datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
medical-symptom-triage-conversationalomnimcp_cyber_siem_triage_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_cyber_siem_triage_teaser.triagent
TriAgent: Multi-Agent Committee Predictions for Financial Sentiment
This dataset contains every per-sentence prediction behind TriAgent, a divergence-aware multi-agent routing framework for cost-efficient LLM inference.
Paper (CIKM 2026): doi.org/10.1145/3799682.3839978
arXiv: arxiv.org/abs/2607.19794
Code: github.com/graphuofm/TRIAGENT
Project page: graphuofm.github.io/TRIAGENT
Dataset summary
The dataset holds 25,607 rows across five configurations. For each… See the full description on the dataset page: https://huggingface.co/datasets/dingjiacheng/triagent.latentsig-med-triage-router
LatentSig Medical Triage Router Dataset
1,000 verified medical triage tool-call samples — 500 English + 500 Hinglish — for fine-tuning Small Language Models (SLMs) as structured medical triage routers.
Overview
This dataset trains SLMs (1B–3B parameters) to act as reliable structured tool-callers for clinical medical triage. Given a patient symptom description, the model must:
Select the correct tool from 7 available medical tools
Output a valid JSON tool call… See the full description on the dataset page: https://huggingface.co/datasets/fhai50032/latentsig-med-triage-router.hospital-triage-and-patient-history-data
Hospital Triage and Patient History Data
Tabular dataset of emergency-department triage records and patient history,
suitable for hospital-admission prediction and clinical-tabular LLM
benchmarking.
Source
This is a re-hosted copy of the dataset released by Hong, Haimovich, and
Taylor (Yale) at https://github.com/yaleemmlc/admissionprediction. The data
has been losslessly converted from the original R .RData (via an
intermediate .feather) to Apache Parquet with zstd… See the full description on the dataset page: https://huggingface.co/datasets/kondratevakate/hospital-triage-and-patient-history-data.hw1-paper-triage-multimodal
HW1 Multimodal Paper Triage
Purpose
This dataset supports a classroom exercise in assembling and augmenting multimodal data for a personalized research-paper triage system.
Composition and splits
The dataset begins with 100 original multimodal samples. The original samples were split before augmentation using a fixed random seed and stratification by the binary target.
train: 10,070 samples consisting of 70 training originals and 10,000 augmented… See the full description on the dataset page: https://huggingface.co/datasets/ishaanamahajan/hw1-paper-triage-multimodal.medical-symptom-triage-csvtriageiq-dataset
TriageIQ — Customer Support Ticket Classification Dataset
Synthetic dataset of 2,000 customer support tickets, each labeled with three independent classification axes.
Schema
Each example is a JSON object:
{
"text": "I've been charged twice this month, please refund me ASAP.",
"sentiment": "negative", // positive | neutral | negative
"urgency": "high", // low | medium | high
"category": "billing" // billing | technical |… See the full description on the dataset page: https://huggingface.co/datasets/coldstart88/triageiq-dataset.triage-bench
TriageBench: Judging Intervention Priority
TriageBench provides LLM-council judgments of which steps to repair first in failed multi-agent executions. It extends Who&When with candidate rankings, individual judgments, short rationales, and ranking uncertainty, alongside the original decisive-error labels.
This is the dataset accompanying TRIAGE: Severity-Ranked Multi-Agent Failure Attribution, by Xizhi Wang, accepted to AACL 2026 (Main Conference). TRIAGE code is available on… See the full description on the dataset page: https://huggingface.co/datasets/jimmywang585/triage-bench.emgena_python_distributed_celery_rabbitmq_triage_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_python_distributed_celery_rabbitmq_triage_teaser.medical-symptom-triageemail-triage-action-seed
Email Triage Action Seed
A small, fully-synthetic seed dataset for fine-tuning small (3–5B) language models on action-oriented email triage — classifying an inbox message into a category, priority, and the actionable decision a triage assistant should take.
The schema goes beyond classification: it asks the model to choose what to do with each email, not just what bucket it falls into.
Schema
Every row is one labelled email with five core fields:
Field
Allowed… See the full description on the dataset page: https://huggingface.co/datasets/weijianzhg/email-triage-action-seed.kafka_schema_registry_deadletter_triage_teaser
🚀 DataOps - Kafka Streaming, Schema Registry Incompatibility & Dead-Letter Triage (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Multi-Turn Scenarios)🏆 Get the Full Production Package (166 Samples) & Commercial EULA on Gumroad:👉 DataOps - Kafka Streaming, Schema Registry Incompatibility & Dead-Letter Triage on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout!
📦 What is Inside the Full Production Package:
166 Verified FAANG… See the full description on the dataset page: https://huggingface.co/datasets/emgena/kafka_schema_registry_deadletter_triage_teaser.omnimcp_mcp_brave_web_search_triage_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/omnimcp_mcp_brave_web_search_triage_teaser.emgena_cloud_gcp_workload_identity_federation_triage_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_cloud_gcp_workload_identity_federation_triage_teaser.vulnerability-triage
VULNERABILITY_TRIAGE
A preference dataset for VULNERABILITY_TRIAGE, harvested from real, human-labelled sources and curated by an automated harvesting harness with an LLM quality gate.
