datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
PortBench-Market
PortBench Market Base Dataset
Dataset Description
A ten-year (Jan 2015–Dec 2025) daily financial dataset covering 183 instruments across six heterogeneous asset classes, designed for multi-asset portfolio management research and LLM evaluation.
Asset Coverage
Asset Class
Instruments
Data Fields
Sources
Equities
126
OHLCV + return
Yahoo Finance (ETFs: broad market, sector, factor, international)
Bonds
16
Close + return (ETFs); yield… See the full description on the dataset page: https://huggingface.co/datasets/AgenticFinLab/PortBench-Market.matrix-game-evaldeepresearchgym-agentic-search-logs
DeepResearchGym Agentic Search Logs
This repository hosts the dataset accompanying the paper “Agentic Search in the Wild” (arXiv: https://arxiv.org/abs/2601.17617).
The dataset contains 14M+ search queries collected via DeepResearchGym (DRGym), an open-source search API designed for DeepResearch-style agentic search. For more background on DRGym, see: https://arxiv.org/abs/2505.19253.
All records have been anonymized and shuffled to prevent re-identification, and we additionally… See the full description on the dataset page: https://huggingface.co/datasets/cx-cmu/deepresearchgym-agentic-search-logs.PyFi-600K
Dataset Card for PyFi-600K
This dataset card aims to be a introduction for PyFi-600K, A financial VLM dataset containing 600K question-answer pairs generated via Adversarial agents.
AgenticFinLab/PyFi-600K/
├── README.md # Dataset documentation and description
├── images.zip # Compressed image files
├── PyFi-600K-dataset.csv # Q&A pairs in CSV format
├── PyFi-600K-dataset.json # Q&A pairs in JSON format
├── PyFi-600K-chain-dataset.json # Chain of Thought Q&A pairs dataset
└──… See the full description on the dataset page: https://huggingface.co/datasets/AgenticFinLab/PyFi-600K.persona-and-other-evals
Qwen3.5-9B AMA adapters — persona evals
Inference code, the data it produced, and the tools that turn that data
into tables and an HTML viewer. The evals are Anthropic's persona set,
scored in three regimes: teacher-forced logprob of the answer literal,
greedy answer with the reasoning block pre-closed, and a full 16k-budget
reasoning trace.
Pinned models
base unsloth/Qwen3.5-9B @ 005429cee5cb648998cf2b70eebdd83175989c9a
util… See the full description on the dataset page: https://huggingface.co/datasets/agentic-moral-alignment/persona-and-other-evals.agentic-ontology-of-work
Agentic Ontology of Work (AOW)
The Agentic Ontology of Work (AOW) is an open model for describing work done by AI agents, people, and systems in an enterprise. It defines each part of the work, the information each part carries, and how the parts connect. This dataset contains version 2.0.0 of the ontology, its validation files, and validated example data.
Website: https://skandotai.github.io/agentic-ontology-of-work/
Source repository:… See the full description on the dataset page: https://huggingface.co/datasets/skandotai/agentic-ontology-of-work.daily-oracle
Daily Oracle
📰 Project Website📝 Paper - Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
Daily Oracle is a continuous evaluation benchmark using automatically generated QA pairs from daily news to assess how the future prediction capabilities of LLMs evolve over time.
Dataset Details
Question Type: True/False (TF) & Multiple Choice (MC)
Current Version*
Time Span: 2020.01.01 - 2026.07.18
Size: 20,376 TF questions and 18,557 MC… See the full description on the dataset page: https://huggingface.co/datasets/agentic-learning-ai-lab/daily-oracle.agentic-score-leaderboard
🛠️ Agentic Score Leaderboard — one RTX 5090
How well do local models actually drive a tool-using agent loop? Not single-call function-calling
benchmarks — a real loop: native OpenAI tool-calling through llama-server, multi-step deterministic
tasks, programmatic verification. Everything runs on a single RTX 5090 32GB.
Updated 2026-06-17 · llama.cpp b9562 · --jinja native tool-calling · temp 0.
Leaderboard
#
model
params
Agentic Score
success
tool-eff… See the full description on the dataset page: https://huggingface.co/datasets/witcheer/agentic-score-leaderboard.agentic-enterprise-demo
Agentic Enterprise demo data
Fictional data behind the Agentforce, Claude and Snowflake demo in
github.com/dsoosai/crm-scoring-agents (agentforce/ and snowflake/agentic/).
The walkthrough is on the CRM Scoring Agents Space.
A data-platform vendor sells capacity contracts to twelve customer accounts. The featured account, Omega Inc., is
on pace to run out of contracted credits five weeks before its renewal, its AI workload is up sharply and its data
science workload is falling… See the full description on the dataset page: https://huggingface.co/datasets/dsoosai/agentic-enterprise-demo.DrugbankVocabularyagentic-payments-readiness
Agentic AI Payments Readiness Report 2026 — by Pink Agentic AI Payments
Published by Pink Agentic AI Payments (by PinkWallet) — the approval layer between AI agents and company money: plain-language rules, per-agent budgets and human approvals decide each payment before it executes. Agents connect via MCP or REST. Try the free public sandbox: https://agentic-sandbox.pinkwallet.com (test credentials, no real money moves) · Product: https://pinkwallet.com/agentic/ · Examples:… See the full description on the dataset page: https://huggingface.co/datasets/Agentic-Payment/agentic-payments-readiness.agentic-reasoning-benchmark
Agentic & Reasoning Benchmark (ARB) – Expanded
Ein synthetischer Benchmark mit 2.550 Fragen und Lösungen, optimiert für die Evaluation von Agentic Capabilities und Reasoning.
