This dataset was created to test two different things:
First, check LLM's capabilities of augmenting data in a coherent way.
Second, create a dataset to finetune LLMs for the QA task.

The dataset contains the frequently asked questions and their answers of a made-up online fashion marketplace called: Nels Marketplace.
task_categories:question-answering language:en license:mit finance region:us
{"language": ["en"], "license": "mit", "task_categories": ["question-answering"], "tags": ["finance"], "dataset_info": {"features": [{"name": "Instruction", "dtype": "string"}, {"name": "Question", "dtype": "string"}, {"name": "Context/Answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 121719, "num_examples": 84}], "download_size": 25676, "dataset_size": 121719}}
TAGS
#task_categories-question-answering #language-English #license-mit #finance #region-us 

This dataset was created to test two different things:
First, check LLM's capabilities of augmenting data in a coherent way.
Second, create a dataset to finetune LLMs for the QA task.

The dataset contains the frequently asked questions and their answers of a made-up online fashion marketplace called: Nels Marketplace.
TAGS
#task_categories-question-answering #language-English #license-mit #finance #region-us 

passage: TAGS
#task_categories-question-answering #language-English #license-mit #finance #region-us 
