datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tool-reasoning-sft-TOOLS-toolace-sft-tool-use-agent-data-cleaned-rectified
ToolACE - Tool-Use Agent Data Cleaned & Rectified
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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.toolace_ragtruth_synthetic
ToolACE RAGTruth style synthetic hallucination dataset
This repository contains a synthetic span annotated hallucination detection dataset for tool calling responses.
The data was derived from Team ACE ToolACE conversations. Only grounded instances with a user query, tool call, tool output, and final assistant answer were used.
Motivation
The dataset targets hallucination detection in tool augmented generation, where a final assistant response should be grounded in the… See the full description on the dataset page: https://huggingface.co/datasets/Ali-Bhai/toolace_ragtruth_synthetic.toolace-ragtruth-style-hallucinations
ToolACE RAGTruth-style Tool Hallucination Dataset
This dataset was built from ToolACE tool-use dialogues and converted into a RAGTruth-style format for hallucination detection in tool calling.
Task
Given:
query: user query
context: tool response
output: final assistant answer
the goal is to classify whether the answer is grounded in the tool output or belongs to one of three hallucination types.
Labels
clean
tool_output_conflict
overgeneration… See the full description on the dataset page: https://huggingface.co/datasets/Ali-Bhai/toolace-ragtruth-style-hallucinations.