\
We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
{issue}
--- END ISSUE ---
Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
{file_context}
--- END FILES ---
Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format… See the full description on the dataset page: https://huggingface.co/datasets/rasdani/github-patches-debug.patches300-2sentinel2-patchesambient-o-clip-iqa-patches-imagenet
Ambient Diffusion Omni (Ambient-o): Training Good Models with Bad Data
Dataset Description
Ambient Diffusion Omni (Ambient-o) is a framework for using low-quality, synthetic, and out-of-distribution images to improve the quality of diffusion models. Unlike traditional approaches that rely on highly curated datasets, Ambient-o extracts valuable signal from all available images during training, including data typically discarded as "low-quality."
This dataset card is for… See the full description on the dataset page: https://huggingface.co/datasets/adrianrm/ambient-o-clip-iqa-patches-imagenet.