Dataset · Hugging Face

rubenroy/GammaCorpus-Fact-QA-450k

Name: GammaCorpus-Fact-QA-450k
Creator: rubenroy
License: apache-2.0
Keywords: task_categories:text-generation, task_categories:question-answering, language:en, license:apache-2.0, size_categories:100K<n<1M, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, natural-language-processing, jsonl, nlp

GammaCorpus: Fact QA 450k What is it? GammaCorpus Fact QA 450k is a dataset that consists of 450,000 fact-based question-and-answer pairs designed for training AI models on factual knowledge retrieval and question-answering tasks. Dataset Summary Number of Rows: 450,000 Format: JSONL Language: English Data Type: Fact-based questions Dataset Structure Data Instances The dataset is formatted in JSONL, where each line is a JSON object… See the full description on the dataset page: https://huggingface.co/datasets/rubenroy/GammaCorpus-Fact-QA-450k.

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Author / organization	rubenroy
License (as declared)	apache-2.0
Downloads	124 (as reported by Hugging Face)
Likes	14
Created	26 January 2025
Last updated at source	1 February 2025

natural-language-processingjsonlnlpqaquestion-answeringquestions-and-answersgammacorpus

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