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Mix contamination checker script

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This commit is contained in:
Jake Poznanski 2025-09-23 18:17:13 +00:00
parent 9818797fbc
commit 1197c35808
1 changed files with 29 additions and 9 deletions
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28
scripts/check_contamination.py
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@ -84,17 +84,17 @@ def check_contamination(bench_data_dir, metadata_jsonl_path, sqlite_db_path):
# Step 2: Read metadata JSONL and process source URLs
print("Step 2: Processing metadata JSONL...")
source_urls = []
metadata_entries = []
with open(metadata_jsonl_path, 'r') as f:
for line_num, line in enumerate(f, 1):
try:
data = json.loads(line)
if 'source_url' in data:
source_urls.append(data['source_url'])
metadata_entries.append(data)
except json.JSONDecodeError:
print(f"Warning: Could not parse line {line_num}")
print(f"Found {len(source_urls)} source URLs in metadata\n")
print(f"Found {len(metadata_entries)} entries with source URLs in metadata\n")
# Step 3: Map URLs to hashes and query database
print("Step 3: Mapping URLs and querying database...")
@ -106,8 +106,11 @@ def check_contamination(bench_data_dir, metadata_jsonl_path, sqlite_db_path):
s3_count = 0
local_count = 0
empty_result_count = 0
blank_url_entries = [] # Store entries with blank URLs
for source_url in source_urls:
for metadata_entry in metadata_entries:
source_url = metadata_entry.get('source_url')
pdf_id = metadata_entry.get('pdf_id', 'N/A')
pdf_hash = None
# Handle S3 URLs
@ -134,6 +137,12 @@ def check_contamination(bench_data_dir, metadata_jsonl_path, sqlite_db_path):
# Check if the looked up URL is empty/blank
if result[0] == "" or result[0] is None:
empty_result_count += 1
blank_url_entries.append({
'pdf_id': pdf_id,
'source_url': source_url,
'pdf_hash': pdf_hash,
'db_result': result[0]
})
else:
real_urls.add(result[0])
else:
@ -150,6 +159,17 @@ def check_contamination(bench_data_dir, metadata_jsonl_path, sqlite_db_path):
if unmapped_count > 0:
print(f"Warning: {unmapped_count} URLs could not be mapped\n")
# Print entries with blank URLs
if blank_url_entries:
print(f"\n⚠️ Entries with blank URLs ({len(blank_url_entries)} total):")
for entry in blank_url_entries[:20]: # Show first 20
print(f" PDF ID: {entry['pdf_id']}")
print(f" Source URL: {entry['source_url']}")
print(f" PDF Hash: {entry['pdf_hash']}")
print(f" DB Result: {repr(entry['db_result'])}")
if len(blank_url_entries) > 20:
print(f" ... and {len(blank_url_entries) - 20} more entries with blank URLs\n")
# Step 4: Check for contamination
print("Step 4: Checking for contamination...")
contaminated_urls = bench_urls.intersection(real_urls)