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quasara-io
/

Quasara-MajorTOM-Europe-SigLIP

Tasks:

Zero-Shot Classification

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senaK-quasara commited on Aug 8

Commit

a252a0a

•

1 Parent(s): a1256d7

Upload read_dataset.py

Files changed (1) hide show

read_dataset.py +3 -3

read_dataset.py CHANGED Viewed

@@ -1,7 +1,7 @@
 import pyarrow.parquet as pq
-METADATA_FILEPATH = 'path/to/your/metadata_file.parquet'
-EMBEDDINGS_FILEPATH = 'path/to/your/embeddings.dat'
 def read_embeddings(filepath):
@@ -39,7 +39,7 @@ embedding_file_value = row['embedding_file'] # specific embedding file for the r
 # Read the embeddings in the embedding file
 embeddings = read_embeddings(EMBEDDINGS_FILEPATH)
-vector = embeddings[dat_row_value]
 print(f"Row: {row}, Dat Row: {dat_row_value}, Embedding File: {embedding_file_value}, Vector length: {len(vector)}")
 #print(f"Vector: {vector}")

 import pyarrow.parquet as pq
+METADATA_FILEPATH = '/home/sena/plato_backend/scripts/huggingface_embedding_sharing/huggingface_embedding_sharing/save_backup/metadata_file.parquet'
+EMBEDDINGS_FILEPATH = '/home/sena/plato_backend/scripts/huggingface_embedding_sharing/huggingface_embedding_sharing/embeddings_2.txt'
 def read_embeddings(filepath):
 # Read the embeddings in the embedding file
 embeddings = read_embeddings(EMBEDDINGS_FILEPATH)
+vector = embeddings[int(dat_row_value)]
 print(f"Row: {row}, Dat Row: {dat_row_value}, Embedding File: {embedding_file_value}, Vector length: {len(vector)}")
 #print(f"Vector: {vector}")