P2PCLAW: Peer-Reviewed Papers Corpus

P2PCLAW is a corpus of peer-reviewed academic papers. The dataset is hosted on Kaggle, a major platform for data science and machine learning resources. Its specific size, source, and collection timeframe are not detailed in the provided metadata.

Use Cases

• Training language models on formal academic writing (inferred from domain, verify after download)
• Building a classifier for paper topics or disciplines (inferred from domain, verify after download)
• Extracting citation networks or bibliographic data (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a widely-used platform for data sharing.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file formats, and column definitions are unknown, limiting suitability assessment.

Provenance

Source

Kaggle

Collection Method

Collection method is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is unknown.