datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Rationale_MCTS
Rationale MCTS Dataset: Enabling LLMs to Assess Through Rationale Thought Trees
The Rationale MCTS dataset consists of intermediate assessment rationales generated by large language models (LLMs). These rationales are "noisy," meaning they might contain errors or approximate reasoning, tailored for step-by-step explainable assessment of student answers in science and biology. The dataset targets questions from the The Hewlett Foundation: Short Answer Scoring competition, available… See the full description on the dataset page: https://huggingface.co/datasets/jiazhengli/Rationale_MCTS.rationale-databricks-dolly-cqa
Dataset Overview
Filtered and annotated version of the closed-question answering part (~1.5k datapoints) of the Databricks Dolly Dataset intended for the task of rationale extraction.
Citation
@article{pirenne2024exploration,
title={Exploration of Closed-Domain Question Answering Explainability Methods With a Sentence-Level Rationale Dataset},
author={Pirenne, Lize and Mokeddem, Samy and Ernst, Damien and Louppe, Gilles},
year={2024}
}… See the full description on the dataset page: https://huggingface.co/datasets/Inversta/rationale-databricks-dolly-cqa.