Update README.md

README.md

@@ -16,4 +16,21 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: cc0-1.0
+tags:
+- openalex
+- embeddings
+pretty_name: OpenAlex Embeddings
+source_dataset:
+- openalex
 ---
+# OpenAlex Embeddings
+This dataset contains text embeddings of all records in [OpenAlex](https://openalex.org/) with a title or an abstract from the snapshot of 2023-10-20.
+The dataset was created for the [FORAS project](https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=494027) to investigate the efficacy of 
+different methods of searching in databases of academic publications. All scripts will be available in a [GitHub repository](https://github.com/IDfuse/foras).
+
+## Description of the data
+- The dataset has two columns, `id` and `embedding`. The `id` columns contains the OpenAlex identifier of the record. The `embedding` column contains the text embedding,
+which is a vector of 384 floats.
+- The multilingual embedding model [intfloat/multilingual-e5-small](https://huggingface.co/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.