Format
Standard preference / DPO schema — each row:
column
meaning
prompt
the request (originally prompt)
chosen
the human-preferred response
rejected
a worse response to the same prompt
source
the dataset/URL the row was harvested from
Splits… See the full description on the dataset page: https://huggingface.co/datasets/316usman/vulnerability-triage.emgena_k8s_crashloop_incident_triage_teaser
🔬 INSPECT THE DEEPSEEK-R1 REASONING CHAIN LIVE:
Zero hallucinations. Null syntax errors. 100% AST compiler validated.🌐 Live Interactive Reasoning & Code Inspector: https://emgena.com/trainingslager🎁 Claim your Free Starter Kit (Code: STARTER100): https://emgena.com/trainingslager🏷️ Launch Discount: Get 20 € OFF any 500-incident production suite with code LAUNCH20!
📜 Enterprise Compliance: EU AI Act Articles 50 & 53 certified • 100% DSGVO / GDPR clean • Commercial EULA… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_k8s_crashloop_incident_triage_teaser.agent-traces-customer-support-triage
Agent Traces: customer-support-triage
Synthetic multi-agent workflow traces with LLM-enriched content for the customer-support-triage domain.
Part of the juliensimon/open-agent-traces collection — 10 datasets covering diverse domains and workflow patterns.
What is this dataset?
This dataset contains 1,483 events across 50 workflow runs, each representing a complete multi-agent execution trace. Every trace includes:
Agent reasoning — chain-of-thought for each agent step… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/agent-traces-customer-support-triage.medical-symptom-triage-structuredbfsi-transaction-triage-curated-600
🚀 BFSI / FinTech Tier-1 Autonomous Transaction Triage & Regulatory Disputes
This dataset contains 600 curated training records with in-depth, verbose 4-phase <Thinking> Chain-of-Thought reasoning, 100 frozen evaluation benchmark samples, and 50 frozen regression verification samples formatted in standard ChatML (messages) and Prompt-Target pairs, strictly following the Pioneer / Prometheus research paper 3-slice curriculum design.
📊 Dataset Composition & 3-Slice… See the full description on the dataset page: https://huggingface.co/datasets/StarsMakeGalaxy/bfsi-transaction-triage-curated-600.triage
Dataset Card for "triage"
More Information needed
vllm_sglang_inference_deployment_triage_teaser
🚀 Cloud Infrastructure - Local LLM Inference & vLLM/SGLang Deployment Triage (Evaluation Teaser)
⚡ Official Free Evaluation Teaser (50 Verified Multi-Turn Scenarios)🏆 Get the Full Production Package (500 Samples) & Commercial EULA on Gumroad:👉 Cloud Infrastructure - Local LLM Inference & vLLM/SGLang Deployment Triage on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout!
📦 What is Inside the Full Production Package:
500 Verified FAANG v2.0… See the full description on the dataset page: https://huggingface.co/datasets/emgena/vllm_sglang_inference_deployment_triage_teaser.toy_triage_inboxtriage_transcriptions
Medical Triage Transcriptions Dataset
Credits and Acknowledgments
This dataset is based on the original NLie2/TRIAGE dataset. We thank the original creators for providing the foundational triage classification data that enabled this synthetic transcription generation.
Original Dataset: NLie2/TRIAGELicense: Please refer to the original dataset license
Dataset Description
This dataset contains synthetic medical triage transcriptions generated from the… See the full description on the dataset page: https://huggingface.co/datasets/yuriyvnv/triage_transcriptions.triage_llama_3_8b_instruct_actsci-triage-scenarios
CI-Triage Scenarios
A corpus of CI-failure scenarios for the CI-Triage-Env OpenEnv RL environment.
Generated from public OSS CI logs (anonymized) and open-license datasets
(DeFlaker, iDFlakies, FlakeFlagger, LogHub).
Splits
Split
Count
Notes
train
419
Unambiguous families only
val
89
Unambiguous families only
held_out
241
Includes ALL ambiguous instances (calibration probe)
Schema
Each row contains:
scenario_id (string): unique identifier… See the full description on the dataset page: https://huggingface.co/datasets/Prasham1710/ci-triage-scenarios.triage_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "franka",
"total_episodes": 11,
"total_frames": 8765,
"total_tasks":1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:11"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/LSY-lab/triage_v2.triage_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "franka",
"total_episodes": 11,
"total_frames": 8765,
"total_tasks": 1,
"chunks_size": 1000,
"fps": 15,
"splits": {
"train": "0:11"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"features": {… See the full description on the dataset page: https://huggingface.co/datasets/EtoUbivaetMnya1997/triage_v2.triage-synthetic-data-v1medassistant-ru-triage
МедАссистент: датасет для маршрутизации жалоб пациентов
Описание задачи
Датасет для дообучения (SFT) и обучения классификаторов, определяющих медицинскую
специализацию по тексту жалобы пациента на русском языке. Классы — 12 специализаций (spec10).
Процесс генерации
Источник реальных данных: blinoff/medical_qa_ru_data; очистка + дедупликация (хеш, MinHash, семантика на intfloat/multilingual-e5-base).
Синтетика (Self-Instruct): локальная LLM… See the full description on the dataset page: https://huggingface.co/datasets/ermaksxc/medassistant-ru-triage.