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import json
from collections import defaultdict
from datasets import load_dataset
def check_jsonl_file(filename):
valid = True
errors = []
column_types = defaultdict(set)
with open(filename, 'r', encoding='utf-8') as f:
for i, line in enumerate(f):
line = line.strip()
if not line:
continue
try:
obj = json.loads(line)
except Exception as e:
valid = False
errors.append(f"Line {i+1}: Invalid JSON ({e})")
continue
if not isinstance(obj, dict):
valid = False
errors.append(f"Line {i+1}: Not a JSON object")
continue
for k, v in obj.items():
column_types[k].add(type(v).__name__)
# Check for consistent column types
inconsistent = {k: v for k, v in column_types.items() if len(v) > 1}
if inconsistent:
valid = False
for k, types in inconsistent.items():
errors.append(f"Column '{k}' has inconsistent types: {types}")
# Check for trailing data (extra non-JSON lines)
with open(filename, 'rb') as f:
f.seek(-2, 2)
last = f.read().decode(errors='ignore')
if not last.endswith('\n'):
errors.append("File does not end with a newline (possible trailing data)")
if valid:
print("data.jsonl passed all checks.")
else:
print("data.jsonl failed checks:")
for err in errors:
print(err)
if __name__ == "__main__":
check_jsonl_file("data.jsonl")
ds = load_dataset("cwolff/schemapile", split="full")
print(f"Loaded dataset with {len(ds)} records.")
print(ds[0]) |