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Dataset

results

by mteb hf-dataset--mteb--results
Nexus Index
45.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 69
R: Recency 99
Q: Quality 30
Tech Context
Vital Performance
0 DL / 30D
0.0%
Data Integrity 45.7 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--mteb--results
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX
@misc{hf_dataset__mteb__results,
  author = {mteb},
  title = {results Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/mteb/results}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
mteb. (2026). results [Dataset]. Free2AITools. https://huggingface.co/datasets/mteb/results

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

âš–ī¸ Nexus Index V2.0

45.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 69
Recency (R) 99
Quality (Q) 30

đŸ’Ŧ Index Insight

FNI V2.0 for results: Semantic (S:50), Authority (A:0), Popularity (P:69), Recency (R:99), Quality (Q:30).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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Downloads
1.3M

đŸ‘ī¸ Data Preview

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

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đŸ§Ŧ Field Logic

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Dataset Specification

[!NOTE]
Previously, it was possible to submit model results to MTEB by adding them to the metadata of the model card on huggingface. However, this is no longer possible as we want to ensure that we can match the results with the model implementation. If you want to add your model, please follow the guide on how to do so.

This repository contains the results of the embedding benchmark evaluated using the package mteb.

Reference
đŸĻž Leaderboard An up to date leaderboard of embedding models
📚 mteb Guides and instructions on how to use mteb, including running, submitting scores, etc.
🙋 Questions Questions about the results
🙋 Issues Issues or bugs you have found

Social Proof

HuggingFace Hub
1.3MDownloads
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--mteb--results
slug
mteb--results
source
huggingface
author
mteb
license
tags
region:us

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
1,279,419
stars
9
forks
0

Data indexed from public sources. Updated daily.