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Pt T5 Base Sci Cp 15k dataset by rausch
⭐ 36.9
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Dataset

Pt T5 Base Sci Cp 15k

by rausch hf-dataset--rausch--pt-t5-base-sci-cp-15k
Nexus Index
36.9 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 45
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Data Integrity 36.9 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--rausch--pt-t5-base-sci-cp-15k
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__rausch__pt_t5_base_sci_cp_15k,
  author = {rausch},
  title = {Pt T5 Base Sci Cp 15k Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/rausch/pt-t5-base-sci-cp-15k}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
rausch. (2026). Pt T5 Base Sci Cp 15k [Dataset]. Free2AITools. https://huggingface.co/datasets/rausch/pt-t5-base-sci-cp-15k

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
36.9
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 45

đŸ’Ŧ Index Insight

FNI V2.0 for Pt T5 Base Sci Cp 15k: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:45).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live

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

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Dataset Specification

🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--rausch--pt-t5-base-sci-cp-15k
slug
rausch--pt-t5-base-sci-cp-15k
source
huggingface
author
rausch
license
tags
transformers, safetensors, t5, text2text-generation, seq2seq, text-to-text, scientific-language-models, cross-lingual-transfer, wechsel, global-mmlu, pt, dataset:scilons/scilad-all-text-v1, base_model:unicamp-dl/ptt5-base-portuguese-vocab, text-generation-inference, endpoints_compatible, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
5
context length
15,360
pipeline tag

📊 Engagement & Metrics

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