datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
A-Survey-for-LLM-Agent-Trajectory-Analysis
A Survey for LLM Agent Trajectory Analysis
This dataset repository hosts the survey paper A Survey for LLM Agent Trajectory Analysis: From Failure Attribution to Enhancement and a structured metadata snapshot of the companion paper collection from Awesome-LLM-Agent-Trajectory-Analysis.
The repository is intended for discovery, citation, and lightweight analysis of the literature around LLM agent trajectory analysis, including failure attribution, trajectory-based debugging… See the full description on the dataset page: https://huggingface.co/datasets/RobinChen2001/A-Survey-for-LLM-Agent-Trajectory-Analysis.agentic-llm-pretraining-1.7b
Agentic LLM Pretraining Dataset
A pretraining corpus for small language models (1-3B parameters) optimized for agentic tasks. The corpus emphasizes learning to comprehend language, reason, follow instructions, and use tools over memorizing factual knowledge — the assumption is that domain knowledge will be provided at runtime via RAG. The idea is that this could enable much smaller pretraining corpora by omitting the large volumes of text typically needed to memorize facts.… See the full description on the dataset page: https://huggingface.co/datasets/visionscaper/agentic-llm-pretraining-1.7b.aiwolf-nlp-agent-llm
AIWolfDial 2026 Power Play Evaluation
Public data release: 2026-09-14. This dataset is available at synonym/aiwolf-nlp-agent-llm, with the snapshot tag release-20260914. The matching code distribution is 1.0.0-rc.3, commit d427dc299bacf4eb4cb41c114c8af476b71ac7ed. The code distribution uses a single root commit; this dataset is separate and is not included in that repository. Paper publication identifiers are still pending. The dataset is distributed under the MIT license in… See the full description on the dataset page: https://huggingface.co/datasets/synonym/aiwolf-nlp-agent-llm.llm-prompt-collection
LLM Prompt Collection
Prompts from the first 100 000 rows of each dataset were collected then deduplicated and shuffled.
The prompts_k* configs are semantically clustered subsets of the all config for diversity and coverage.
The screened_prompts config is a subset of safe, high-quality prompts for the all config as classified using agentlans/bge-small-en-v1.5-prompt-screener
Source
Rows
agentlans/chatgpt all
100 000
agentlans/magpie all
99 982… See the full description on the dataset page: https://huggingface.co/datasets/agentlans/llm-prompt-collection.agentlans__Llama3.1-Daredevilish-Instruct-details
Dataset Card for Evaluation run of agentlans/Llama3.1-Daredevilish-Instruct
Dataset automatically created during the evaluation run of model agentlans/Llama3.1-Daredevilish-Instruct
The dataset is composed of 38 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Llama3.1-Daredevilish-Instruct-details.Josephgflowers__Tinyllama-STEM-Cinder-Agent-v1-details
Dataset Card for Evaluation run of Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
Dataset automatically created during the evaluation run of model Josephgflowers/Tinyllama-STEM-Cinder-Agent-v1
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Josephgflowers__Tinyllama-STEM-Cinder-Agent-v1-details.agentlans__Llama-3.2-1B-Instruct-CrashCourse12K-details
Dataset Card for Evaluation run of agentlans/Llama-3.2-1B-Instruct-CrashCourse12K
Dataset automatically created during the evaluation run of model agentlans/Llama-3.2-1B-Instruct-CrashCourse12K
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Llama-3.2-1B-Instruct-CrashCourse12K-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-COT-details.llm-agentic-swiss-legal-checkpoints
LLM Agentic Legal Information Retrieval — Checkpoints
Public artifacts from competing in the Kaggle competition.
Best public LB
Submission
LB
v6 LightGBM baseline
0.0709
v9 DeepSeek paragraph injection
0.13167
v11 court sibling expansion
0.13665
v12 Qwen2.5-14B LoRA
0.13204
Structure
submissions/ — final submission CSVs per version
picks/ — per-query LLM output caches (V4-Pro picks, LoRA picks, profiles)
training/ — LEXam fine-tuning data… See the full description on the dataset page: https://huggingface.co/datasets/Dharun72/llm-agentic-swiss-legal-checkpoints.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.004-128K-code-ds-auto-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-details.EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math-details
Dataset Card for Evaluation run of EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
Dataset automatically created during the evaluation run of model EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-math-details.EpistemeAI__Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy-details
Dataset Card for Evaluation run of EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy
Dataset automatically created during the evaluation run of model EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Empathy-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 5 run(s). Each run can be found as a specific split in each configuration, the split being named… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-details.EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT-details
Dataset Card for Evaluation run of EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT
Dataset automatically created during the evaluation run of model EpistemeAI2/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI2__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.005-128K-code-COT-details.EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds
The dataset is composed of 38 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-details.EpistemeAI__Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO-details
Dataset Card for Evaluation run of EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO
Dataset automatically created during the evaluation run of model EpistemeAI/Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Fireball-Meta-Llama-3.2-8B-Instruct-agent-003-128k-code-DPO-details.Estwld-empathetic_dialogues_llmReformatted version of Estwld/empathetic_dialogues_llm.
