updating the embedding space

app.py

@@ -58,7 +58,7 @@ def app(share=False, use_cluster_feats=False):
     instances, instance_ids = get_instances(cfg['instances_to_explain_path'])
 
     interp      = load_interp_space(cfg)
-    clustered_authors_df = interp['clustered_authors_df'][:500]
+    clustered_authors_df = interp['clustered_authors_df'][:1000]
     clustered_authors_df['fullText'] = clustered_authors_df['fullText'].map(lambda l: l[:3]) # Take at most 3 texts per author
 
     with gr.Blocks(title="Author Attribution Explainability Tool") as demo:

config/config.yaml

@@ -1,8 +1,8 @@
 # config.yaml
 instances_to_explain_path: "./datasets/hrs_explanations.json"
 instances_to_explain_url: "https://huggingface.co/datasets/miladalsh/explanation_tool_files/resolve/main/hrs_explanations_luar_clusters_18_balanced.json?/download=true"
-interp_space_path:    "./datasets/luar_interp_space_cluster_18/"
-interp_space_url:    "https://huggingface.co/datasets/miladalsh/explanation_tool_files/resolve/main/luar_interp_space_cluster_18.zip?download=true"
+interp_space_path:    "./datasets/sentence_luar_interp_clusters_25/"
+interp_space_url:    "https://huggingface.co/datasets/miladalsh/explanation_tool_files/resolve/main/sentence_luar_interp_clusters_25.zip?download=true"
 gram2vec_feats_path:      "./datasets/gram2vec_feats.csv"
 gram2vec_feats_url:      "https://huggingface.co/datasets/miladalsh/explanation_tool_files/resolve/main/gram2vec_feats.csv?download=true"