datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ToolACE
ToolACE
ToolACE is an automatic agentic pipeline designed to generate Accurate, Complex, and divErse tool-learning data.
ToolACE leverages a novel self-evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs.
Dialogs are further generated through the interplay among multiple agents, guided by a formalized thinking process.
To ensure data accuracy, we implement a dual-layer verification system combining rule-based and model-based checks.
More details… See the full description on the dataset page: https://huggingface.co/datasets/lockon/ToolACE.ToolACE
ToolACE
ToolACE is an automatic agentic pipeline designed to generate Accurate, Complex, and divErse tool-learning data.
ToolACE leverages a novel self-evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs.
Dialogs are further generated through the interplay among multiple agents, guided by a formalized thinking process.
To ensure data accuracy, we implement a dual-layer verification system combining rule-based and model-based checks.
More details… See the full description on the dataset page: https://huggingface.co/datasets/Team-ACE/ToolACE.toolace-ms
ToolACE (Malay)
A Malay (Bahasa Malaysia) edition of Team-ACE/ToolACE — a large-scale synthetic function-calling corpus with 11,300 multi-turn conversations.
Original format preserved: system (function-composition instruction + tool JSON) and conversations (user/assistant/tool turns, assistant calls written as [API_Name(param=value)]).
In this edition:
System instructions, user queries, and assistant prose are in Malay
Tool and parameter descriptions are in Malay
API call… See the full description on the dataset page: https://huggingface.co/datasets/khursani8/toolace-ms.ToolACE-Japanese
ToolACE
Team-ACE/ToolACEを日本語に翻訳したデータセットです。
翻訳機にはLiquidAI/LFM2-350M-ENJP-MTを使用しました。
This is a Team-ACE/ToolACE dataset translated into Japanese.
The translation engine used was LiquidAI/LFM2-350M-ENJP-MT.
Translation quality
日本語母語話者から見ると不自然な表現が多々あるので、このデータセット単体でモデルをファインチューニングすることはお勧めしません。
Since this dataset contains numerous expressions that appear unnatural to native Japanese speakers, we do not recommend fine-tuning models using this dataset alone.
mirror-ToolACE
ToolACE
ToolACE is an automatic agentic pipeline designed to generate Accurate, Complex, and divErse tool-learning data.
ToolACE leverages a novel self-evolution synthesis process to curate a comprehensive API pool of 26,507 diverse APIs.
Dialogs are further generated through the interplay among multiple agents, guided by a formalized thinking process.
To ensure data accuracy, we implement a dual-layer verification system combining rule-based and model-based checks.
More… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-ToolACE.