πŸ“Š
Dataset

Roberta Llama3.1405b Twitter Sentiment

by AdamLucek adamlucek/roberta-llama3.1405b-twitter-sentiment
Free2AITools Nexus Index
24.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 4
R: Recency 2
Q: Quality 65
Tech Context
Vital Performance —
Data Integrity 24.8 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID adamlucek/roberta-llama3.1405b-twitter-sentiment
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset_adamlucek_roberta_llama3_1405b_twitter_sentiment,
  author = {AdamLucek},
  title = {Roberta Llama3.1405b Twitter Sentiment Dataset},
  year = {2024},
  howpublished = {\url{https://huggingface.co/AdamLucek/roberta-llama3.1405B-twitter-sentiment}},
  note = {Accessed via Free2AITools.}
}
APA Style
AdamLucek. (2024). Roberta Llama3.1405b Twitter Sentiment [Dataset]. Free2AITools. https://huggingface.co/AdamLucek/roberta-llama3.1405B-twitter-sentiment

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) 39
Popularity (P) 4
Recency (R) 2
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Roberta Llama3.1405b Twitter Sentiment: Authority (A:39), Popularity (P:4), Recency (R:2), 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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Downloads
37

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Dataset Specification

No documentation available for this entry.

Social Proof

HuggingFace Hub
37Downloads
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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--adamlucek--roberta-llama3.1405b-twitter-sentiment
slug
adamlucek--roberta-llama3.1405b-twitter-sentiment
source
huggingface
author
AdamLucek
license
Apache-2.0
tags
transformers, tensorboard, safetensors, roberta, text-classification, autotrain, en, base_model:facebookai/roberta-base, base_model:finetune:facebookai/roberta-base, doi:10.57967/hf/2917, license:apache-2.0, text-embeddings-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
RobertaForSequenceClassification
params billions
0.12
context length
512
pipeline tag
text-classification

πŸ“Š Engagement & Metrics

downloads
37
stars
0
forks
0

Data indexed from public sources. Updated daily.