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Text Dataset Aid Plugin

Development community

Description

This is a obsidian plugin to help with the creation of personal jsonl datasets for text generation models.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

![image](https://user-images.githubusercontent.com/88785126/203184536-9199f720-a03b-423b-9bf6-81a68c7fbd28.png) ![Obsidian Downloads](https://img.shields.io/badge/dynamic/json?logo=obsidian&color=%23483699&label=downloads&query=%24%5B%22obsidian-dataset-aid%22%5D.downloads&url=https%3A%2F%2Fraw.githubusercontent.com%2Fobsidianmd%2Fobsidian-releases%2Fmaster%2Fcommunity-plugin-stats.json)

Personalize your Second Brain Buddy(Text Generation Model)

[![Build obsidian plugin](https://github.com/conneroisu/Text-Dataset-Aid-Plugin/actions/workflows/release.yml/badge.svg)](https://github.com/conneroisu/Text-Dataset-Aid-Plugin/actions/workflows/release.yml)

Use a txt file to house your dataset. A feature to export your txt to a jsonl file will be added soon.

Context

Condition: Fully Working

The creation of NLP and text generation datasets are extremely impactual and has the potential to allow for researchers to train models that can automatically generate text. However, the creation of custom datasets is a teadious and slow process.

The text dataset aid is a helpful tool that can aid the creation of finetuning datasets for text generation models like GPT-3 by hand! This can make the text generated by your model after finetuning to be more personalized, detailed, or better formatted. Say no to dealing with menus through hotkey configurations!

This plugin can be used to quickly generate training data for NLP and text generation models. This would speed up research in these areas, as well as make it easier for practitioners to train these models.

The text dataset aid plugin is a helpful tool that can aid the creation of finetuning datasets for text generation models like GPT-3 by hand. This can make the text generated by your model after finetuning to be more personalized, detailed, or better formatted. Say no to dealing with menus through hotkey configurations!

Context within your second brain

Updating your own text generation model on your collected da