Changes:
Added a random system prompt for the AI to be empathetic
Truncated conversations that don't end with the AI's turn
Removed extra fields not needed in the conversation
Limitations:
The dialogues aren't very long
No background info for the user and AI
English only
llm-agent-papers
LLM Agent & Tool-Use Papers — FineSet
A research-paper dataset on LLM Agent & Tool-Use Papers, assembled, deduplicated, and quality-scored by
FineSet from arXiv and Semantic Scholar.
📸 This is a dated snapshot — generated 2026-06-12.
It is not auto-updated. Research on LLM Agent & Tool-Use Papers moves fast — new papers land on arXiv every
week. Want this same dataset refreshed daily, on a topic you choose? See the bottom. ↓
Why this dataset
Quality-scored:… See the full description on the dataset page: https://huggingface.co/datasets/fineset-io/llm-agent-papers.agentlans__Llama3.1-LexiHermes-SuperStorm-details
Dataset Card for Evaluation run of agentlans/Llama3.1-LexiHermes-SuperStorm
Dataset automatically created during the evaluation run of model agentlans/Llama3.1-LexiHermes-SuperStorm
The dataset is composed of 38 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Llama3.1-LexiHermes-SuperStorm-details.EpistemeAI__Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic-details
Dataset Card for Evaluation run of EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic
Dataset automatically created during the evaluation run of model EpistemeAI/Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/EpistemeAI__Polypsyche-Llama-3.1-8B-Instruct-Agent-0.003-128K-code-ds-auto-Logic-details.agentlans__Gemma2-9B-AdvancedFuse-details
Dataset Card for Evaluation run of agentlans/Gemma2-9B-AdvancedFuse
Dataset automatically created during the evaluation run of model agentlans/Gemma2-9B-AdvancedFuse
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/agentlans__Gemma2-9B-AdvancedFuse-details.agentlans__Llama3.1-Daredevilish-details
Dataset Card for Evaluation run of agentlans/Llama3.1-Daredevilish
Dataset automatically created during the evaluation run of model agentlans/Llama3.1-Daredevilish
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/agentlans__Llama3.1-Daredevilish-details.agentlans__Llama3.1-SuperDeepFuse-CrashCourse12K-details
Dataset Card for Evaluation run of agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K
Dataset automatically created during the evaluation run of model agentlans/Llama3.1-SuperDeepFuse-CrashCourse12K
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Llama3.1-SuperDeepFuse-CrashCourse12K-details.Josephgflowers__TinyLlama-Cinder-Agent-v1-details
Dataset Card for Evaluation run of Josephgflowers/TinyLlama-Cinder-Agent-v1
Dataset automatically created during the evaluation run of model Josephgflowers/TinyLlama-Cinder-Agent-v1
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Josephgflowers__TinyLlama-Cinder-Agent-v1-details.agentlans__Qwen2.5-0.5B-Instruct-CrashCourse-dropout-details
Dataset Card for Evaluation run of agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout
Dataset automatically created during the evaluation run of model agentlans/Qwen2.5-0.5B-Instruct-CrashCourse-dropout
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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/agentlans__Qwen2.5-0.5B-Instruct-CrashCourse-dropout-details.agentlans__Llama3.1-8B-drill-details
Dataset Card for Evaluation run of agentlans/Llama3.1-8B-drill
Dataset automatically created during the evaluation run of model agentlans/Llama3.1-8B-drill
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/agentlans__Llama3.1-8B-drill-details.agentic-llm-pretraining-1.7b
Agentic LLM Pretraining Dataset
A pretraining corpus for small language models (1-3B parameters) optimized for agentic tasks. The corpus emphasizes learning to comprehend language, reason, follow instructions, and use tools over memorizing factual knowledge — the assumption is that domain knowledge will be provided at runtime via RAG. The idea is that this could enable much smaller pretraining corpora by omitting the large volumes of text typically needed to memorize facts.… See the full description on the dataset page: https://huggingface.co/datasets/travisp83/agentic-llm-pretraining-1.7b.whissle-agent-llm-training-data
Whissle Agent LLM Training Data
Training and validation data for the Whissle Agent LoRA model.
Each sample is a (perception, response) pair where:
Perception = structured ASR output (transcript + emotion + intent + entities + MI behavior)
Response = ideal agent response with SSML prosody, tool calls, MI codes, and reasoning
Dataset Statistics
Split
Samples
Training
5,171
Validation
272
Total
5,443
By Domain
Domain
File… See the full description on the dataset page: https://huggingface.co/datasets/WhissleAI/whissle-agent-llm-training-data.