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Deepberta Zinc Base 100k V1 dataset by aakothari
⭐ 28.4
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Dataset

Deepberta Zinc Base 100k V1

by aakothari aakothari/deepberta_zinc_base_100k_v1
Free2AITools Nexus Index
28.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 3
R: Recency 11
Q: Quality 65
Tech Context
Vital Performance —
Source β†’
Data Integrity 28.4 FNI Score
- Size
- Rows
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Dataset Information Summary
Entity Passport
Registry ID aakothari/deepberta_zinc_base_100k_v1
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_aakothari_deepberta_zinc_base_100k_v1,
  author = {aakothari},
  title = {Deepberta Zinc Base 100k V1 Dataset},
  year = {2025},
  howpublished = {\url{https://huggingface.co/aakothari/DeepBERTa_zinc_base_100k_v1}},
  note = {Accessed via Free2AITools.}
}
APA Style
aakothari. (2025). Deepberta Zinc Base 100k V1 [Dataset]. Free2AITools. https://huggingface.co/aakothari/DeepBERTa_zinc_base_100k_v1

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 3
Recency (R) 11
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Deepberta Zinc Base 100k V1: Authority (A:29), Popularity (P:3), Recency (R:11), Quality (Q:65). 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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Downloads
30

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Dataset Specification

No documentation available for this entry.

Social Proof

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30Downloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
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Source summary: Based on Hugging Face metadata. Not a recommendation.

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πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--aakothari--deepberta_zinc_base_100k_v1
slug
aakothari--deepberta_zinc_base_100k_v1
source
huggingface
author
aakothari
tags
transformers, safetensors, roberta, fill-mask, chemistry, chemberta, pytorch, mlm, dataset:zinc, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
RobertaForMaskedLM
params billions
0.04
context length
512
pipeline tag
fill-mask

πŸ“Š Engagement & Metrics

downloads
30
stars
0
forks
0

Data indexed from public sources. Updated daily.