datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agentic-ai-options-resultsTR-HASH-Agentic-SFT-32K-210K
TR-HASH Agentic SFT 32K
Balanced instruction and tool-use SFT data for
AETHORIA-AI/TR-HASH-Tokenizer-32K-Agentic.
The canonical repository name is retained, while its contents replace the former
tool-heavy 21K laboratory corpus.
Composition
Split
General instruction
Tool-aware
Total
Train
182,000
18,000
200,000
Validation
9,000
1,000
10,000
The 9% tool-aware training slice contains tool calls, no-call decisions with
tools present, and final… See the full description on the dataset page: https://huggingface.co/datasets/AETHORIA-AI/TR-HASH-Agentic-SFT-32K-210K.Got_Agentic_AI_5k
Got_Agentic_AI_5k
A 5,000-example dataset to train LLMs into production-grade agentic assistants (“Angelic Agents”): high-agency, tool-aware, test-driven, and safety-first.
This dataset focuses on the kinds of tasks real engineering teams and major AI developers care about:
Diff-first coding patches and tests
Planner–executor agent architectures
Evals, monitoring, and rollback discipline
Data engineering transforms with quality checks
Incident postmortems and operational… See the full description on the dataset page: https://huggingface.co/datasets/11-47/Got_Agentic_AI_5k.hendar-agentic-ai-dataset
Hendar Agentic AI Evaluation & Security Benchmark
A compact, expert-authored benchmark for evaluating trustworthy agentic AI systems across capability, tool use, retrieval, security, policy enforcement, multi-agent coordination and regression safety.
This dataset is a public companion to the Agentic AI Academy by Hendar Mawan, PhD. It is designed for evaluation, CI regression testing, red-team exercises and engineering education—not as a generic instruction-tuning corpus.… See the full description on the dataset page: https://huggingface.co/datasets/h0000w/hendar-agentic-ai-dataset.Alexander-Agentic
A dataset for creating agentic models
Dataset Summary
Alexander-Agentic contains agentic traces generated by frontier models, extracted using AI harnesses such as Pi, Codex, and Claude Code. Each example is formatted following the Transformers messages schema, ready for fine-tuning agentic models.
Domains covered: coding, research, tool use, etc.
Source harnesses: Pi, Codex, Claude Code
Format: OpenAI/Transformers messages schema
Dataset Structure… See the full description on the dataset page: https://huggingface.co/datasets/Aquiles-ai/Alexander-Agentic.APP1-Agentic-Safety-SFT-Dataentity-classification-agentic-ai
Entity Classification for Agentic AI Systems
This dataset contains 12,497 samples for entity classification in agentic AI systems.
Splits
train.json: 8,747 samples
validation.json: 1,250 samples
test.json: 2,500 samples
Entity Types
Agent, Task, Tool, Input, Output, Human
Usage
from datasets import load_dataset
dataset = load_dataset("holistic-ai/entity-classification-agentic-ai")
Fields
content: Text to classify
expected_entity:… See the full description on the dataset page: https://huggingface.co/datasets/holistic-ai/entity-classification-agentic-ai.pararev-casimir-compound-fixed
ParaRev Full-Context Paragraph Revision Dataset
Overview
This dataset provides paragraph-level revision pairs with access to the full scientific article context.
Each sample includes a full article, a selected paragraph, its revised version, and an instruction prompt, supporting long-context academic revision tasks.
Data Sources
This dataset is derived from publicly available academic datasets:
CASIMIR: multi-version scientific articles used to reconstruct… See the full description on the dataset page: https://huggingface.co/datasets/Edinburgh-AgenticAI/pararev-casimir-compound-fixed.qwen-agentic-json-thinkingagentic-ai-eval
Introduction
Limitus has developed an AI agent designed to tackle complex planning tasks that involve both sequential and parallel actions. To ensure its effectiveness, we aim to rigorously evaluate the agent through a carefully designed benchmarking process. This benchmark will assess the agent's ability to handle a wide variety of tasks requiring sophisticated planning and optimization strategies.
Benchmark Design
To evaluate the agent's proficiency, we propose the… See the full description on the dataset page: https://huggingface.co/datasets/Limitus/agentic-ai-eval.