Dataset · Hugging Face

Davichick/InterviewForge_GenDS

Name: InterviewForge_GenDS
Creator: Davichick
License: mit
Keywords: task_categories:text-generation, task_categories:question-answering, language:en, license:mit, size_categories:10K<n<100K, format:csv, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, interview, interview-questions, career

Synthetic Data Generation Model & Infrastructure The dataset was generated using the mistral:latest Large Language Model running locally via the Ollama framework. This model was explicitly selected because it balances advanced reasoning capabilities with hardware efficiency, allowing the execution of 10,944 complex generation requests entirely locally on an RTX 3080 GPU without incurring API costs. Additionally, Mistral demonstrated exceptional reliability in… See the full description on the dataset page: https://huggingface.co/datasets/Davichick/InterviewForge_GenDS.

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Author / organization	Davichick
License (as declared)	mit
Downloads	190 (as reported by Hugging Face)
Likes	0
Created	9 June 2026
Last updated at source	4 August 2026

interviewinterview-questionscareersyntheticllm-generatedhuman-resourcesrecruitmentquestion-answering

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