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Dataset

Bantopics Encoder V1

by Accuknoxtechnologies accuknoxtechnologies/bantopics-encoder-v1
Free2AITools Nexus Index
38.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 79
Q: Quality 65
Tech Context
Vital Performance
Data Integrity 38.9 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID accuknoxtechnologies/bantopics-encoder-v1
License Apache-2.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset_accuknoxtechnologies_bantopics_encoder_v1,
  author = {Accuknoxtechnologies},
  title = {Bantopics Encoder V1 Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Accuknoxtechnologies/BanTopics-Encoder-v1}},
  note = {Accessed via Free2AITools.}
}
APA Style
Accuknoxtechnologies. (2026). Bantopics Encoder V1 [Dataset]. Free2AITools. https://huggingface.co/Accuknoxtechnologies/BanTopics-Encoder-v1

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 79
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Bantopics Encoder V1: Authority (A:0), Popularity (P:0), Recency (R:79), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data

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Dataset Specification

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

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Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--accuknoxtechnologies--bantopics-encoder-v1
slug
accuknoxtechnologies--bantopics-encoder-v1
source
huggingface
author
Accuknoxtechnologies
license
Apache-2.0
tags
transformers, safetensors, modernbert, text-classification, ban-topics, content-safety, moderation, security, multi-label, llm-guard, encoder, dataset:pku-alignment/beavertails, base_model:jhu-clsp/mmbert-base, base_model:finetune:jhu-clsp/mmbert-base, license:apache-2.0, text-embeddings-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
ModernBertForSequenceClassification
params billions
0.31
context length
4,096
pipeline tag
text-classification

πŸ“Š Engagement & Metrics

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stars
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Data indexed from public sources. Updated daily.