AI-Shift Ameba FAQ Search by Kaggle | Technology and IT

About this Dataset

AI-Shift Ameba FAQ Search

Queries and difficulty levels for AI-based FAQ search

By ai-shift (From Huggingface) [source]

About this dataset

The ai-shift/ameba_faq_search dataset provides a comprehensive collection of FAQ and query data, specifically tailored for training and evaluating an AI-based FAQ search system. This dataset is developed using a large language model, ensuring accurate results and enhanced performance.

The dataset comprises several columns containing essential information. Firstly, the Query column consists of various queries or questions that users commonly ask when seeking specific information. These queries serve as representative samples that reflect users' search patterns.

Apart from the queries, the dataset also includes a column called Difficulty, which indicates the level of complexity associated with each query. This difficulty level helps gauge how challenging it might be to find an appropriate answer for each question within the provided dataset.

To facilitate proper understanding and utilization of this dataset, it consists of multiple repetitions of these key columns: Query and Difficulty. Repetition is utilized to ensure inclusivity and provide sufficient data points to train an effective AI-based FAQ search model.

In addition to serving as a training resource, this dataset also offers separate validation files (validation.csv) to accurately measure and evaluate the performance of the AI models trained on this data. Likewise, test files (test.csv) are provided separately for testing purposes during development.

By leveraging this extensive 'ai-shift/ameba_faq_search' dataset developed explicitly for building advanced faq search systems powered by artificial intelligence technologies, developers can enhance their solutions' accuracy in providing valuable information in response to user queries

Research Ideas

Customer Support: This dataset can be used to develop an AI-based FAQ search system for customer support. By training the model on this dataset, it can provide accurate and relevant answers to user queries, helping customers find the information they need easily.

Knowledge Management: Companies or organizations can use this dataset to build a knowledge base that employees or users can search through to find answers to their questions. The difficulty level column can be used to prioritize certain queries or topics for better organization and accessibility of information.

Chatbot Development: With this dataset, developers can train chatbots to understand user queries and provide appropriate responses based on the difficulty level of each query. This could enhance the efficiency and effectiveness of chatbots in providing helpful information quickly.

Search Engine Optimization (SEO): Website owners and marketers could analyze this dataset to understand popular queries or questions users have when searching for specific information. This insight could inform content creation strategies, optimizing website content targeting frequently asked questions, improving search engine rankings and driving more traffic.

Language Model Training: Researchers in natural language processing (NLP) could use this dataset for training AI models on question answering tasks or for evaluating their performance on understanding user queries with varying levels of difficulty.

Competitive Analysis: Companies developing AI-based FAQ search systems or chatbots can compare their own datasets with this one as a benchmark, allowing them to identify gaps in their existing data collection process and improve upon it.

Personalized Recommendations- This Dataset might by using some algorithms help delivering promted/popular/recommended question based upon previous searches/query patters.

These are just a few examples of how this cleverly organized dataset could be utilized!

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: validation.csv

Column name	Description
Query	This column contains user queries or questions that are commonly searched when seeking information. (Text)
Difficulty	The difficulty level column provides insights into how challenging it may be to find answers to specific queries within the dataset. (Text)

File: train.csv

Column name	Description
Query	This column contains user queries or questions that are commonly searched when seeking information. (Text)
Difficulty	The difficulty level column provides insights into how challenging it may be to find answers to specific queries within the dataset. (Text)

File: test.csv

Column name	Description
Query	This column contains user queries or questions that are commonly searched when seeking information. (Text)
Difficulty	The difficulty level column provides insights into how challenging it may be to find answers to specific queries within the dataset. (Text)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit ai-shift (From Huggingface).

Tables

Test

@kaggle.thedevastator_ai_shift_ameba_faq_search_dataset.test

30.94 KB
837 rows
3 columns


CREATE TABLE test (
  "id" VARCHAR,
  "query" VARCHAR,
  "difficulty" VARCHAR
);

Train

@kaggle.thedevastator_ai_shift_ameba_faq_search_dataset.train

46.74 KB
1313 rows
3 columns


CREATE TABLE train (
  "id" VARCHAR,
  "query" VARCHAR,
  "difficulty" VARCHAR
);

Validation

@kaggle.thedevastator_ai_shift_ameba_faq_search_dataset.validation

31.13 KB
792 rows
3 columns


CREATE TABLE validation (
  "id" VARCHAR,
  "query" VARCHAR,
  "difficulty" VARCHAR
);