datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
task717_mmmlu_answer_generation_logical_fallacies
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task717_mmmlu_answer_generation_logical_fallacies
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task717_mmmlu_answer_generation_logical_fallacies.fallacies-fallacy-base
Fallacies
This dataset was produced for the purpose of enabling more accurate detection and handling of logical and other fallacies in LLMs. Video Summary
Provenance
Seed data taken from Wikipedia's list of Fallacies, using the PDF representaton of each sub-page as seed data to produce each row synthetically with Gemini 1.5 Flash, Experimental, and Pro over the Vertex AI Google Cloud UI. This was both for rate limitation reasons ( I hate stopping in the middle of a task.… See the full description on the dataset page: https://huggingface.co/datasets/MrOvkill/fallacies-fallacy-base.fallacies-list-wikipedia
Provenance
Sourced from Wikipedia - List of fallacies to provide seed data for a dataset of examples of logical and other fallacies.
Methodology
The data was processed using Gemini 1.5 Pro via the Google GenAI API via a Colab notebook, which is available Here