Datasets:
license: apache-2.0
Subjects-for-curricular
Subjects-for-curricular is a clustered set of book titles and concepts from https://huggingface.co/datasets/benxh/opensyllabus-tagged-libgen and https://huggingface.co/datasets/benxh/us-library-of-congress-subjects.
These two datasets are combined, taking the 'text' field from the US library of congress subjects (subjects_fixed.jsonl), and the 'name' field from the opensyllabus data. This text data is then converted into embeddings using the bge-large-en-v1.5 model.
The embeddings are clustered into topics using K-means clustering. We include data for k=10,000 (all_topic_clusters_10000.parquet) and k=20,000 (all_topic_clusters_20000.parquet). We also include the centroid embeddings for each cluster. Both runs used 100 iterations of the k-means algorithm.