Datasets:

mkurman
/

hindawi-journals-2007-2023

license: cc-by-4.0
task_categories:
  - text-generation
  - text-classification
  - question-answering
language:
  - en
tags:
  - scientific-papers
  - academic-research
  - hindawi
  - biomedical
  - research-articles
  - filtered
  - medicine
  - clinical
  - math
  - engineering
  - physics
  - chemistry
  - biology
  - computer-science
  - earth-sciences
  - agricultural-sciences
  - social-sciences
  - business
  - other
  - geosciences
  - veterinary
  - cc-by-compatible
size_categories:
  - 100K<n<1M
source_datasets:
  - original

Hindawi Academic Papers Dataset (CC BY 4.0 Compatible)

Dataset Description

This dataset contains 299,316 academic research papers from Hindawi Publishing Corporation, carefully filtered to include only papers with licenses compatible with CC BY 4.0. The dataset includes comprehensive metadata for each paper including titles, authors, journal information, publication years, DOIs, and full-text content.

Dataset Summary

Total Papers: 299,316 (filtered from 299,363 original papers)
Source: Hindawi Publishing Corporation
Format: Structured dataset with metadata and full-text content
Language: English
License: CC BY 4.0 (all constituent papers are CC BY 4.0 compatible)
Time Period: 2007 - 2023
Filtering: Removed 47 papers with incompatible licenses (Unknown, BY-NC)

Key Statistics

Content Statistics

Average content length: 42,866 characters
Average authors per paper: 4.7
Shortest paper: 51 characters
Longest paper: 939,992 characters

Temporal Distribution

Publication years: 2007 - 2023
Papers with year information: 299,192 (100.0%)

Data Completeness

Title: 299,316 papers (100.0%)\n- Authors: 299,298 papers (100.0%)\n- Journal: 299,316 papers (100.0%)\n- Year: 299,192 papers (100.0%)\n- Publisher: 299,316 papers (100.0%)\n- License: 299,316 papers (100.0%)\n- Doi: 299,316 papers (100.0%)\n- Source File: 299,316 papers (100.0%)\n

Top Journals (by number of papers)

BioMed Research International: 23,967 papers (8.0%)\n- Mathematical Problems in Engineering: 20,254 papers (6.8%)\n- Evidence-Based Complementary and Alternative Medicine: 12,448 papers (4.2%)\n- The Scientific World Journal: 7,923 papers (2.6%)\n- Oxidative Medicine and Cellular Longevity: 7,154 papers (2.4%)\n- Journal of Nanomaterials: 5,623 papers (1.9%)\n- Advances in Materials Science and Engineering: 5,515 papers (1.8%)\n- Complexity: 5,471 papers (1.8%)\n- Wireless Communications and Mobile Computing: 5,308 papers (1.8%)\n- Computational Intelligence and Neuroscience: 5,254 papers (1.8%)\n

Top Publishers (by number of papers)

Hindawi: 161,322 papers (53.9%)\n- Hindawi Publishing Corporation: 130,378 papers (43.6%)\n- International Scholarly Research Network: 3,821 papers (1.3%)\n- SAGE-Hindawi Access to Research: 2,430 papers (0.8%)\n- The Scientific World Journal: 1,138 papers (0.4%)\n- Scholarly Research Exchange: 110 papers (0.0%)\n- TheScientificWorldJOURNAL: 66 papers (0.0%)\n- Hindawi Access to Research: 5 papers (0.0%)\n- Case Reports in Anesthesiology: 2 papers (0.0%)\n- Scientifica: 2 papers (0.0%)\n

Dataset Structure

Data Fields

text: Original markdown text of the paper
filename: Original filename of the source file
file_size: Size of the original file in bytes
title: Extracted paper title
category: Category based on journal name
authors: Semicolon-separated list of authors
journal: Journal name and publication year
year: Extracted publication year
publisher: Publisher name
license: License name (all CC BY 4.0 compatible)
license_url: Original license URL (all CC BY 4.0 compatible)
doi: Digital Object Identifier
source_file: Source XML file reference
content: Main text content (excluding metadata)

Data Splits

This dataset does not have predefined splits. Users should create their own train/validation/test splits as needed for their specific use case.

Dataset Creation

Source Data

The data originates from Hindawi Publishing Corporation's collection of academic papers, originally in XML format and converted to markdown. Hindawi is an open-access publisher focusing on scientific, technical, and medical research.

Data Processing and Filtering

Initial Format: Papers were originally in XML format
Conversion: Converted to markdown format
Parsing: Metadata extracted using regex patterns
License Filtering: IMPORTANT - Removed 47 papers with:
- Unknown licenses (46 papers)
- Non-commercial restrictions (CC BY-NC) (1 paper)
Final Dataset: Only papers with CC BY 4.0 compatible licenses retained

Filtering Criteria

Papers were kept if they had licenses compatible with CC BY 4.0:

✅ Kept: CC BY 4.0, CC BY 3.0, CC BY 2.0, CC BY-SA 4.0, CC BY-SA 3.0, CC0 1.0, MIT, Apache 2.0, BSD
❌ Removed: CC BY-NC (any version), CC BY-ND, Unknown licenses, Custom licenses

Personal and Sensitive Information

This dataset contains academic papers that are publicly available. Author names and affiliations are included as part of the academic publication metadata. No personal sensitive information beyond standard academic attribution is included.

Considerations for Using the Data

Social Impact of Dataset

This dataset can be used for:

Academic research and literature analysis
Training models for scientific text understanding
Citation analysis and bibliometric studies
Content analysis of academic publications
Commercial applications (all papers are CC BY 4.0 compatible)

Discussion of Biases

Geographic bias: Papers may be skewed toward certain regions/institutions that publish with Hindawi
Temporal bias: Coverage may vary across different time periods
Subject bias: Hindawi's focus areas may not represent all academic disciplines equally
Language bias: Dataset is primarily in English
License bias: Dataset now excludes papers with non-commercial restrictions, potentially affecting content diversity

Other Known Limitations

Some metadata fields may be incomplete due to parsing limitations
Original formatting and figures are not preserved in the text content
Mathematical formulas may not be properly formatted in plain text
47 papers were removed due to license compatibility requirements

Additional Information

Licensing Information

This dataset is released under CC BY 4.0 license. All constituent papers have been verified to have CC BY 4.0 compatible licenses, making this dataset safe for commercial use and redistribution.

License Compatibility Verification: Every paper in this dataset has been automatically verified to have a license compatible with CC BY 4.0. Papers with unknown, non-commercial, or incompatible licenses have been removed.

Citation Information

If you use this dataset, please cite the original Hindawi papers as appropriate for your use case. Additionally, consider citing this dataset:

@dataset{hindawi_academic_papers_filtered,
  title={Hindawi Academic Papers Dataset (CC BY 4.0 Compatible)},
  author={Mariusz Kurman},
  year={2025},
  publisher={Hugging Face},
  note={Filtered compilation from Hindawi Publishing Corporation papers - CC BY 4.0 compatible subset}
}

Contributions

Dataset compiled and structured from publicly available Hindawi academic papers. Original content copyright belongs to the respective authors and Hindawi Publishing Corporation. This dataset has been filtered to ensure CC BY 4.0 compatibility.

Dataset Card Creation

This dataset card was generated on 2025-06-09 and contains statistics based on the filtered dataset of 299,316 papers (filtered from 299,363 original papers).