datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
UsenetArchiveIT
Usenet Archive IT Dataset 🇮🇹
Description
Dataset Content
This dataset contains Usenet posts from Italian language newsgroups belonging to the it and italia hierarchies. The data has been archived and converted to the Parquet format for easy processing.
The only preprocessing conducted on the text was the removal of two conversations in which the VBS source code of the malicious script "ILOVEYOU" was present as it was shared by two users for didactical… See the full description on the dataset page: https://huggingface.co/datasets/mrinaldi/UsenetArchiveIT.UsenetArchiveIT-conversations
Conversational Usenet Archive IT Dataset 🇮🇹
Description
Dataset Content
This dataset is a filtered version from the Usenet dataset that contains posts from Italian language newsgroups belonging to the it and italia hierarchies. The data has been archived and converted to the Parquet format for easy processing. All posts with more the one message has been grouped in conversations
This dataset contributes to the mii-community project, aimed at advancing the… See the full description on the dataset page: https://huggingface.co/datasets/mii-community/UsenetArchiveIT-conversations.glm52-usersim-two-pass-gemma-audit-v1
GLM-5.2 Usersim Two-Pass Gemma Audit v1
This dataset has labels for 61,503 answers made by GLM-5.2. The prompts are artificial user prompts from lyraaaa/synthprompts_v2_250k.
The first working set had 10,000 prompts. It was sampled from 250,000 prompts with seed 20260806 and source revision f286925651e23e7f1d44b22b4f03241dbee9129e. The sample was stratified. This means it kept a similar mix of mode, language, and length.
Gemma 4 26B first checked those 10,000 prompts. It used… See the full description on the dataset page: https://huggingface.co/datasets/kalomaze/glm52-usersim-two-pass-gemma-audit-v1.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-llama-format
Open Paws Tool Use Llama Format
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Tool Use Data
Format: JSONL (JSON Lines)
Languages: Multilingual (primarily English)
Focus: Animal advocacy and ethical reasoning
Organization: Open Paws
License: Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/tool-use-llama-format.mm2_user_played
Mario Maker 2 user plays
Part of the Mario Maker 2 Dataset Collection
Dataset Description
The Mario Maker 2 user plays dataset consists of 329.8 million user plays from Nintendo's online service totaling around 2GB of data. The dataset was created using the self-hosted Mario Maker 2 api over the course of 1 month in February 2022.
How to use it
The Mario Maker 2 user plays dataset is a very large dataset so for most use cases it is recommended to make use of… See the full description on the dataset page: https://huggingface.co/datasets/TheGreatRambler/mm2_user_played.data-use-sft-tiered
Data-use SFT — tiered workflow (two task subsets)
Multitask SFT anchored exclusively on mentions the tiered extractor emits
(T1 evidential ∪ T2 declaration; see
rafmacalaba/data-use-mentions-tiered). Every row carries task
("provenance" | "usage_impact") and origin (prwp | fcv). Rows whose anchor
span was judged T3 (non-mention) or junk are dropped — audit trail in
manifest.jsonl (provenance) and manifest_usage.jsonl (usage/impact).
task = provenance (22,201 rows)… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/data-use-sft-tiered.tool-use
Tool-use rollouts (Qwen3, think/nothink)
Tool-augmented code-generation rollouts: Qwen3-8B and Qwen3-14B, each in
thinking and non-thinking mode, on DS-1000, LiveCodeBench (Python) and
Multilingual-LCB (OCaml). During generation the model can call a run_code
tool (up to 3 rounds) that executes its candidate in a sandbox (pinned DS-1000
env / LCB public tests / OCaml compile+publics) and returns real output.
Design: 100 samples per instance at temperature 0.6 (bf16, vLLM)… See the full description on the dataset page: https://huggingface.co/datasets/samuki-hf/tool-use.Usenet-Corpus-1980-2013-Threaded
Usenet Corpus 1980–2013 — Threaded
A large, thread-reconstructed corpus of Usenet posts spanning 1980–2013, with
every post linked into its conversation via thread_id, thread_position, and
thread_depth. This is the threaded companion to the Usenet Corpus 1980–2013
(cleaned) dataset: identical post content, plus conversation structure.
▶ Free preview — no gating. Browse a showcase sample of complete
reconstructed conversations at
Usenet-Corpus-1980-2013-Threaded-Samples
— no… See the full description on the dataset page: https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Threaded.agent-tool-use-trajectories
Agent Tool Use Trajectories (10K) 🚀
Dataset Description
This dataset contains 10,000 highly complex, multi-step dialogue trajectories designed to train open-source Large Language Models (LLMs) in advanced Agent Tool Use, Function Calling, and Reasoning.
