datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
58_books_religious_textThis dataset was made from 58 books on religion. The books were only processed by cleaning scripts and still contain elemets such as page nubers, table of contents, glossaries and other unwanted data.
This was created to establish a tuning workflow with the intention of improving the data later.
adaption-religious-holidays
This dataset is a remastered version prepared using Adaption's Adaptive Data platform. Part of the Adaptation's Uncharted Data Challenge
Learn more about my dataset on Substack: https://tveshashah.substack.com/p/i-built-an-ai-training-dataset-with
Github with quick prototype using the data: https://github.com/txshah/chrome-holiday-pet
adaption-religious holidays
This dataset contains prompt-completion pairs detailing the operational impact of specific religious festivals, such as… See the full description on the dataset page: https://huggingface.co/datasets/txshah/adaption-religious-holidays.Religious-Ceremony-Type-Recognition-Dataset
Religious Ceremony Type Recognition Dataset
Currently, as globalization accelerates, the religious ceremonies of various countries and ethnic groups are increasingly attracting the attention of scholars. However, accurately identifying and analyzing these ceremonies in the context of cultural exchange and understanding remains a pressing issue. Existing solutions rely on manual observation and record-keeping, which are inefficient and prone to error. This dataset focuses on the… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/Religious-Ceremony-Type-Recognition-Dataset.Religious-Ceremony-Type-Recognition-Dataset
Religious Ceremony Type Recognition Dataset
Currently, as globalization accelerates, the religious ceremonies of various countries and ethnic groups are increasingly attracting the attention of scholars. However, accurately identifying and analyzing these ceremonies in the context of cultural exchange and understanding remains a pressing issue. Existing solutions rely on manual observation and record-keeping, which are inefficient and prone to error. This dataset focuses on the… See the full description on the dataset page: https://huggingface.co/datasets/shangzx/Religious-Ceremony-Type-Recognition-Dataset.RAG-Bench-ReligiousE2E
Dataset Structure
This dataset contains two subsets:
QA: Question-answer pairs (Single-turn)
question (string): The question text.
ground_truth (string): The reference response.
Documents: Document contents
id (string): Unique document identifier.
content (string): The document text content.
Data Construction
The data is constructed using Real-World System Data;
Queries and their corresponding reference answers are collected from existing system records.… See the full description on the dataset page: https://huggingface.co/datasets/QomSSLab/RAG-Bench-ReligiousE2E.RAG-Bench-Religious
Dataset Structure
This dataset contains two subsets:
QA: Question-answer pairs with document IDs
question (string): The question text
doc_id (string): Reference ID to the corresponding document
Documents: Document contents referenced by the QA subset
id (string): Unique document identifier
content (string): The document text content
Data Construction
The data is constructed using Real-World System Data;
Queries and their corresponding reference answers are… See the full description on the dataset page: https://huggingface.co/datasets/QomSSLab/RAG-Bench-Religious.religious-debate-vectorsRAG-Bench-Religious-v2
Dataset Structure
This dataset contains two subsets:
QA: Question-answer pairs with document IDs
question (string): The question text
doc_id (string): Reference ID to the corresponding document
Documents: Document contents referenced by the QA subset
id (string): Unique document identifier
content (string): The document text content
Data Construction
The data is constructed using Real-World System Data;
Queries and their corresponding reference answers are… See the full description on the dataset page: https://huggingface.co/datasets/QomSSLab/RAG-Bench-Religious-v2.