datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cc12m_openai_clip-vit-base-patch32_image_image_retrieval_pairs_2022-09-13mscoco_train_2014_openai_clip-vit-base-patch32_image_image_retrieval_pairs_2022-09-13cc12m_openai_clip-vit-base-patch32_image_image_retrieval_pairs_2022-09-15Patchnoisseur
Patchnoisseur
A connoisseur's cellar of CVEs: every NVD CVE joined to its fixing-commit
diff (when one could be found), its NVD description, and its
associated CWE(s) (id, name, short description) — served as a single
Parquet dataset.
351 884 CVEs · 25 015 with a real git diff attached · CVE-1999 → CVE-2026
· ~744 MB on disk (zstd-compressed Parquet, sharded ~300 MB each).
What's in it
One row per CVE in the NVD feed. CVEs without a retrievable patch are… See the full description on the dataset page: https://huggingface.co/datasets/michoo42/Patchnoisseur.ny_test_grab_patched_wire_40This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v2.1",
"robot_type": "sam_evt2",
"total_episodes": 40,
"total_frames": 22666,
"total_tasks": 1,
"total_videos": 160,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 60,
"splits": {
"train": "0:40"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/1g0rrr/ny_test_grab_patched_wire_40.rectangular-patch-antenna-freq-response
Rectangular Patch Antenna Frequency Response Dataset
Simulated S₁₁ frequency response curves for coaxial-fed rectangular patch antennas with varying dimensions and feed positions.
This dataset was released as part of LaBash et al., "Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization".
Dataset Description
Coaxial-fed rectangular patch antennas consist of a feed pin that passes through the ground plane to a metallic patch on a… See the full description on the dataset page: https://huggingface.co/datasets/becklabash/rectangular-patch-antenna-freq-response.selected_hovernet_patchesmscoco_train_2014_openai_clip-vit-base-patch32_image_caption_retrieval_pairs_2022-09-0132b_swebv_26rollouts_patch_verifierrustbench-single-file-patch-only
RustBench Single File Patch Only
This dataset is the subset of user2f86/rustbench where the golden code patch in patch edits exactly one file.
Source dataset: user2f86/rustbench
Source split: train
Source instances: 500
Subset instances: 195
Criterion: the set of files touched by patch has size 1
The dataset retains the original columns and adds:
gold_solution_files
gold_solution_file_count
security-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.flickr30k_openai_clip-vit-base-patch32_image_image_retrieval_pairs_2022-09-14github-patches-genesys-swe-prompt-2k-context-1k-diffmscoco_train_2014_openai_clip-vit-base-patch32_image_image_retrieval_pairs_2022-09-15github-patches-genesys-swe-prompt-4k-context-1k-diffgithub-patches-genesys-4k-context-1k-diffprompts < 4096 Qwen3 tokens
golden_diff < 1024 Qwen3 tokens
Miriad-Tooluse-Prompts-StratifiedKFold-View-Patch-1github-patches-genesys-agentless-prompt-2k-context-1k-diffambient-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.remote-ai-evaluation-training-market-snapshot
Dataset Description
This is an aggregate August 22, 2026 research snapshot from Specialist AI Work, an independent PatchMedia tracker of reviewed remote AI evaluation, AI training, data annotation-adjacent, and expert-review opportunities.
The live Specialist AI Work inventory has advanced since this snapshot. The counts in this repository describe the immutable August 22 research object; they are not a claim about today's inventory.
Reporting date: 2026-08-22
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/patchmedia-org/remote-ai-evaluation-training-market-snapshot.github-patches-genesys-2k-context-1k-diffcascade-multi-ai-redteam-miss-exploit-patch-trust-collapse-v0.1
What this repo does
This dataset tests whether a model can detect a security cascade in AI deployment.
You provide structured signals about:
red-team coverage and disclosure
exploitability and incident rate
patch latency and rollout friction
downstream dependency depth
trust decay and regulatory attention
The model predicts whether the interaction crosses into a cascade event.
Core quad
The structural quad inside this cascade:
red_team_coverage
exploitability_index… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/cascade-multi-ai-redteam-miss-exploit-patch-trust-collapse-v0.1.DCFT-swe_gym_annotate_with_patch-etash_eval_1742396870_9c11sentinel2-patches32b_swebv_26rollouts_patch_verifier_thought_action_wo_THOUGHTgithub-patches-genesys-agentless-prompt-2k-context-1k-diff-2k-examples32b_swebv_26rollouts_patch_verifier_thought_action_wo_ACTION32b_swebv_26rollouts_patch_verifier_thought_action_wo_STEPpatched_test_p_10_m1_predictions_v2
Dataset Card for "patched_test_p_10_m1_predictions_v2"
More Information needed
rectangular-patch-antenna-freq-response
Rectangular Patch Antenna Frequency Response Dataset
Simulated S₁₁ frequency response curves for coaxial-fed rectangular patch antennas with varying dimensions and feed positions.
This dataset was released as part of LaBash et al., "Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization".
Dataset Description
Coaxial-fed rectangular patch antennas consist of a feed pin that passes through the ground plane to a metallic patch on a… See the full description on the dataset page: https://huggingface.co/datasets/21wqsaxzzxsa/rectangular-patch-antenna-freq-response.