datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SPADE-Grounding-Corpus-ToolUse-15K
SPADE grounding corpus: tool use (15k)
Reference documents the SPADE Environment Designer is grounded on when generating multi-turn tool-use environments. 15,552 source files drawn from nvidia/Nemotron-Pretraining-Code-v3.
Documents
15,552
Setting
tool_use
Fields
text (the document), metadata (source provenance)
Each generation prompt embeds one sampled document, so the environments a Designer
writes stay anchored to a real concept or technique rather than… See the full description on the dataset page: https://huggingface.co/datasets/spade-rl/SPADE-Grounding-Corpus-ToolUse-15K.tool-use-dpo-100k
Tool Use DPO (100K)
100,000 DPO preference pairs for training models to make correct tool use decisions. Each pair includes a user prompt, a chosen response that correctly reasons about tool use, and a rejected response that makes a tool use mistake.
Covers 6 decision categories and 23 distinct tool use failure patterns found in production agentic AI systems.
Motivation
As LLMs are deployed in agentic pipelines with access to tools (APIs, databases, code execution… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/tool-use-dpo-100k.indonesian-agent-tooluse
Agent Tool-Use Bahasa Indonesia 🤖
Dataset 241 contoh function-calling / tool-use berbahasa Indonesia — instruksi user natural + tool definitions + tool calls yang tepat + response.
Kenapa dataset ini ada?
Tool-calling adalah tren paling panas di HF (orca-agentinstruct 466 likes, Toucan 226, DeepScaleR 205) — tapi tidak ada satu pun dataset tool-use berbahasa Indonesia. Model lokal yang bisa panggil tool (cek cuaca, booking, cari rute) dalam bahasa Indonesia = gap… See the full description on the dataset page: https://huggingface.co/datasets/LorthGyu/indonesian-agent-tooluse.keural-nova-tooluse
Keural Nova — tool-calling SFT slice (PRIVATE)
Tool-calling data used for Keural Nova v1.2. 17,337 rows: single-turn, multi-turn
(call -> tool result -> final answer), negative (no-call), and long-context up to 32k tokens.
Rendered as Qwen XML tool calls via ms-swift's native agent schema
(tool_call/tool roles + per-row tools JSON string).
tooluse_short.jsonl — 14,337 rows (<= ~3.6k tokens)
tooluse_long32k.jsonl — 3,000 rows (8k–32k tokens)
Sources / licenses:… See the full description on the dataset page: https://huggingface.co/datasets/mkd-hossain/keural-nova-tooluse.