license: cc-by-sa-4.0
language:
- bo
pretty_name: Sakya Library Texts
size_categories:
- n<1K
Sakya Library Texts Dataset
Description
This dataset contains the digitized texts from the Sakya Library, which are openly available on their official website. The Sakya Library is an esteemed repository of Tibetan Buddhist literature associated with the Sakya tradition.
The texts cover a range of topics and have been digitized as part of an effort to preserve and share these invaluable resources. This dataset is an unofficial compilation and is not directly affiliated with the Sakya Monastery or its official digital library. It includes only texts that are publicly accessible and excludes those intended solely for practitioners guided by a Lama.
Please note that these texts contain religious content, so I ask you to treat this with respect.
Features
The dataset has the following fields:
- category: (string) The category or topic of the text.
- title: (string) The title of the text.
- author: (string) The author of the text.
- content: (string) The full content of the text.
License
This dataset is made available under the CC BY-NC-SA 4.0 license. You can read the full license here.
Citation
If you use this dataset, please cite it as:
@dataset{huggingface_sakya_library, title = {Sakya Library Texts Dataset}, author = {hallerite}, year = {2024}, url = {https://huggingface.co/datasets/hallerite/sakya-library-texts}, note = {This dataset is derived from publicly accessible texts available at http://sakyalibrary.com and is not an official representation of the Sakya Library.} }
Homepage
For more information about the original texts, visit the Sakya Library's official website.
Dataset Info
The following technical details provide an overview of the dataset's structure and size:
dataset_info:
features:
- name: category
dtype: string
- name: title
dtype: string
- name: author
dtype: string
- name: content
dtype: string
splits:
- name: train
num_bytes: 282636238
num_examples: 783
download_size: 72364971
dataset_size: 282636238
configs:
- config_name: default
data_files:
- split: train
path: data/train-*