Remove test_dataset2.py

test_dataset2.py

@@ -1,36 +0,0 @@
-# Example loading script (save as .py file in your HF repo)
-from datasets import load_dataset
-import pandas as pd
-
-# --- How to load the data ---
-
-# Replace 'your_hf_username/your_dataset_name' with your actual repo ID
-repo_id = "DavidCBaines/test_dataset2"
-
-# Load the corpus (contains verse_id and text for each translation)
-corpus_ds = load_dataset(repo_id, data_files="bible_corpus.parquet", split="train")
-
-# Load the metadata (contains info about each translation)
-metadata_ds = load_dataset(repo_id, data_files="bible_metadata.parquet", split="train")
-
-print("--- Corpus Dataset Sample ---")
-print(corpus_ds[0]) # Show the first verse entry
-
-print("\n--- Metadata Dataset Sample ---")
-print(metadata_ds[0]) # Show metadata for the first translation
-
-# --- Example Usage: Filtering ---
-# Convert metadata to pandas for easier filtering
-metadata_df = metadata_ds.to_pandas()
-
-# Get metadata for only English translations
-english_metadata = metadata_df[metadata_df['language_code'] == 'eng']
-print("\n--- Metadata for English Translations ---")
-print(english_metadata[['translation_id', 'language_name', 'verse_count']].head())
-
-# Get the list of English translation IDs (column names in corpus_ds)
-english_translation_ids = english_metadata['translation_id'].tolist()
-
-# You can now use 'english_translation_ids' to select specific columns
-# from corpus_ds if needed, though this often requires converting to pandas
-# or using map functions depending on the desired operation.