Curated with professional AI training and data annotation standards, this dataset moves beyond simple synthetic Q&A pairs. It strictly follows the ChatML format and focuses heavily on multi-tool orchestration… See the full description on the dataset page: https://huggingface.co/datasets/Toprak1yu/agent-tool-use-trajectories.usernames
usernames
149,142,110 unique login-style usernames (1,713 MB of bytes) collected from
public sources, filtered to [A-Za-z0-9._-]{3,64} with case kept, deduplicated exactly, and split
by xxh3_64(name) % 64 == 0 into 2,328,816 held-out and 146,813,294 training names.
Files
prep/names.parquet: every kept name with src (index of the source that first mentioned it, in the
table order below), h (xxh3_64 of the name) and heldout; sorted by h.
prep/train.bin… See the full description on the dataset page: https://huggingface.co/datasets/ks46/usernames.tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified
Text to Terminal, v2 — Cleaned & Rectified
👥 Follow the Author
Aman Priyanshu
Overview
This dataset is a cleaned, combined, and thinking-augmented version of muellerzr/text_to_terminal_v2. It pairs natural language instructions with their corresponding terminal/bash commands, now augmented with explicit <think> reasoning traces that model the step-by-step thought process before producing the final command.The restructuring approach is directly… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-CODING-text_to_terminal_v2-sft-tool-use-agent-data-cleaned-rectified.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-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.traced-runs-misaligned-users-and-agents
Traced Runs: Misaligned Users and Agents
This dataset contains cherry-picked coding agent trajectories prepared for model evaluations and AI safety research.
You can also browse selected runs on traced.run.
Each *.jsonl file contains one conversation session as a single JSON object. The transcripts retain the structure needed for evaluation while redacting or sanitizing sensitive details.
The source material comes from public Hugging Face coding-agent datasets. The examples here are… See the full description on the dataset page: https://huggingface.co/datasets/schaeff/traced-runs-misaligned-users-and-agents.UserIntentBench
UserIntentBench
UserIntentBench is a benchmark for measuring whether LLM and VLM agents can recover, track, and re-align with user intent over long-horizon agentic tasks. Real user intent is rarely fully specified and rarely fixed: it is latent (only partially expressed at the start) and shifting (refined, redirected, or replaced mid-session). The benchmark represents the user's full intent as a structured, web-grounded intent graph that the evaluation harness knows in full but… See the full description on the dataset page: https://huggingface.co/datasets/JingmingChen/UserIntentBench.pi-computer-use-sessions
Coding agent session traces for thomasmustier/pi-computer-use-sessions
This dataset contains redacted coding agent session traces collected while working on https://github.com/tmustier/pi-computer-use. The traces were exported with pi-share-hf from local pi workspaces and filtered to keep only sessions that passed deterministic redaction, secret scanning, visual review where applicable, and LLM review.
Source git repo: https://github.com/tmustier/pi-computer-use
Data… See the full description on the dataset page: https://huggingface.co/datasets/thomasmustier/pi-computer-use-sessions.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.UserToolBench
UserToolBench
A User-Profile-Hidden Benchmark for Personalized Decision Making in Tool-Use LLMs
Can a tool-use LLM make the right decision for a particular user when the explicit user profile is hidden?
UserToolBench evaluates whether LLM agents can recover stable user preferences from interaction history, decide when clarification is necessary, and produce executable, user-aligned tool-call trajectories under incomplete information.
Overview… See the full description on the dataset page: https://huggingface.co/datasets/XuexiongYin/UserToolBench.Usenet-Corpus-1980-2013-Full
Usenet Corpus 1980–2013
A large, cleaned corpus of Usenet posts spanning 1980–2013 — long-form,
pre-web conversational text across the full newsgroup hierarchy. A thread-
reconstructed companion (Usenet Corpus 1980–2013 — Threaded) adds conversation
structure over identical content.
▶ Free preview — no gating. Browse a showcase sample of complete
conversations at
Usenet-Corpus-1980-2013-Full-Samples
— no access request needed.
