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from datasets import load_dataset
def display_dataset_statistics(dataset):
"""
Display overall statistics about the dataset.
Args:
dataset: A HuggingFace Dataset object.
"""
print("\n" + "=" * 50)
print(f"{'DATASET STATISTICS':^50}")
print("=" * 50)
print(f"\n📊 Number of entries: {len(dataset):,}")
# Convert to pandas for easier analysis
df = dataset.to_pandas()
# Count presentation types
if "status" in df.columns:
print("\n" + "-" * 30)
print("📝 PRESENTATION TYPES")
print("-" * 30)
status_counts = df["status"].value_counts()
for status, count in status_counts.items():
print(f" • {status}: {count:,} ({count / len(df) * 100:.1f}%)")
# Count venues
if "venue" in df.columns:
print("\n" + "-" * 30)
print("🏢 VENUES")
print("-" * 30)
venue_counts = df["venue"].value_counts()
for venue, count in venue_counts.items():
print(f" • {venue}: {count:,} ({count / len(df) * 100:.1f}%)")
# Count primary research areas
if "primary_area" in df.columns:
print("\n" + "-" * 30)
print("🔬 TOP 10 PRIMARY RESEARCH AREAS")
print("-" * 30)
area_counts = df["primary_area"].value_counts().head(10)
for area, count in area_counts.items():
print(f" • {area}: {count:,} ({count / len(df) * 100:.1f}%)")
def display_sample_entries(dataset, n=3):
"""
Display sample entries from the dataset.
Args:
dataset: A HuggingFace Dataset object.
n: Number of samples to display.
"""
print("\n" + "=" * 50)
print(f"{'SAMPLE ENTRIES':^50}")
print("=" * 50)
for i in range(min(n, len(dataset))):
print(f"\n📄 SAMPLE {i + 1}")
print("-" * 30)
print(f"🎬 Video file: video/{dataset[i].get('video_file', 'N/A')}")
print(f"📝 Title: {dataset[i].get('title', 'N/A')}")
print(f"💡 TL;DR: {dataset[i].get('tldr', 'N/A')}")
print(f"🔬 Primary area: {dataset[i].get('primary_area', 'N/A')}")
print(f"🏷️ Keywords: {dataset[i].get('keywords', 'N/A')}")
print("=" * 50)
if __name__ == "__main__":
# Load the dataset
dataset = load_dataset("vivianchen98/LearningPaper24", data_files="metadata/catalog.jsonl", split="train")
print(f"Successfully loaded LearningPaper24 dataset with {len(dataset)} entries.")
# Display statistics
display_dataset_statistics(dataset)
# Display sample entries
display_sample_entries(dataset)
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