p2p
Datasets
All datasets matching “p2p”p2p-full-data
Open Pixel2Play (P2P) Full Dataset
Paper | GitHub | Project Page | Toy Dataset
The p2p-full-data dataset contains 8300+ hours of high-quality human annotated data, spanning across more than 40 popular 3D video games. All gameplay is recorded at 20 FPS by experienced players. Each frame is annotated with keyboard and mouse actions, and text instructionsare provided when available.
If you found the dataset helpful, please consider upvoting the paper so it can reach more people!… See the full description on the dataset page: https://huggingface.co/datasets/elefantai/p2p-full-data.biorxiv-clustering-p2p
BiorxivClusteringP2P.v2
An MTEB dataset
Massive Text Embedding Benchmark
Clustering of titles+abstract from biorxiv across 26 categories.
Task category
t2c
Domains
Academic, Written
Reference
https://api.biorxiv.org/
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["BiorxivClusteringP2P.v2"])
evaluator = mteb.MTEB(task)
model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/biorxiv-clustering-p2p.arxiv-clustering-p2p
ArXivHierarchicalClusteringP2P
An MTEB dataset
Massive Text Embedding Benchmark
Clustering of titles+abstract from arxiv. Clustering of 30 sets, either on the main or secondary category
Task category
t2c
Domains
Academic, Written
Reference
https://www.kaggle.com/Cornell-University/arxiv
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/arxiv-clustering-p2p.P2PEvalP2PCLAW-Innovative-Benchmark
P2PCLAW Innovative Benchmark
The first benchmark for AI scientific paper writing quality — multi-dimensional evaluation with formal verification.
View Live Leaderboard | Platform | API
What Makes This Benchmark Unique
Feature
Description
Multi-LLM Granular Scoring
17 independent LLM judges score each paper across 10 quality dimensions
Lean4 Formal Verification
Machine-verified proofs — no hand-waving
Tribunal Examination
8-question cognitive exam… See the full description on the dataset page: https://huggingface.co/datasets/Agnuxo/P2PCLAW-Innovative-Benchmark.medrxiv-clustering-p2p
MedrxivClusteringP2P.v2
An MTEB dataset
Massive Text Embedding Benchmark
Clustering of titles+abstract from medrxiv across 51 categories.
Task category
t2c
Domains
Academic, Medical, Written
Reference
https://api.medrxiv.org/
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["MedrxivClusteringP2P.v2"])
evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/medrxiv-clustering-p2p.