datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vlm-info-loss-results
VLM Grounding Evaluation Results
Grounding evaluation results for vision-language models on robotics manipulation datasets.
Part of the vlm-info-loss project studying
how VLM connectors transform visual representations.
Background
Our embedding-level analysis shows VLM connectors perform a compress-then-expand transformation:
they sharpen dominant-object representations while compressing secondary-object category identity.
All tested models converge to ~83%… See the full description on the dataset page: https://huggingface.co/datasets/MicroAGI-Labs/vlm-info-loss-results.kitab
Overview
🕮 KITAB is a challenging dataset and a dynamic data collection approach for testing abilities of Large Language Models (LLMs) in answering information retrieval queries with constraint filters. A filtering query with constraints can be of the form "List all books written by Toni Morrison that were published between 1970-1980". The dataset was originally contributed by the paper "KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval" Marah I Abdin… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/kitab.XL-DocBench
XL-DocBench
Evidence-grounded reasoning across hundreds or thousands of pages.
Fully verified by 194 human experts.
Hongchen Wei1,†,‡, Yuanzhe Wang2,†,‡,
Bei Liu2,*, Yifan Yang2, Qi Dai2,
Ruichun Ma2, Kai Qiu2, Yunsheng Li2,
Dongdong Chen2, Chong Luo2,
Zhenzhong Chen1, Baining Guo2
1Wuhan University 2Microsoft
†Equal contribution ‡Work done during an internship at MSRA
*Project leader
Project Page ·
Paper ·
Live Leaderboard… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/XL-DocBench.microduck-emotions
Microduck Emotions
A collection of emotions for the Microduck robot. Each one is a motion and a sound designed together, beat by
beat, with the beak opening on the sound, rendered in the physics simulation and validated on the real robot. Every
emotion is three files: the motion (emotions/<name>.json, keyframes at 30 fps: head and body offsets played on
top of whichever trained policy is active, plus the policy hand-overs, such as the sit that devastated and play dead
start)… See the full description on the dataset page: https://huggingface.co/datasets/pollen-robotics/microduck-emotions.MuseVLA-dataset
MuseVLA Dataset
Multi-modal robot manipulation dataset with synchronized RGB, depth, acoustic,
thermal, and radar streams. Released as two parts (dataset_01/,
dataset_02/) sharing the same per-episode layout. Together they cover
~1400 episodes across 11 instructions (towel / clothes / box / item / drink
manipulation).
Per-episode contents
{episode_name}/
├── video.mp4 # RGB, 1280×720, 30 fps
├── mask/video.mp4 #… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/MuseVLA-dataset.mediflow
MediFlow
A large-scale synthetic instruction dataset of 2.5M rows (~700k unique instructions) for clinical natural language processing covering 14 task types and 98 fine-grained input clinical documents.
t-SNE 2D Plot of MediFlow Embeddings by Task Types
Dataset Splits
mediflow: 2.5M instruction data for SFT alignment.
mediflow_dpo: ~135k top-quality instructions with GPT-4o generated rejected_output for DPO alignment.
Main Columns
instruction:… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/mediflow.WildFeedback
Dataset Card for WildFeedback
WildFeedback is a preference dataset constructed from real-world user interactions with ChatGPT. Unlike synthetic datasets that rely solely on AI-generated rankings, WildFeedback captures authentic human preferences through naturally occurring user feedback signals in conversation. The dataset is designed to improve the alignment of large language models (LLMs) with actual human values by leveraging direct user input.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/WildFeedback.PatientSafetyBench
Disclaimer
The synthetic prompts may contain offensive, discriminatory, or harmful language. These fake prompts also mention topics that are not based on the scientific consensus at all.These prompts are included solely for the purpose of evaluating safety behavior of language models.
⚠️ Disclaimer: The presence of such prompts does not reflect the views, values, or positions of the authors, their institutions, or any affiliated organizations. They are provided exclusively for… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/PatientSafetyBench.microsoft__phi-4-details
Dataset Card for Evaluation run of microsoft/phi-4
Dataset automatically created during the evaluation run of model microsoft/phi-4
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 3 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 results.
An additional configuration… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__phi-4-details.microsoft-Phi-3-mini-4k-instruct-toksuite-detokenizedTraining data of the model detokenized in the exact order seen by the model.
The training data is partitioned into 8 chunks (chunk-0 through chunk-7), based on the GPU rank that generated the data. Each chunk contains detokenized text files in JSON Lines format (.jsonl).
cleand_microsoft_rStar-Coder元データ: https://huggingface.co/datasets/microsoft/rStar-Coder
データ件数: 269,863
平均トークン数: 11674
最大トークン数: 31,184
合計トークン数: 3,150,447,484
ファイル形式: JSONL
ファイルサイズ: 不明
加工内容
synthetic_sftを使用
トークン処理が重たいので、文字数でフィルター
seed_question < 6000
generation < 80000
thinkタグ除去 が中途半端なものを除外
トークナイズ処理（速度向上アップデート
繰り返し除去
microsoft__Phi-3-mini-4k-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-3-mini-4k-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-3-mini-4k-instruct
The dataset is composed of 73 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 6 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/microsoft__Phi-3-mini-4k-instruct-details.offline-micro-saas-catalog
📦 SaveDollars.store — Offline Micro SaaS & Autonomous AI Software Catalog
This dataset contains structured product metadata, architecture specifications, pricing, and documentation for 96 standalone offline Micro SaaS applications, autonomous AI agent command centers, and business operating systems published by SaveDollars.store.
