datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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.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.