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Datasets:
quasara-io
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Quasara-MajorTOM-Europe-SigLIP

Tasks:
Zero-Shot Classification
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senaK-quasara commited on
Commit
a252a0a
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1 Parent(s): a1256d7

Upload read_dataset.py

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Files changed (1) hide show
  1. read_dataset.py +3 -3
read_dataset.py CHANGED
@@ -1,7 +1,7 @@
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  import pyarrow.parquet as pq
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- METADATA_FILEPATH = 'path/to/your/metadata_file.parquet'
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- EMBEDDINGS_FILEPATH = 'path/to/your/embeddings.dat'
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  def read_embeddings(filepath):
@@ -39,7 +39,7 @@ embedding_file_value = row['embedding_file'] # specific embedding file for the r
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  # Read the embeddings in the embedding file
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  embeddings = read_embeddings(EMBEDDINGS_FILEPATH)
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- vector = embeddings[dat_row_value]
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  print(f"Row: {row}, Dat Row: {dat_row_value}, Embedding File: {embedding_file_value}, Vector length: {len(vector)}")
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  #print(f"Vector: {vector}")
 
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  import pyarrow.parquet as pq
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+ METADATA_FILEPATH = '/home/sena/plato_backend/scripts/huggingface_embedding_sharing/huggingface_embedding_sharing/save_backup/metadata_file.parquet'
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+ EMBEDDINGS_FILEPATH = '/home/sena/plato_backend/scripts/huggingface_embedding_sharing/huggingface_embedding_sharing/embeddings_2.txt'
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  def read_embeddings(filepath):
 
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  # Read the embeddings in the embedding file
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  embeddings = read_embeddings(EMBEDDINGS_FILEPATH)
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+ vector = embeddings[int(dat_row_value)]
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  print(f"Row: {row}, Dat Row: {dat_row_value}, Embedding File: {embedding_file_value}, Vector length: {len(vector)}")
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  #print(f"Vector: {vector}")