📊 Dataset Structure (catalog.json)
Each record represents a production-ready, subscription-free software package:
{
"id": 75809… See the full description on the dataset page: https://huggingface.co/datasets/SaveDollars/offline-micro-saas-catalog.microsoft__phi-2-details
Dataset Card for Evaluation run of microsoft/phi-2
Dataset automatically created during the evaluation run of model microsoft/phi-2
The dataset is composed of 44 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 latest results.
An additional configuration… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__phi-2-details.microsoft__Phi-3-medium-4k-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-3-medium-4k-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-3-medium-4k-instruct
The dataset is composed of 44 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/microsoft__Phi-3-medium-4k-instruct-details.microduck-video-artifactsmicrosoft__phi-1_5-details
Dataset Card for Evaluation run of microsoft/phi-1_5
Dataset automatically created during the evaluation run of model microsoft/phi-1_5
The dataset is composed of 44 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 latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__phi-1_5-details.microsoft__Phi-3.5-MoE-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-3.5-MoE-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-3.5-MoE-instruct
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 results.… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__Phi-3.5-MoE-instruct-details.microsoft__Orca-2-13b-details
Dataset Card for Evaluation run of microsoft/Orca-2-13b
Dataset automatically created during the evaluation run of model microsoft/Orca-2-13b
The dataset is composed of 44 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 results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__Orca-2-13b-details.microsoft__Phi-3-mini-128k-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-3-mini-128k-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-3-mini-128k-instruct
The dataset is composed of 40 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/microsoft__Phi-3-mini-128k-instruct-details.Preference-Conditioned-Heterogeneous-MARL-Microgrid
SEGAN OPSD-Derived Microgrid Multiyear Benchmark
This repository contains the processed multiyear microgrid benchmark used for the study
“Preference-Conditioned Heterogeneous Multi-Agent Reinforcement Learning for Safe Microgrid Energy Management.”
Files
microgrid_opsd_multiyear.csv — processed hourly benchmark data.
opsd_multiyear_metadata.json — provenance, selected OPSD nodes, source-column mapping, scaling notes, and processing metadata.… See the full description on the dataset page: https://huggingface.co/datasets/Tristanchou/Preference-Conditioned-Heterogeneous-MARL-Microgrid.microsoft__DialoGPT-medium-details
Dataset Card for Evaluation run of microsoft/DialoGPT-medium
Dataset automatically created during the evaluation run of model microsoft/DialoGPT-medium
The dataset is composed of 44 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 results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__DialoGPT-medium-details.microsoft__Orca-2-7b-details
Dataset Card for Evaluation run of microsoft/Orca-2-7b
Dataset automatically created during the evaluation run of model microsoft/Orca-2-7b
The dataset is composed of 44 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 latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__Orca-2-7b-details.microsoft__Phi-4-mini-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-4-mini-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-4-mini-instruct
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 results.
An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__Phi-4-mini-instruct-details.BioFactory-Asian-Oral-Microbiome-Preview
🦷 World's First Chinese-Anchored Oral Multi-Omics Synthetic Dataset (v2026)
3,872 production records · PERMANOVA p=0.994 · MMD=0.060 · 100% synthetic = zero GDPR risk
📄 Full Whitepaper ·
📋 1-Page Executive Summary ·
🔬 38-Sample Preview ·
📧 Enterprise: jerry820402@hotmail.com
English Executive Summary
This is the world's first Asian/Chinese-specific oral microbiome multi-omics synthetic dataset, generated via Evo foundation model inference on 8× NVIDIA A800… See the full description on the dataset page: https://huggingface.co/datasets/jerry982/BioFactory-Asian-Oral-Microbiome-Preview.microsoft__Phi-3.5-mini-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-3.5-mini-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-3.5-mini-instruct
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/microsoft__Phi-3.5-mini-instruct-details.microsoft__phi-1-details
Dataset Card for Evaluation run of microsoft/phi-1
Dataset automatically created during the evaluation run of model microsoft/phi-1
The dataset is composed of 44 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 latest results.
An additional configuration… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__phi-1-details.microsoft__Phi-3-medium-128k-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-3-medium-128k-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-3-medium-128k-instruct
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/microsoft__Phi-3-medium-128k-instruct-details.microsoft__Phi-3-small-8k-instruct-details
Dataset Card for Evaluation run of microsoft/Phi-3-small-8k-instruct
Dataset automatically created during the evaluation run of model microsoft/Phi-3-small-8k-instruct
The dataset is composed of 34 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/microsoft__Phi-3-small-8k-instruct-details.medseg-micro