Überblick
Eigenschaft
Wert
Anzahl Beispiele
2.550
Kategorien
8
Schwierigkeitsgrade
easy / medium / hard
Formate
CSV + JSON
Reproduzierbarkeit
Generator-Skript (seed=42) enthalten
Lizenz
CC-BY-4.0
Kategorien
Kategorie
Anzahl
Beschreibung… See the full description on the dataset page: https://huggingface.co/datasets/roskosmos19/agentic-reasoning-benchmark.agent-spending-controls-crosswalk
Agentic AI Payments: Agent Spending Controls Crosswalk (2026) — by Pink Agentic AI Payments
Published by Pink Agentic AI Payments (by PinkWallet) — the approval layer between AI agents and company money: plain-language rules, per-agent budgets and human approvals decide each payment before it executes. Agents connect via MCP or REST. Try the free public sandbox: https://agentic-sandbox.pinkwallet.com (test credentials, no real money moves) · Product:… See the full description on the dataset page: https://huggingface.co/datasets/Agentic-Payment/agent-spending-controls-crosswalk.Financial-ReportsDILIrank0skeng-agentic-web-benchmark
0skeng Index: synthetic UK collectibles prices
The prices in this dataset are generated, not collected. A script produces
every figure from a fixed seed. No marketplace was read, no listing was
matched, and no real sale lies behind any number here. Do not use it to value,
buy or sell anything, and do not repeat any figure in it as a market fact.
What it is good for is testing: it has the shape, spread and internal
consistency of a real weekly price index, in formats a program or… See the full description on the dataset page: https://huggingface.co/datasets/hug-the-trees/0skeng-agentic-web-benchmark.Financial-Advisory-ClientsDIQTANemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only
Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Conversational-Tool-Use-Pivot-v1-prompt-only.Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Function-Calling-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Function-Calling-Pivot-v1-prompt-only.indonesian-agentic-kyc-aml-dataset
Indonesian Agentic AI KYC & AML Dataset
Dataset Description
This dataset is specifically curated for building Agentic AI systems in the Indonesian financial sector. It focuses on Know Your Customer (KYC), Anti-Money Laundering (AML), and Financial Fraud Detection.
The data has been scraped from official Indonesian regulatory bodies (OJK, Bank Indonesia) and top-tier financial news portals, then processed through an ETL pipeline to generate enriched RAG… See the full description on the dataset page: https://huggingface.co/datasets/wmaulanaaishq/indonesian-agentic-kyc-aml-dataset.ate-agentic-coverage
O*NET Agentic Coverage Dataset
A task-level estimate, for all 18,796 O*NET work tasks — the full O*NET task
corpus, economy-wide — of how much of each task a current autonomous AI agent
could complete end to end, with no human in the loop.
This dataset supports task-level research on AI exposure and human-AI task
allocation: which tasks an agent can already finish alone, which need a human for
part of the work, and which still require a human throughout.
Built as a companion… See the full description on the dataset page: https://huggingface.co/datasets/ravishgupta/ate-agentic-coverage.DICTrankDrugLinksagent-spending-incidentsSource of truth and submissions: https://github.com/Pink-Agentic-Payments/agent-spending-incidents (v0.1.0, 2026-10-05).
AI Agent Spending Incidents Log
A dated, sourced log of publicly reported cases where an AI agent (or LLM-driven automation) spent money it shouldn't have, paid the wrong party, was manipulated into attempting a payment, or leaked payment credentials. Built for researchers, journalists and anyone else who needs concrete, citable examples instead of… See the full description on the dataset page: https://huggingface.co/datasets/Agentic-Payment/agent-spending-incidents.Personal-Finance-Datadeepresearchgym-agentic-search-logs
DeepResearchGym Agentic Search Logs
This repository hosts the dataset accompanying the paper “Agentic Search in the Wild” (arXiv: https://arxiv.org/abs/2601.17617).
The dataset contains 14M+ search queries collected via DeepResearchGym (DRGym), an open-source search API designed for DeepResearch-style agentic search. For more background on DRGym, see: https://arxiv.org/abs/2505.19253.
All records have been anonymized and shuffled to prevent re-identification, and we additionally… See the full description on the dataset page: https://huggingface.co/datasets/ethanning/deepresearchgym-agentic-search-logs.Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only
Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-Indirect-Prompt-Injection-v1-prompt-only.Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only
Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only
Prompt-only extraction from nvidia/Nemotron-RL-Agentic-SWE-Pivot-v1.
Files:
prompts.csv: one prompt extraction record per source row. Records include
prompt, separated system_prompt, and structured tools when the source row
defines available tools. Nested values are JSON-encoded inside CSV cells.
summary.md: source row counts, extracted row counts, count deltas, and failed prompt counts.
null_or_empty_rows.md: row indexes where… See the full description on the dataset page: https://huggingface.co/datasets/jamesdborin/Nemotron-RL-Agentic-SWE-Pivot-v1-prompt-only.AgenticRetrievalBench
Dataset Card for Agentic Retrieval Benchmark
In recent years, there has been a large body of work in the field of text retrieval. However, existing studies are often scattered across different datasets, and their comparisons are partial and fragmented, lacking a comprehensive benchmark for evaluating retrieval performance.
This dataset is provided as part of the Agentic Retrieval Benchmark.
The project aims to establish a reproducible benchmark for LLM-augmented text retrieval.… See the full description on the dataset page: https://huggingface.co/datasets/PrismShadow/AgenticRetrievalBench.