datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical_narrative_negative_evidence_handling_v0.4Clinical Narrative Negative Evidence Handling v0.4
Purpose
Test whether a model handles negative evidence without narrative spin.
This version adds
timeline steps
cross trial negative carryover
suppression pressure prompts
explicit evidence status and submission positioning
Input columns
data_anchor
negative_pressures
draft_narrative
audience
timeline_step
Model task
Return one JSON object
negative_flagslist of short labels
evidence_statusexploratory, mixed, negative… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical_narrative_negative_evidence_handling_v0.4.tool-reasoning-sft-TOOLS-context-management-handling
Tool Reasoning SFT — Context Management
A mixed-domain tool-use SFT dataset for training context-aware reasoning with structured tool interactions.
Format
Each row contains a JSON-serialized message list following a multi-role conversation format with tool definitions and calls.
Usage
from datasets import load_dataset
ds = load_dataset("AmanPriyanshu/tool-reasoning-sft-TOOLS-context-management-handling", split="train")
License
Apache 2.0
Exception_Failure_Handling
🇰🇿 Kazakh Exception and Tool Failure Handling Dataset
Dataset Summary
Kazakh Exception and Tool Failure Handling Dataset is a Kazakh-language dataset designed for training and evaluating Large Language Models (LLMs) in agentic AI workflows where tool calls may fail, return errors, or require retry behavior.
The dataset contains user requests, available tool schemas, expected tool calls, mock tool responses, tool failure messages, retry attempts, and final… See the full description on the dataset page: https://huggingface.co/datasets/farabi-lab/Exception_Failure_Handling.