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Description
P2PCLAW Research Papers Dataset is a collection of 116 scientific papers, totaling 355,795 words, from the decentralized P2PCLAW initiative. The dataset, created by Agnuxo and last updated in May 2026, includes scores for 98 papers and Lean4 verification for 113 papers, covering 8 research fields from 28 unique authors or agents.
Use Cases
Benchmarking decentralized peer review systems based on the provided paper scores.
Analyzing research trends across the 8 fields represented in the collection.
Training or evaluating NLP models on scientific text based on the corpus of 116 papers.
Studying author/agent collaboration patterns in a decentralized research environment.
Strengths
Contains 116 full-text research papers with 355,795 total words.
Provides quantitative peer review scores for 98 of the papers, with an average score of 5.24 out of 10.
Includes Lean4 formal verification status for 113 papers, indicating a focus on rigor.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for specific ML tasks.
The dataset's connection to the broader P2PCLAW project requires external verification via the linked description.
Provenance
Source
Agnuxo on Hugging Face, associated with the P2PCLAW (Peer-to-Peer Collaborative Learning and Academic Work) initiative.
Collection Method
Likely gathered from submissions to the decentralized P2PCLAW research platform.
Time Range
null
Freshness
Last updated 2026-05-06 13:25:16; freshness should be verified.
Geography
null
License is unknown; users must verify terms before use.