Upload README.md

README.md

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+# Subjects-for-curricular
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+---
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+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.
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+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](https://huggingface.co/BAAI/bge-large-en-v1.5) model.
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+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). Both runs used 100 iterations of the k-means algorithm.
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