datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agent-llm-traces-v2
Exgentic Agent LLM Traces v2 — Agent Chat Only
OpenTelemetry-shaped execution traces for 10,057 agent runs across 6 benchmarks (AppWorld, SWE-bench, BrowseCompPlus, τ²-bench Airline/Retail/Telecom), filtered to the agent under test's chat-only LLM calls. This is the dataset for replay testing, behavioral analysis, or any task where you care about what the benchmarked model actually did — not the eval scaffolding around it.
This v2 release expands upon Exgentic/agent-llm-traces… See the full description on the dataset page: https://huggingface.co/datasets/Exgentic/agent-llm-traces-v2.agent-llm-traces
Multi-Benchmark LLM Agent Traces
A comprehensive dataset of OpenTelemetry traces capturing LLM inference behavior across multiple agent frameworks, benchmarks, and model providers. This dataset enables research into LLM performance analysis, agent behavior patterns, and inference optimization.
Collected by Exgentic - A platform for LLM observability and performance optimization.
Dataset Overview
This dataset contains 1,781 execution traces capturing detailed agent… See the full description on the dataset page: https://huggingface.co/datasets/Exgentic/agent-llm-traces.automl_llm_agent_m2
AutoML-LLM Agent Module 2 Benchmark
This dataset contains the Module 2 benchmark for evaluating an assistant that converts a Module 1 recipe, a user request, and a processed tabular dataset into an auditable autogluon.cloud.TabularCloudPredictor configuration.
The repository is scoped to Module 2 only.
Tables
module2_cases: one row per Module 2 evaluation case.
module2_queries: user requests for each case.
module2_reference_configs: legacy reference JSON files… See the full description on the dataset page: https://huggingface.co/datasets/tecnologiactc/automl_llm_agent_m2.automl_llm_agent_m1
AutoML-LLM Agent Module 1 Benchmark
This dataset contains the Module 1 benchmark for evaluating an AutoML assistant that interprets user requests, selects tabular modeling settings, produces an auditable AutoGluon Tabular plan, and synthesizes the compact Module 1 recipe consumed by Module 2 through the mandatory final LLM writer used by all A-E variants.
The repository is scoped to Module 1 only.
Tables
cases: one row per Module 1 evaluation case.
queries: one… See the full description on the dataset page: https://huggingface.co/datasets/tecnologiactc/automl_llm_agent_m1.CriticBench
Dataset Card for Dataset Name
CriticBench is a comprehensive benchmark designed to assess LLMs' abilities to generate, critique/discriminate and correct reasoning across a variety of tasks. CriticBench encompasses five reasoning domains: mathematical, commonsense, symbolic, coding, and algorithmic. It compiles 15 datasets and incorporates responses from three LLM families.
Dataset Details
Dataset Description
Curated by: THU
Funded by [optional]: [More… See the full description on the dataset page: https://huggingface.co/datasets/llm-agents/CriticBench.agent-llm-traces
Multi-Benchmark LLM Agent Traces
A comprehensive dataset of OpenTelemetry traces capturing LLM inference behavior across multiple agent frameworks, benchmarks, and model providers. This dataset enables research into LLM performance analysis, agent behavior patterns, and inference optimization.
Collected by Exgentic - A platform for LLM observability and performance optimization.
Dataset Overview
This dataset contains 1,781 execution traces capturing detailed agent… See the full description on the dataset page: https://huggingface.co/datasets/DiscoPosse/agent-llm-traces.llm-rag-agent-papers
llm-rag-agent-papers
Research papers on LLM, RAG, and AI Agents - Knowledge base for RAG pipeline
Dataset Structure
This dataset contains three subsets:
llm: Large Language Model related content
rag: Retrieval-Augmented Generation related content
agent: AI Agent related content
Usage
from datasets import load_dataset
# Load all subsets
dataset = load_dataset("GXMZU/llm-rag-agent-papers")
# Load specific subset
llm_data =… See the full description on the dataset page: https://huggingface.co/datasets/GXMZU/llm-rag-agent-papers.llm-agent-harness-reliability-next-prime
LLM Next Prime Harness Dataset
This dataset contains raw observations from an experiment studying how the agent harness affects reliability when an LLM has access to a deterministic tool.
