datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
data-kit-sub-iwslt2025-if-long-constraint
Data for KIT’s Instruction Following Submission for IWSLT 2025
This repo contains the data used to train our model for IWSLT 2025's Instruction-Following (IF) Speech Processing track.
IWSLT 2025's Instruction-Following (IF) Speech Processing track in the scientific domain aims to benchmark foundation models that can follow natural
language instructions—an ability well-established in textbased LLMs but still emerging in speech-based counterparts. Our approach employs an end-to-end… See the full description on the dataset page: https://huggingface.co/datasets/maikezu/data-kit-sub-iwslt2025-if-long-constraint.reasoning-sft-IF_multi_constraints_upto5
reasoning-sft-IF_multi_constraints_upto5
Instruction-following dataset with multi-constraint prompts (up to 5 constraints), paired with reasoning responses generated.
Format
Each row has three columns:
input — list of dicts [{"role": "user", "content": "..."}, ...]
response — model response string (includes <think> reasoning block)
category — constraint category label
Usage
import random
import pyarrow.parquet as pq
from huggingface_hub import hf_hub_download… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/reasoning-sft-IF_multi_constraints_upto5.clinical-constraint-intervention-planning-v0.1Clinical Constraint Intervention Planning v0.1
Clinical Constraint Intervention Planning (CCIP) is a synthetic benchmark for evaluating whether an AI system can construct safe, temporally valid intervention plans under interacting clinical constraints.
The benchmark tests more than selection of a plausible intervention. A model must preserve active constraints, satisfy intervention preconditions at the moment of execution, distinguish treatment initiation from confirmed establishment, respect… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-constraint-intervention-planning-v0.1.