metadata
dataset_info:
features:
- name: id
dtype: string
- name: embedding
sequence: float64
splits:
- name: train
num_bytes: 751739666430
num_examples: 243212198
download_size: 640572858900
dataset_size: 751739666430
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc0-1.0
tags:
- openalex
- embeddings
pretty_name: OpenAlex Mutilingual Embeddings
source_dataset:
- openalex
OpenAlex Multilingual Embeddings
This dataset contains multilingual text embeddings of all records in OpenAlex with a title or an abstract from the snapshot of 2023-10-20. The dataset was created for the FORAS project to investigate the efficacy of different methods of searching in databases of academic publications. All scripts will be available in a GitHub repository. The project is supported by a grant from the Dutch Research Council (grant no. 406.22.GO.048)
Description of the data
- The dataset has two columns,
id
andembedding
. Theid
columns contains the OpenAlex identifier of the record. Theembedding
column contains the text embedding, which is a vector of 384 floats. - The multilingual embedding model intfloat/multilingual-e5-small was used to generate the embeddings. For every
with a title or abstract we generated an embedding of
'query: '
+title
+' '
+abstract
. The model has a maximum token input length of 512 tokens.