πŸ“Š
Dataset

Questionanswering V2

by abdalrahmanshahrour abdalrahmanshahrour/questionanswering-v2
Free2AITools Nexus Index
22.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 0
Q: Quality 50
Tech Context
Vital Performance —
Data Integrity 22.6 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID abdalrahmanshahrour/questionanswering-v2
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset_abdalrahmanshahrour_questionanswering_v2,
  author = {abdalrahmanshahrour},
  title = {Questionanswering V2 Dataset},
  year = {2022},
  howpublished = {\url{https://huggingface.co/abdalrahmanshahrour/questionanswering-v2}},
  note = {Accessed via Free2AITools.}
}
APA Style
abdalrahmanshahrour. (2022). Questionanswering V2 [Dataset]. Free2AITools. https://huggingface.co/abdalrahmanshahrour/questionanswering-v2

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) 1
Recency (R) 0
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Questionanswering V2: Authority (A:0), Popularity (P:1), Recency (R:0), Quality (Q:50). 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
12

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

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Dataset Specification

No documentation available for this entry.

Social Proof

HuggingFace Hub
12Downloads
πŸ”„ Updated daily

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--abdalrahmanshahrour--questionanswering-v2
slug
abdalrahmanshahrour--questionanswering-v2
source
huggingface
author
abdalrahmanshahrour
license
Apache-2.0
tags
transformers, pytorch, bert, question-answering, en, dataset:squad, license:apache-2.0, model-index, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
BertForQuestionAnswering
context length
512
pipeline tag
question-answering

πŸ“Š Engagement & Metrics

downloads
12
stars
0
forks
0

Data indexed from public sources. Updated daily.