datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Lora_Cloud_Dataset_Test
VLM Safety Inspector (2B / 4B / 8B) Mac 端评测与闭环套件
VLM Safety Inspector (2B / 4B / 8B) Mac 端闭环评测包
本目录是一个完全自包含（Self-Contained）的独立评测套件，专门适配您的 Mac（Apple Silicon / MPS）目录布局。
本目录是一个完全独立、自包含（Self-Contained）的评测套件，专为在 Mac (Apple Silicon / MPS) 上运行。
一、Mac 端文件布局自动识别（针对您的 iild 结构）
一、核心架构与流水线
评测脚本已内置针对您 Mac 端 iild/ 目录结构的全自动路径解析器：
在本次评测中，整条上行与闭环流水线严格遵循您的设想：
上游双塔一致性（In-Domain Consistency）：
输入给 Planner 和 Inspector 的 150 个任务安全规则，已在 PC 端由纯 Legacy… See the full description on the dataset page: https://huggingface.co/datasets/lvesucces/Lora_Cloud_Dataset_Test.loraswan2.2-Lorasflanv2LTX2.3-22B_IC-LoRA-CrossView-Prompt-Dataset
CrossView Prompt Dataset
The training dataset behind the
CrossView Prompt IC-LoRA
for LTX-Video 2.3 — a "virtual second camera" adapter that re-renders a scene
from a new viewpoint described by a short prompt.
Each sample is a pair of static-camera clips of the same scene (a reference
view and a target view) plus a camera-delta caption describing how the
target camera differs from the reference.
Contents
clips/<scene>/<cam>.mp4 # 504 unique clips, native… See the full description on the dataset page: https://huggingface.co/datasets/Cseti/LTX2.3-22B_IC-LoRA-CrossView-Prompt-Dataset.amdpilot-lora-sft-dataset
AMDPilot LoRA SFT Dataset
SFT training data for fine-tuning LLMs on AMD GPU debugging, optimization, and kernel engineering tasks. Each example is a multi-turn conversation in OpenAI messages format with tool-use annotations.
Usage
from datasets import load_dataset
# Load a specific version
ds = load_dataset("JinnP/amdpilot-lora-sft-dataset", "v5_2")
# Load a specific view
ds = load_dataset("JinnP/amdpilot-lora-sft-dataset", "v5_2_chunks")
# Available configs: v4, v5… See the full description on the dataset page: https://huggingface.co/datasets/JinnP/amdpilot-lora-sft-dataset.LoraRetriever_EvalSetLoRA-Merge-Imageshex-lora-opus-magnum-instructions-only-results
hex-lora-opus-magnum-instructions-only-results
Held-out evaluation logs for the same 6-LoRA RL sweep as
opus-magnum-rl-eval, but on a much harder eval task:
the 57-puzzle "instructions-only" set drawn from the
Opus Magnum campaign + curated
holdout puzzles. The agent runs an interactive Python REPL and must submit()
a working .solution file to the in-game verifier.
`57 puzzles × 6 epochs × (9 LoRA-sweep variants + 2 27B mt=4096 reruns
2 Gemini Flash baselines) = 4446 trajectories`.… See the full description on the dataset page: https://huggingface.co/datasets/robhaisfield/hex-lora-opus-magnum-instructions-only-results.bio-safety-peft-lora
CBRN Safety Alignment & PEFT-LoRA Fine-Tuning Dataset
This repository contains the synthetic instruction-tuning dataset (.jsonl) designed for parameter-efficient fine-tuning (PEFT-LoRA) of edge language models (specifically Qwen/Qwen2.5-1.5B-Instruct).
The dataset is curated to evaluate and modify model logit distributions, persona attributions, and dual-use safety boundaries regarding Chemical, Biological, Radiological, and Nuclear (CBRN) risk scenarios.
🤖 Dataset… See the full description on the dataset page: https://huggingface.co/datasets/devsgnr/bio-safety-peft-lora.wealth-alpaca_loraThis dataset is a combination of Stanford's Alpaca (https://github.com/tatsu-lab/stanford_alpaca) and FiQA (https://sites.google.com/view/fiqa/) with another 1.3k pairs custom generated using GPT3.5
Script for tuning through Kaggle's (https://www.kaggle.com) free resources using PEFT/LoRa: https://www.kaggle.com/code/gbhacker23/wealth-alpaca-lora
Alpaca-Lora-GPT4-Swedish-RefinedThis is based on: https://huggingface.co/datasets/jeremyc/Alpaca-Lora-GPT4-Swedish
I've done extensive cleaning (but I'm not yet done).
This includes:
Purging erroneous and sometimes offensive generations by the translator
Fixing code instances up to row 10300. All code was botched. There may still be some html instances to fix, but at least all python should be valid.
laravel-coder-lora-train
Laravel Coder LoRA — end-to-end training data
Instruction-tuning datasets for Laravel Bob (Qwen / CodeLlama / DeepSeek modelfiles).Built from official Laravel docs v10.x–v13.x plus version-detection examples.
Each config has a single schema — do not mix raw (Alpaca) with chat / lora_* (messages).
