Upload test_dataset2.py

test_dataset2.py

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+# 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.