faq
Datasets
All datasets matching “faq”Customer_support_faqs_datasetDataset Name: Customer Support FAQs Dataset
Description:
This dataset contains a collection of 200 frequently asked questions (FAQs) and their corresponding answers, designed to assist in customer support scenarios. The questions cover a wide range of common customer inquiries related to account management, payment methods, order tracking, shipping, returns, and more. This dataset is intended for use in developing and training AI models for customer support chatbots, automated response systems… See the full description on the dataset page: https://huggingface.co/datasets/MakTek/Customer_support_faqs_dataset.faq-bacen
FaqBacenRetrieval
Retrieve the correct answer to a citizen question about Brazilian financial/banking regulation, from the Banco Central do Brasil (BACEN) public FAQ. 373 test questions over a pool of 1673 unique regulatory answers. Native PT-BR; financial/government domain.
Part of MTEB-BR — the native Brazilian-Portuguese MTEB sub-benchmark. Task type: Retrieval · Language: Brazilian Portuguese (mined from real-world sources) · Domains: Financial, Government, Written.… See the full description on the dataset page: https://huggingface.co/datasets/MTEB-BR/faq-bacen.faquad-ir
FaQuADIR
FaQuAD reformulated as PT-BR academic retrieval: given a question about Brazilian higher education, retrieve the source paragraph containing the answer. 900 questions over 244 unique paragraphs, drawn from 18 official documents of a federal-university CS program plus 21 Wikipedia articles about Brazil's higher-education system. Complements legal/web retrieval domains with academic/educational content.
Part of MTEB-BR — the native Brazilian-Portuguese MTEB sub-benchmark.… See the full description on the dataset page: https://huggingface.co/datasets/MTEB-BR/faquad-ir.sap_faqMental_Health_FAQ
License & Attribution
MTEB-format derivative of tolu07/Mental_Health_FAQ. Licensed under MIT (same as source). Text encoding repaired with ftfy.
faq
QA4FAQ @ EVALITA 2016
Original dataset information available here
Data format
The data has been converted to be used as a questin answering task.
There are two splits, test-1 and test-2, each containing the same data processed in slightly different ways.
test-1
The data is in jsonl format, where each line is a json object with the following fields:
id: a unique identifier for the question
question: the question
A, B, C, D: the possible answers to the question… See the full description on the dataset page: https://huggingface.co/datasets/evalitahf/faq.