datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
CLEVR-HOPE
CLEVR-HOPE
The CLEVR Held-Out Pair Evaluation (CLEVR-HOPE) dataset is a diagnostic dataset for testing the systematicity of VQA models.
CLEVR-HOPE is a controlled setting to test whether VQA models generalize to pairs of attribute values that were not seen during either training or fine-tuning.
Within CLEVR-HOPE, we refer to an unseen pair of attribute values as a Held-Out Pair (HOP). The dataset is composed of 29 sub-datasets, each for a different HOP.
For each of the 29 HOPs, we… See the full description on the dataset page: https://huggingface.co/datasets/user9000/CLEVR-HOPE.hermes_reasoning_tool_use
TL;DR
51 004 ShareGPT conversations that teach LLMs when, how and whether to call tools.Built with the Nous Research Atropos RL stack in Atropos using a custom MultiTurnToolCallingEnv, and aligned with BFCL v3 evaluation scenarios.Released by @interstellarninja under Apache-2.0.
1 Dataset Highlights
Count
Split
Scenarios covered
Size
51 004
train
single-turn · multi-turn · multi-step · relevance
392 MB
Each row: OpenAI-style conversations… See the full description on the dataset page: https://huggingface.co/datasets/interstellarninja/hermes_reasoning_tool_use.reason-tool-use-demo-1500
Dataset info
The dataset is a selection of reasoning toolcalls data from https://huggingface.co/datasets/interstellarninja/hermes_reasoning_tool_use, which contains data from Hermes-Tools、Glaive-FC、ToolAce、Nvidia-When2Call.
The format has been transformed to adapt llama-factory v1 training pipeline.
agent-think-tool_use
Agent Think Tool Use
Датасет многошаговых агентных сессий для дообучения моделей работе с кодом, инструментами и инженерными задачами. Записи содержат пользовательские требования, комментарии агента во время работы, decision summaries, вызовы инструментов, результаты запусков, обработку ошибок и финальную проверку.
Каждый shard представляет отдельную связанную сессию, а не отдельный вопрос и ответ. Данные охватывают исследование задачи, работу с документацией, проектирование… See the full description on the dataset page: https://huggingface.co/datasets/ru-dataset/agent-think-tool_use.tool-use-multiturn-reasoningtool-math
Tool Math
Tool Math is a chat-style math reasoning dataset designed for small language models that need to learn when to call a calculator tool and how to continue from the returned value.
Each example is a complete conversation with:
a user math word problem,
short assistant reasoning turns,
native OpenAI-style calc tool calls,
separate tool-result messages,
a final answer in \boxed{...},
a structured tool_trace column for programmatic training and evaluation,
a text_messages… See the full description on the dataset page: https://huggingface.co/datasets/User01110/tool-math.bam-scientific-tool-use
BAM Scientific Tool Use
Inspect real welding measurement files, calculate a precisely specified result, and cite the evidence used. BAM Scientific Tool Use is a small, auditable dataset for evaluating language models with Python tools. It contains 160 tasks over 30 welding passes from five physical workpieces: 130 answerable calculations and 30 constructed cases where a required file is withheld.
The measurements come from Chaurasia et al., Tandem-GMAW: advanced pulsed and… See the full description on the dataset page: https://huggingface.co/datasets/harrrshall/bam-scientific-tool-use.tool-reasoning-sft-TOOLS-hermes_reasoning_tool_use-data-cleaned-rectified
Hermes Reasoning Tool Use — Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned and restructured version of interstellarninja/hermes_reasoning_tool_use. The original dataset uses the Hermes/NousResearch multi-turn format with from/value fields and embedded <think> + <tool_call> tags inside single gpt turns. This version converts it into a strict multi-turn conversation structure with validated role transitions.… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-hermes_reasoning_tool_use-data-cleaned-rectified.tool-reasoning-sft-TOOLS-toolace-sft-tool-use-agent-data-cleaned-rectified
ToolACE - Tool-Use Agent Data Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned and restructured version of the Team-ACE/ToolACE dataset. ToolACE is a high-quality conversational tool-use dataset containing 11,300+ examples of natural language interactions requiring function calling across diverse domains. This version converts the original OpenAI function-call format into a standardized multi-turn tool-use… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-toolace-sft-tool-use-agent-data-cleaned-rectified.verified-tool-use-dataset
Verified tool-use trajectories for LLM agents
This was a time-boxed experiment by an autonomous agent (Protogonos), now concluded. Nothing here is offered for sale or for hire, and no payment is accepted.
