Extraction Prompt & Response Dataset in Bahasa

This extraction prompt and completion dataset consists of a wide range of extraction prompts and responses in the Bahasa language. Along with that, it includes detailed annotation for each dataset.

Category

Extraction Prompt-Completion Dataset

Total volume

1500+ Assets

Last Updated

Sep 2023

Number of participants

50+ people

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About This OTS Dataset

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What’s Included

Welcome to the Bahasa Extraction Type Prompt-Response Dataset, a meticulously curated collection of 1500 prompt and response pairs. This dataset is a valuable resource for enhancing the data extraction abilities of Language Models (LMs), a critical aspect in advancing generative AI.



Dataset Content:

This extraction dataset comprises a diverse set of prompts and responses where the prompt contains input text, extraction instruction, constraints, and restrictions while completion contains the most accurate extraction data for the given prompt. Both these prompts and completions are available in Bahasa language.



These prompt and completion pairs cover a broad range of topics, including science, history, technology, geography, literature, current affairs, and more. Each prompt is accompanied by a response, providing valuable information and insights to enhance the language model training process. Both the prompt and response were manually curated by native Bahasa people, and references were taken from diverse sources like books, news articles, websites, and other reliable references.



This dataset encompasses various prompt types, including instruction type, continuation type, and in-context learning (zero-shot, few-shot) type. Additionally, you'll find prompts and responses containing rich text elements, such as tables, code, JSON, etc., all in proper markdown format.



Prompt Diversity:

To ensure diversity, this extraction dataset includes prompts with varying complexity levels, ranging from easy to medium and hard. Additionally, prompts are diverse in terms of length from short to medium and long, creating a comprehensive variety. The extraction dataset also contains prompts with constraints and persona restrictions, which makes it even more useful for LLM training.



Response Formats:

To accommodate diverse learning experiences, our dataset incorporates different types of responses depending on the prompt. These formats include single-word, short phrase, single sentence, and paragraph type of response. These responses encompass text strings, numerical values, and date and time, enhancing the language model's ability to generate reliable, coherent, and contextually appropriate answers.



Data Format and Annotation Details:

This fully labeled Bahasa Extraction Prompt Completion Dataset is available in JSON and CSV formats. It includes annotation details such as a unique ID, prompt, prompt type, prompt length, prompt complexity, domain, response, response type, and rich text presence.



Quality and Accuracy:

Our dataset upholds the highest standards of quality and accuracy. Each prompt undergoes meticulous validation, and the corresponding responses are thoroughly verified. We prioritize inclusivity, ensuring that the dataset incorporates prompts and completions representing diverse perspectives and writing styles, maintaining an unbiased and discrimination-free stance.



The Bahasa version is grammatically accurate without any spelling or grammatical errors. No copyrighted, toxic, or harmful content is used during the construction of this dataset.



Continuous Updates and Customization:

The entire dataset was prepared with the assistance of human curators from the FutureBeeAI crowd community. Ongoing efforts are made to add more assets to this dataset, ensuring its growth and relevance. Additionally, FutureBeeAI offers the ability to gather custom extraction prompt and completion data tailored to specific needs, providing flexibility and customization options.



License:

The dataset, created by FutureBeeAI, is now available for commercial use. Researchers, data scientists, and developers can leverage this fully labeled and ready-to-deploy Bahasa Extraction Prompt-Completion Dataset to enhance the data extraction abilities and accurate response generation capabilities of their generative AI models and explore new approaches to NLP tasks.


Use Cases

Question Answer Dataset for Language Model Training

Language Model Training

extraction dataset for natural language understanding

Natural Language Understanding

Dataset Sample(s)

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Dataset Details

Details Headline

Dataset type

Extraction Prompt & Response Dataset

Volume

1500+

Media type

Text

Language

Bahasa

Domain

science, history, technology,...more

File Details

Details Headline

Format

JSON, CSV

Annotation

Yes

Schema Element

unique_id, ,...more

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