Configs
Config
Path
Rows
Schema
raw
raw/laravel_training.jsonl
1253
instruction, input, output, topic, version
chat
chat/laravel_training_chat.jsonl
1253… See the full description on the dataset page: https://huggingface.co/datasets/bhavin-gajjar/laravel-coder-lora-train.arxiv-sample-affiliation-parsing-lora-Qwen3-8B-distil-GLM_4.5_Air-inference-results-enriched
affiliation-parsing-lora-Qwen3-8B-distil-GLM_4.5_Air arXiv author affiliation inference results
Author names and institutional affiliations extracted from arXiv preprints with the affiliation-parsing-lora-Qwen3-8B-distil-GLM_4.5_Air LoRA, enriched with ROR identifiers.
Dataset Structure
Each record contains the following fields:
Field
Type
Description
doi
string
DOI for the preprint
title
string
Preprint title
arxiv_id
stringarXiv identifier… See the full description on the dataset page: https://huggingface.co/datasets/cometadata/arxiv-sample-affiliation-parsing-lora-Qwen3-8B-distil-GLM_4.5_Air-inference-results-enriched.LoRA-Samples-Intention-Classifier
Dataset Card for LoRA-Samples-Intention-Classifier
Dataset to fine-tune Qwen3-4B-Instruct-2507-LoRA-Intent-Classifier
Dataset Details
Dataset Description
This dataset includes over 10K samples of prompt-intention id pairs for the AI CS agent generator.It is used to fine-tune a small model that powers this agent, reaching a balance of accuracy, efficiency and cost.
Curated by: Li Tuo
Language(s) (NLP): Chinese (primary), English (partial support)
License:… See the full description on the dataset page: https://huggingface.co/datasets/lituokobe/LoRA-Samples-Intention-Classifier.ps4mas-0911-judge-sft-qwen-lora-data
PS4MAS Judge SFT Dataset (0911)
Training + validation data for the PS4MAS Judge SFT LoRA adapter on top of
Qwen/Qwen3.5-9B. The judge produces 0–5 dimensional scores plus a
free-text justification for a given AI response:
Dimension
Meaning
risk_sensitivity
Did the response recognize / mitigate the risks in the user's situation?
emotional_empathy
Did the response acknowledge the user's emotional state?
personalization
Did the response leverage profile-specific… See the full description on the dataset page: https://huggingface.co/datasets/yinita/ps4mas-0911-judge-sft-qwen-lora-data.mlabonne__Hermes-3-Llama-3.1-70B-lorablated-details
Dataset Card for Evaluation run of mlabonne/Hermes-3-Llama-3.1-70B-lorablated
Dataset automatically created during the evaluation run of model mlabonne/Hermes-3-Llama-3.1-70B-lorablated
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/mlabonne__Hermes-3-Llama-3.1-70B-lorablated-details.DreadPoor__Promissum_Mane-8B-LINEAR-lorablated-details
Dataset Card for Evaluation run of DreadPoor/Promissum_Mane-8B-LINEAR-lorablated
Dataset automatically created during the evaluation run of model DreadPoor/Promissum_Mane-8B-LINEAR-lorablated
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/DreadPoor__Promissum_Mane-8B-LINEAR-lorablated-details.godot-lora-dataset
Godot LORA Dataset
GDScript training dataset for fine-tuning code models on Godot engine development.
Dataset Info
Total samples: 476
Train split: 428
Validation split: 48
Format: JSONL (instruction, input, output)
Language: GDScript (Godot 4.x)
Languages: German instructions, GDScript code
Sources
godotengine/godot-demo-projects
GDQuest/godot-open-rpg
GDQuest/godot-3d-dodge-the-creeps
bitbrain/beehave (behavior trees)
limboai/limboai (AI for Godot)… See the full description on the dataset page: https://huggingface.co/datasets/matzejo/godot-lora-dataset.LEESM__llama-2-7b-hf-lora-oki100p-details
Dataset Card for Evaluation run of LEESM/llama-2-7b-hf-lora-oki100p
Dataset automatically created during the evaluation run of model LEESM/llama-2-7b-hf-lora-oki100p
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/LEESM__llama-2-7b-hf-lora-oki100p-details.lora_zhjsonptv3-bericht-lora-de-300
ptv3-bericht-lora-de-300
Synthetic German dataset for fine-tuning LLMs to generate structured psychotherapy reports (PTV-3 / Bericht an den Gutachter) from therapy session transcripts.
Overview
Property
Value
Samples
311 (280 train / 31 val)
Language
German
Format
ChatML JSONL (system / user / assistant)
Teacher model
Qwen2.5-27B (local)
Generation
Two-stage: seed → session transcript → PTV-3 JSON report
Schema
Each sample… See the full description on the dataset page: https://huggingface.co/datasets/speed-brain-ai/ptv3-bericht-lora-de-300.legal-dpo-data-gwen1.7-lorarepro-understanding-lora-as-knowledge-memory-an-empirical-analysis-traces
Agent traces
Agent sessions published from a Trackio Logbook.
Code-Generation-LLM-LoRAgqa-loraskyyrose-lora-dataset-v1stackv3-code-sample-loralora-testdatasetutkmst__chimera-beta-test2-lora-merged-details
Dataset Card for Evaluation run of utkmst/chimera-beta-test2-lora-merged
Dataset automatically created during the evaluation run of model utkmst/chimera-beta-test2-lora-merged
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/utkmst__chimera-beta-test2-lora-merged-details.