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AI Query Difficulty Dataset
Data Science and Analytics
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About
This dataset provides a collection of FAQ and query data, specifically tailored for training and evaluating an AI-based FAQ search system. Developed using a large language model, it aims to ensure accurate results and enhanced performance for AI solutions [1]. It is designed to enhance the accuracy of providing valuable information in response to user queries [1].
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Columns
The dataset consists of several files, including
train.csv, validation.csv, and test.csv, all sharing a consistent column structure [1].-
Query: This column contains user queries or questions that are commonly searched when seeking information [1, 2]. These queries serve as representative samples of user search patterns [1].
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Difficulty: This column provides insights into how challenging it may be to find answers to specific queries within the dataset [1, 2]. The difficulty level can help gauge the complexity of each question [1].
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ID/Id: This column is present in the
test.csvfile [2]. No description for this column is provided in the given sources. -
Distribution
The dataset is structured with multiple repetitions of the Query and Difficulty columns to ensure inclusivity and provide sufficient data points for training an effective AI-based FAQ search model [1]. It includes separate
validation.csv files for performance measurement and test.csv files for testing during development [1]. The 'difficulty' column contains 837 unique values [3]. The distribution of difficulty levels is largely categorised as 'easy' at 82% and 'hard' at 18% [3]. Specific FAQ categories like faq_220 and faq_212 each account for 3% of the data, while 'Other' accounts for 95% across 792 entries [3].-
Usage
This cleverly organised dataset can be utilised for various applications:
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Customer Support: Develop an AI-based FAQ search system to provide accurate and relevant answers to user queries, helping customers find information easily [1].
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Knowledge Management: Build a knowledge base for employees or users, utilising the difficulty level to prioritise certain queries or topics for better organisation and accessibility [1].
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Chatbot Development: Train chatbots to understand user queries and provide appropriate responses based on the difficulty level, enhancing efficiency and effectiveness [1].
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Search Engine Optimisation (SEO): Analyse popular queries to inform content creation strategies, optimising website content for frequently asked questions, improving search engine rankings, and driving traffic [1].
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Language Model Training: Researchers in Natural Language Processing (NLP) can use this dataset for training AI models on question answering tasks or evaluating their performance on understanding user queries with varying levels of difficulty [1].
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Competitive Analysis: Companies developing AI-based FAQ search systems can benchmark their own datasets against this one to identify gaps and improve their data collection [1].
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Personalised Recommendations: Algorithms might use this dataset to help deliver promoted, popular, or recommended questions based on previous searches or query patterns [1].
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Coverage
The dataset's region coverage is Global [4]. No specific time range or demographic scope information is available in the provided sources.
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License
CC0
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Who Can Use It
This dataset is ideal for:
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AI and Machine Learning Developers: For building and evaluating AI-based FAQ search systems, chatbots, and language models [1].
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Data Scientists and Analysts: For research in NLP, question answering tasks, and understanding user query patterns [1].
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Organisations and Businesses: For creating knowledge bases, enhancing customer support, and optimising content for SEO [1].
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Marketers and Website Owners: To gain insights into popular user queries for content strategy and search engine ranking improvement [1].
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Dataset Name Suggestions
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AI-Shift Ameba FAQ Search Dataset
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AI Query Difficulty Dataset
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Advanced FAQ Search Training Data
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Customer Support Query Intelligence
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Attributes
Original Data Source:AI-Shift Ameba FAQ Search
QUALITY