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Dataset

Penta Vit Experiments

Name: Penta Vit Experiments
Creator: AbstractPhil
License: MIT

by AbstractPhil abstractphil/penta-vit-experiments

Free2AITools Nexus Index

27.6

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29

P: Popularity 0

R: Recency 23

Q: Quality 50

Tech Context

Vital Performance —

Source →

Data Integrity 27.6 FNI Score

- Size

- Rows

- Tokens

Dataset Information Summary
Entity Passport
Registry ID	abstractphil/penta-vit-experiments
License	MIT
Provider	huggingface

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Cite this dataset

Academic & Research Attribution

BibTeX

@misc{hf_dataset_abstractphil_penta_vit_experiments,
  author = {AbstractPhil},
  title = {Penta Vit Experiments Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AbstractPhil/penta-vit-experiments}},
  note = {Accessed via Free2AITools.}
}

APA Style

AbstractPhil. (2026). Penta Vit Experiments [Dataset]. Free2AITools. https://huggingface.co/AbstractPhil/penta-vit-experiments

🔬Technical Deep Dive

Full Specifications [+]

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29

Popularity (P) 0

Recency (R) 23

Quality (Q) 50

💬 Index Insight

FNI V2.0 for Penta Vit Experiments: Authority (A:29), Popularity (P:0), Recency (R:23), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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Schema structure is shown in the Field Logic panel when available.

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Schema not yet indexed for this dataset.

Dataset Specification

No documentation available for this entry.

🤗 Data Source: Hugging Face ↗

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Source summary: Based on Hugging Face metadata. Not a recommendation.

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🛡️ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-dataset--abstractphil--penta-vit-experiments
slug: abstractphil--penta-vit-experiments
source: huggingface
author: AbstractPhil
license: MIT
tags: tensorboard, zero-shot-classification, dataset:abstractphil/geometric-vocab, license:mit, region:us

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag: zero-shot-classification

📊 Engagement & Metrics

downloads: 0
stars: 0
forks: 0

Data indexed from public sources. Updated daily.