sayurio/ekpatagolpo-scrape-bangla-literature

Ekpatagolpo Bengali Stories Archive

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Overview

This repository contains a large-scale, curated text dataset scraped from ekpatagolpo.com. The primary goal of this archive is to preserve a massive collection of purely human-written Bengali literature and stories (Bangla Golpo), creating a distinct record of human creativity separate from AI-generated text.

Purpose and Usage

This dataset is published publicly under the MIT license and is intended strictly for educational, research, linguistic analysis, and archival purposes. It serves as a valuable resource for NLP (Natural Language Processing) researchers, data scientists, and linguists studying the Bengali language and digital literature.

Dataset Details

• Source: ekpatagolpo.com
• Collection Method: Web scraping
• Content Type: Text (Bengali stories/literature written by humans without the use of AI)
• Format: JSON Lines (.jsonl)
• File Size: ~2.38 GB
• Number of pages: 45119

Copyright and Fair Use Disclaimer

This archive is created under the principles of Fair Use (under Section 107 of the Copyright Act) for purposes such as criticism, comment, news reporting, teaching, scholarship, and research.

• No Ownership Claimed: The creator of this repository does not claim any ownership, authorship, or copyright over the original content. All rights, title, and interest in the original text remain entirely with their respective creators and ekpatagolpo.com.
• Non-Commercial: This dataset is provided completely free of charge and is not intended for commercial gain or profit.
• Transformative Use: The data has been aggregated and formatted specifically for computational analysis, archiving, and educational study, representing a transformative use of the original publicly available material.

Takedown Requests: If you are a copyright holder of any material included in this dataset and wish for it to be removed from this archive, please open an issue or contact the repository owner directly. Please submit an individual removal request specifying the exact text snippet, URL, or identifier for every single story you wish to have taken down so it can be accurately located within the 2.38 GB dataset and removed.

How to Use

You can load this dataset directly into your Python environment using the Hugging Face datasets library:

from datasets import load_dataset

# Load the JSONL dataset
dataset = load_dataset("sayurio/ekpatagolpo-scrape", data_files="ekpatagolpo.com.jsonl")

# View the first entry
print(dataset['train'][0])