Multi-turn function-calling conversations for training and evaluating
tool-using agents — 48 trajectories across 16 domains, with every tool call
checked against its tool's JSON-Schema. The free sample in this repo is a real
slice of the full set: the viewer above renders it… See the full description on the dataset page: https://huggingface.co/datasets/protogonos/verified-tool-use-dataset.OmniMemBench
Contents
data/ — 103 benchmark samples, each with 128K/256K/512K/1M token tiers
Usage
Use the download script in the code repo:
python download_data.py
Data Format
Each data/{run_id}/benchmark_{tier}.json contains:
character_profile: persona and conversation style
multi_session_dialogues: multi-session conversation history with multimodal references
QAs: evaluation questions with ground truth answers, evidence chains, and clues… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-release-username/OmniMemBench.toolace_sequential_tool_use_reasoningMSD_manual_topics_user_base
MSD_manual_topics_user_base
This dataset has been built with the website https://www.msdmanuals.com/ provided by Merck & Co for the greater audience.
The MSD manual is an essential source of knowledge for many topics related to symptoms, diseases, health and other related topics. The manual makes an extra effort to make it available both for professionals and patients by having two distinct version.
The content, while being labelled the same, differs by the type of user in order to… See the full description on the dataset page: https://huggingface.co/datasets/nuvocare/MSD_manual_topics_user_base.ode-enterprise-use-cases
ODE Enterprise Use Case Dataset
15,000 labeled enterprise use cases spanning 31 modules, 215 submodules, 8 industry verticals, 5 channels, and 12 business personas.
Published by Llewellyn Systems Inc — builders of ODE, the Operating System for Decision & Enterprise.
Attribution Required
This dataset is licensed under CC-BY-4.0. You are free to use, share, and adapt this dataset for any purpose — including commercial — as long as you give appropriate credit.
How… See the full description on the dataset page: https://huggingface.co/datasets/LlewellynSystems/ode-enterprise-use-cases.tool-use-relevance-reasoninglegal-consensus
LegalConsensus: Multi-Firm Legal Interpretation Dataset
Dataset Summary
Structured legal assertions extracted from 54 Am Law 100 law firm publications. Contains 12,000+ assertions about 6,300+ legal authorities with Shepardizing-style treatment signals and short verbatim quotes.
This is the first and only multi-firm legal interpretation dataset on HuggingFace. Unlike existing legal NLP datasets that focus on raw text or contract clauses, LegalConsensus captures how elite… See the full description on the dataset page: https://huggingface.co/datasets/usejunior/legal-consensus.DoD-Instruction-5400-19-Public-Affairs-Use-of-Artificial-Intelligence
DoD Public Affairs Use of Artificial Intelligence
Maintainer: Terry Eppler
Owner: US Federal Government
Dataset Summary
This dataset contains 150 document-grounded question-and-answer records based on DoD Instruction 5400.19, “Public Affairs Use of Artificial Intelligence,” effective July 28, 2025.
The source establishes Department of Defense policy, responsibilities, and procedures for the appropriate use of artificial-intelligence capabilities in… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/DoD-Instruction-5400-19-Public-Affairs-Use-of-Artificial-Intelligence.ACE
ACE: Episodic Memory Dataset (StackOverflow Jan–Jun 2025) (v1.0.0)
StackOverflow-derived events and monthly episodic rollups (Jan–Jun 2025).
Dataset contents
ACE contains two related components:
events: canonical event records (~96K examples) derived from StackOverflow Q&A threads.
episodes: grouped rollups of events for each month, ordered chronologically and packaged in fixed-size windows.
