datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ipda-judge-adaptation-data
IPDA Judge Adaptation Training Dataset
Training data for judge adaptation in competitive debate. This dataset teaches models to adapt their debate output based on judge characteristics.
Dataset Structure
Files
File
Description
Pairs
depth_iter1_train.json
Depth adaptation iteration 1 (lay vs expert judges)
75
depth_iter2_train.json
Depth adaptation iteration 2 (different topics)
75
bias_train.json
Bias adaptation (ideological, procedural… See the full description on the dataset page: https://huggingface.co/datasets/debaterhub/ipda-judge-adaptation-data.OpenVerification1_aux_adaptation_examples
Dataset Card for ReexpressAI/OpenVerification1_aux_adaptation_examples
This is additional data as part of ReexpressAI/OpenVerification1. The data fields are slightly different for this data source, so we include this as a separate dataset.
This is example output from the Reexpress MCP Server when using the ReexpressAddTrue, ReexpressAddFalse, or ReexpressAddOOD tools. These are the lines that get saved to the adaptation/running_updates.jsonl file in the model directory.
Refer to… See the full description on the dataset page: https://huggingface.co/datasets/ReexpressAI/OpenVerification1_aux_adaptation_examples.