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.mmlu-logical_fallacies
Dataset Card for "mmlu-logical_fallacies"
More Information needed
mmlu-logical_fallacies-neg
Dataset Card for "mmlu-logical_fallacies-neg"
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mmlu-logical_fallacies-neg-prepend
Dataset Card for "mmlu-logical_fallacies-neg-prepend"
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mmlu-logical_fallacies-original-neg
Dataset Card for "mmlu-logical_fallacies-original-neg"
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mmlu-logical_fallacies-verbal-neg-prepend
Dataset Card for "mmlu-logical_fallacies-verbal-neg-prepend"
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mmlu-logical_fallacies-original-neg-prepend
Dataset Card for "mmlu-logical_fallacies-original-neg-prepend"
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mmlu-logical-fallaciesmmlu-logical_fallacies-rule-neg
Dataset Card for "mmlu-logical_fallacies-rule-neg"
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mmlu-logical_fallacies-dev
Dataset Card for "mmlu-logical_fallacies-dev"
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mmlu-logical_fallacies-neg-answer
Dataset Card for "mmlu-logical_fallacies-neg-answer"
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mmlu-logical_fallacies-rule-neg-prepend
Dataset Card for "mmlu-logical_fallacies-rule-neg-prepend"
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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.MAFALDA-fallacies
Dataset Card for MAFALDA-fallacies
This is a unified fallacy classification dataset originally publishde in github and NAACL 2024.
Citation [optional]
MAFALDA: A Benchmark and Comprehensive Study of Fallacy Detection and Classification (Helwe et al., NAACL 2024)
BibTeX:
@inproceedings{helwe-etal-2024-mafalda,
title = "{MAFALDA}: A Benchmark and Comprehensive Study of Fallacy Detection and Classification",
author = "Helwe, Chadi and
Calamai, Tom and… See the full description on the dataset page: https://huggingface.co/datasets/Blanca/MAFALDA-fallacies.qwen3_0.6b-rlvr_task717_mmmlu_answer_generation_logical_fallaciesrlvr_task717_mmmlu_answer_generation_logical_fallaciesmmlu-logical_fallacies-neg-prepend-fix
Dataset Card for "mmlu-logical_fallacies-neg-prepend-fix"
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4_fallacies_test4_fallacies_trainfallacies-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
noor_logical_fallacies