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Autotrain Bart Meeting Summarization 1648858537 dataset by abrizk
⭐ 25.6
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Dataset

Autotrain Bart Meeting Summarization 1648858537

by abrizk hf-model--abrizk--autotrain-bart-meeting-summarization-1648858537
Nexus Index
25.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 23
Tech Context
Vital Performance
0 DL / 30D
0.0%
Data Integrity 25.6 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-model--abrizk--autotrain-bart-meeting-summarization-1648858537
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_model__abrizk__autotrain_bart_meeting_summarization_1648858537,
  author = {abrizk},
  title = {Autotrain Bart Meeting Summarization 1648858537 Dataset},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/dataset/hf-model--abrizk--autotrain-bart-meeting-summarization-1648858537}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
abrizk. (2026). Autotrain Bart Meeting Summarization 1648858537 [Dataset]. Free2AITools. https://free2aitools.com/dataset/hf-model--abrizk--autotrain-bart-meeting-summarization-1648858537

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
25.6
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 0
Recency (R) 100
Quality (Q) 23

đŸ’Ŧ Index Insight

FNI V2.0 for Autotrain Bart Meeting Summarization 1648858537: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:100), Quality (Q:23).

Free2AITools Nexus Index

Verification Authority

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

👁ī¸ Data Preview

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Row-level preview not available for this dataset.

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

đŸ§Ŧ Field Logic

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Schema not yet indexed for this dataset.

Dataset Specification

Model Trained Using AutoTrain

  • Problem type: Summarization
  • Model ID: 1648858537
  • CO2 Emissions (in grams): 0.3761

Validation Metrics

  • Loss: 1.397
  • Rouge1: 47.841
  • Rouge2: 25.557
  • RougeL: 40.740
  • RougeLsum: 44.113
  • Gen Len: 18.418

Usage

You can use cURL to access this model:

text 
$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/abrizk/autotrain-bart-meeting-summarization-1648858537
🤗 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-model--abrizk--autotrain-bart-meeting-summarization-1648858537
slug
abrizk--autotrain-bart-meeting-summarization-1648858537
source
huggingface
author
abrizk
license
tags

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

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Data indexed from public sources. Updated daily.