The task is deliberately simple and objectively verifiable:
What is the smallest prime number that is strictly greater than n?
The deterministic tool computes the correct answer with a local Python next_prime(n) function. The experiment asks whether failures come from the model, the provider… See the full description on the dataset page: https://huggingface.co/datasets/hoololi/llm-agent-harness-reliability-next-prime.mm-llm-coder-agent-dataset
Coder Agent Dataset
Agent workflow dataset for training coding agents. Contains multi-step coding tasks with tool usage patterns, execution validation, and quality metrics.
Skill Type: Agent/ Skill
This dataset is part of the combined Myanmar LLM dataset collection:
chat-skill.md - [amkyawdev/ myanmar-llm-data](https://huggingface. co/datasets/ amkyawdev/ myanmar-llm-data)
agent-skill.md - Myanmar conversational data, translations, Q&A
code-skill.md- [amkyawdev/… See the full description on the dataset page: https://huggingface.co/datasets/amkyawdev/mm-llm-coder-agent-dataset.ECHO-Terminal-Agent-Prepared-Data
ECHO-style Terminal Agent Prepared Data for LFM RLVR
Prepared on 2026-06-09 for local no-Docker LFM terminal RLVR experiments.
This dataset converts public terminal-agent task archives into two formats:
echo_terminal_tasks_*.parquet: ECHO/SkyRL-style rows with prompt, path, and task_binary.
lfm_live_tasks_mixed.*: local LFM no-Docker trainer rows with prompt, task_id, source, task_binary_b64, and metadata.
Current manifest:
total rows: 1500
Endless Terminals: 772 rows… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/ECHO-Terminal-Agent-Prepared-Data.automl_llm_agent_m3
AutoML-LLM Agent Module 3 Benchmark
This dataset contains the Module 3 benchmark for evaluating an assistant that converts AutoGluon training evidence and a surrogate XAI report into a decision-oriented report for a domain expert without AI training.
The repository is scoped to Module 3 only. Its seven cases reuse the processed datasets and reference configurations established by Modules 1 and 2.
Tables
module3_cases: one row per evaluation case, with canonical… See the full description on the dataset page: https://huggingface.co/datasets/tecnologiactc/automl_llm_agent_m3.prompt-pool-eval-llm-outputsllm-rag-agent-blogs
llm-rag-agent-blogs
Technical blogs on LLM, RAG, and AI Agents - Knowledge base for RAG pipeline
Dataset Structure
This dataset contains three subsets:
llm: Large Language Model related content
rag: Retrieval-Augmented Generation related content
agent: AI Agent related content
Usage
from datasets import load_dataset
# Load all subsets
dataset = load_dataset("GXMZU/llm-rag-agent-blogs")
# Load specific subset
llm_data =… See the full description on the dataset page: https://huggingface.co/datasets/GXMZU/llm-rag-agent-blogs.llm-systems-travel-agentllm-agent-hallucinationseed_data_retail_llm_agent_o4-mini_user_simulator_gpt-4.1exp-0223-027-realobs-llmagent-alfworld-dataseed_data_airline_llm_agent_o4-mini_user_simulator_gpt-4.1llm-agent-research-signals-2023-2026
LLM Agent Research Signals Dataset (2023-2026)
This dataset packages 1,600+ OpenAlex research-paper records on LLM agents published from 2023 through 2026 into one analysis-ready table for literature scouting, benchmark tracking, startup research, market mapping, and technical due diligence.
It starts from the public OpenAlex works API and documentation, then curates the result set with agent-focused discovery queries plus post-filtering for LLM, benchmark, evaluation, tool-use… See the full description on the dataset page: https://huggingface.co/datasets/Karmane/llm-agent-research-signals-2023-2026.customer-service-agent-llm