▶ License the full corpus. This dataset is… See the full description on the dataset page: https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Full.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.data-use-sft-v2
data-use-sft v2 (config: real_v2)
Multitask SFT rows derived from the v2 relabeling. Same ChatML format as
rafmacalaba/data-use-sft (real), plus a task field:
provenance — exact-substring {producer, year, geography, acronym}; for tier1∧named
mentions the assistant JSON additionally carries bibtex (a single @misc entry assembled
from those same metadata fields)
usage_impact — {data_type, usage_action, impact_label, usage_summary}
Splits: val+holdout = dual-pass consensus; train… See the full description on the dataset page: https://huggingface.co/datasets/rafmacalaba/data-use-sft-v2.Usenet-Corpus-1980-2013-Full-Samples
Usenet Corpus 1980–2013 — Full (Samples)
A small, browsable showcase sample of the Usenet Corpus 1980–2013 (cleaned)
dataset — long-form, pre-web Usenet posts. This repo is a free preview; the full,
commercially-licensed corpus (405.8M posts, 102.5B tokens) is at:
Full cleaned dataset (gated): https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Full
Threaded companion: https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Threaded… See the full description on the dataset page: https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Full-Samples.gingiris-user-interview
User Interview Playbook 2026
Find PMF through founder-led conversations — the exact framework behind HeyGen's 937 interviews, JTBD scripts, screen-share protocols, and S/A/B/C user tier grading
English | 中文 | 日本語 | 한국어
📦 Install
npx skills add Gingiris-1031/gingiris-user-interview
Then ask your AI agent:
"Help me design PMF validation interviews" · "Draft questions for our 10 power users" · "Build a churn diagnostic interview script" ·… See the full description on the dataset page: https://huggingface.co/datasets/Gingiris/gingiris-user-interview.ih-rubrics-user-only
Instruction-Hierarchy Rubrics — User Instruction Only
Each example is an evaluation rubric built from the user instruction alone (the system instruction is N/A). The rubric encodes how to judge a response to the user request when no system instruction is present.
This is one of three companion datasets on instruction-hierarchy (IH) rubric extraction:
ih-rubrics-conflicting, ih-rubrics-supplementary, and ih-rubrics-user-only.
Dataset summary
Examples: 15,414
Total… See the full description on the dataset page: https://huggingface.co/datasets/liweijiang/ih-rubrics-user-only.Usenet-Corpus-1980-2013-Threaded-Samples
Usenet Corpus 1980–2013 — Threaded (Samples)
A small, browsable showcase sample of the Usenet Corpus 1980–2013 — Threaded
dataset: Usenet posts reconstructed into conversations via thread_id,
thread_position, and thread_depth. This repo is a free preview; the full,
commercially-licensed corpus (405.6M posts, 190.8M threads, 102.5B tokens) is at:
Full threaded dataset (gated): https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Threaded
Cleaned (unthreaded)… See the full description on the dataset page: https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Threaded-Samples.agentic-tool-use-multi-api-orchestration-2026
⚡ Agentic Tool-Use, Multi-API Calling & Autonomous Function Orchestration (2026)
Official 100-sample production preview of the Agentic Tool-Use & Multi-API Orchestration Suite (2026) by BeatsProm AI Research Lab. Engineered for parallel tool calling (<tool_call>), strict JSON-schema enforcement, stateful cursor pagination, and self-healing API error recovery.
🏛️ THE 20 AGENTIC OPERATIONAL CORES:
Parallel Portfolio Rebalancing: Multi-leg execution with… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/agentic-tool-use-multi-api-orchestration-2026.mm2_user
Mario Maker 2 users
Part of the Mario Maker 2 Dataset Collection
Dataset Description
The Mario Maker 2 users dataset consists of 6 million users from Nintendo's online service totaling around 1.2GB of data. The dataset was created using the self-hosted Mario Maker 2 api over the course of 1 month in February 2022.
How to use it
The Mario Maker 2 users dataset is a very large dataset so for most use cases it is recommended to make use of the streaming API of… See the full description on the dataset page: https://huggingface.co/datasets/TheGreatRambler/mm2_user.user-preference-564k
User Preference Extraction Dataset (564K)
A dataset of 564K examples for training lightweight preference extraction models. Each example pairs a conversation input with structured JSON output describing user preferences as condition-action rules.
This dataset was used to train blackhao0426/pref-extractor-qwen3-0.6b-full-sft, a core component of the VARS framework.
Sample Usage
The following snippet from the official repository demonstrates how to use the framework… See the full description on the dataset page: https://huggingface.co/datasets/blackhao0426/user-preference-564k.tool-reasoning-sft-TOOLS-toucan-1.5m-sft-tool-use-data-cleaned-rectified-333k
Toucan - OSS High Quality (Hermes Reasoning Format)
Filtered and restructured subset of Agent-Ark/Toucan-1.5M.
Format Inspiration: SupritiVijay/dr-tulu-sft-deep-research-agent-data-cleaned-rectified
Filters applied: OSS split only · overall_score > 3.0 · valid role transitions only
Size: ~333K examples
Format
Each example is a multi-turn conversation with strict role transitions:
system → user → reasoning → tool_call → tool_output → reasoning → ... → answer… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-TOOLS-toucan-1.5m-sft-tool-use-data-cleaned-rectified-333k.