Each event includes a question, an accepted answer (or top-scored substitute)… See the full description on the dataset page: https://huggingface.co/datasets/anon-user-423/ACE.AAAI_Wrong-but-Useful
Wrong but Useful — Trajectory Value Dataset
Companion dataset to Wrong but Useful: Trajectory Value Beyond Answer
Correctness in Multi-Agent Messages
(arXiv:2608.14375 ·
PDF) ·
Code ·
Project page
READ BEFORE USE — licensing and do-not-train terms
This dataset redistributes third-party benchmark content (question text and
gold answers) alongside model-generated text and the trajectory-value
measurements that are this paper's contribution. The benchmark content… See the full description on the dataset page: https://huggingface.co/datasets/AgentsSci/AAAI_Wrong-but-Useful.DoD-Instruction-8410-DNS-IP-Address-Use-And-Approval
🌐 DoD Internet Domain Name and IP Address Resource Question-Answer Dataset
Source: DoD Instruction 8410.01
Source Effective Date: December 4, 2015
Change Incorporated: Change 1, effective June 4, 2021
Source Organization: Office of the DoD Chief Information Officer
Source Ownership: United States Department of Defense
📋 Overview
Dataset Summary
The DoD Internet Domain Name and IP Address Resource Question-Answer Dataset is a structured… See the full description on the dataset page: https://huggingface.co/datasets/leeroy-jankins/DoD-Instruction-8410-DNS-IP-Address-Use-And-Approval.ode-enterprise-use-cases
ODE Enterprise Use Case Dataset
15,000 labeled enterprise use cases spanning 31 modules, 215 submodules, 8 industry verticals, 5 channels, and 12 business personas.
Published by Llewellyn Systems Inc — builders of ODE, the Operating System for Decision & Enterprise.
Attribution Required
This dataset is licensed under CC-BY-4.0. You are free to use, share, and adapt this dataset for any purpose — including commercial — as long as you give appropriate credit.
How… See the full description on the dataset page: https://huggingface.co/datasets/LlewellynSystemsInc/ode-enterprise-use-cases.user-test3dx-users-guide-generated-errors-samplemultilingual-llm-evaluation
Multilingual LLM Evaluation
A small evaluation dataset for comparing language models across English, Hindi, and Spanish.
Columns
language: language code (en, hi, or es)
question: question provided to the model
expected_answer: reference answer used for scoring
Intended use
This dataset can be used to compare model accuracy, language adherence, and response speed across languages.
Limitations
This is a small demonstration dataset and… See the full description on the dataset page: https://huggingface.co/datasets/userhuggingface4321/multilingual-llm-evaluation.SmartHome-Device-QAui-form-user-manual-generation-dataset-rus
UI Form User Manual Generation Dataset (Russian)
Dataset Description
This dataset was developed on the basis of 'yahma/alpaca-cleaned' dataset.
It contains examples of generating user guides for interface forms in Russian. Each example includes a description of the UI form elements and corresponding step-by-step instructions for completing it.
Data Structure
The dataset is in JSON format, and contains three fields:
instruction — system instruction
input —… See the full description on the dataset page: https://huggingface.co/datasets/dim014/ui-form-user-manual-generation-dataset-rus.basic-general-use-dataset
Basic General Use Dataset
This is a dataset that has just general things for training a small ai
UserStoryToTestCaseConverter
Dataset Card for Dataset Name
This dataset is a User Story to Test Scenario converter which receives the User Story one-liner description as the input and produces the possible positive and negative scenarios as output in the Gherkin language (as in the Behavior Driven Development framework).
Dataset Details
Dataset Description
This dataset has been generated using the inferences from Gemma 2b model.
Curated by: Yashpal Sharma Nagaraja Rao
Funded by… See the full description on the dataset page: https://huggingface.co/datasets/yashpalsharma/UserStoryToTestCaseConverter.user-feedback-dpo
📝 ChatTune-DPO (farabi-lab/user-feedback-dpo)
📌 Dataset Summary
ChatTune-DPO is a dataset containing structured user interactions with a Large Language Model (LLM), focusing on user feedback for Direct Preference Optimization (DPO) training. The dataset includes dialogues where users interact with the model, provide likes/dislikes, and corrections to responses.
This dataset is designed to enhance model alignment with human preferences by leveraging both explicit and… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/user-feedback-dpo.User_Story_Generated
Dataset Card for User_Story_Generated
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/DerekCho91/User_Story_Generated/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/DerekCho91/User_Story_Generated.