| --- |
| license: cc-by-sa-4.0 |
| --- |
| ```markdown |
| # RexTRO111/articles |
| |
| Welcome to the **RexTRO111/articles** dataset. This repository contains a curated, multi-source text dataset specifically preprocessed and structured for large language model (LLM) pretraining, fine-tuning, and natural language processing pipelines. 🌐 |
| |
| The dataset features a clean, flat architecture optimized for high-performance streaming and distributed data loading. 📊 |
| |
| ## 📂 Dataset Structure |
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| The dataset is saved in the Apache Parquet format. Each shard contains a flat schema with the following fields: |
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| * `text` (string): The raw extracted text content, split exactly into **one line per paragraph** to preserve natural semantic context and chunking boundaries. |
| * `url` (string): The exact source URL from which the text was extracted to maintain strict provenance and citation history. |
| |
| ### Repository Layout |
| ```bash |
| . |
| ├── README.md |
| ├── articles-0000.parquet |
| └── ... |
|
|
| ``` |
| |
| ## 🛠️ Data Sources & Curation |
| |
| This dataset aggregates high-quality, text-dense knowledge bases from across the web: |
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| 1. **Wikipedia**: Extracted main body content covering diverse domains, providing broad foundational knowledge. 📖 |
| 2. **arXiv**: Academic abstracts and structured paper content spanning machine learning, computer science, and related fields. 🔬 |
| 3. **Other Text Repositories**: Integrated text sequences designed to improve the general knowledge and reasoning capabilities of language models. 🧠 |
| |
| ## 🚀 Quick Start / How to Use |
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| You can easily stream or load this dataset using `pandas` or the Hugging Face `datasets` library. |
| |
| ### Using Pandas 🐼 |
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| ```python |
| import pandas as pd |
|
|
| # Load a specific shard |
| df = pd.read_parquet("articles-0000.parquet") |
| print(df.head()) |
| |
| ``` |
| |
| ### Using Hugging Face Datasets 🤗 |
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| ```python |
| from datasets import load_dataset |
|
|
| dataset = load_dataset("RexTRO111/articles") |
| print(dataset["train"][0]) |
| |
| ``` |
| |
| ## ⚖️ Licensing & Terms |
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| This dataset is licensed under the **Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)** license. |
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| * **Attribution**: You must give appropriate credit, provide a link to the license, and indicate if changes were made. |
| * **ShareAlike**: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. |
| * *Disclaimer*: Content included in this dataset is gathered from public web sources. Users are responsible for ensuring downstream compliance regarding fair use and source-specific terms (such as individual author licenses on arXiv). |
| |
| ``` |
