ask-ubuntu
AskUbuntuDupQuestions
AskUbuntuDupQuestions
An MTEB dataset
Massive Text Embedding Benchmark
AskUbuntu Question Dataset - Questions from AskUbuntu with manual annotations marking pairs of questions as similar or non-similar
Task category
t2t
Domains
Programming, Web
Reference
https://github.com/taolei87/askubuntu
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/AskUbuntuDupQuestions.askubuntudupquestions-rerankingthreads-ask-ubuntuthreads-ask-ubuntuSource Paper: https://arxiv.org/abs/1802.06916
Usage
from torch_geometric.datasets.cornell import CornellTemporalHyperGraphDataset
dataset = CornellTemporalHyperGraphDataset(root = "./", name="threads-ask-ubuntu", split="train")
Citation
@article{Benson-2018-simplicial,
author = {Benson, Austin R. and Abebe, Rediet and Schaub, Michael T. and Jadbabaie, Ali and Kleinberg, Jon},
title = {Simplicial closure and higher-order link prediction},
year = {2018},
doi =… See the full description on the dataset page: https://huggingface.co/datasets/SauravMaheshkar/threads-ask-ubuntu.AskUbuntuDupQuestions-VN
AskUbuntuDupQuestions-VN
An MTEB dataset
Massive Text Embedding Benchmark
A translated dataset from AskUbuntu Question Dataset - Questions from AskUbuntu with manual annotations marking pairs of questions as similar or non-similar
The process of creating the VN-MTEB (Vietnamese Massive Text Embedding Benchmark) from English samples involves a new automated system:
- The system uses large language models (LLMs), specifically Coherence's Aya model, for… See the full description on the dataset page: https://huggingface.co/datasets/mteb/AskUbuntuDupQuestions-VN.AskUbuntuDupQuestions