README.md

Essential Web v1.0 - 10M Token Sample

Approximately 10,000,000 tokens sampled from Essential Web v1.0.

Dataset Info

• Target: 10,000,000 tokens
• Actual: ~10,999,800 tokens (estimated)
• Source: EssentialAI/essential-web-v1.0

Schema

This sample preserves ALL columns from the original dataset, including:

• id: Document ID
• text: Text content
• metadata: URL and source information
• quality_signals: RedPajama quality metrics
• eai_taxonomy: Essential AI taxonomy labels
• pid: Partition ID
• And all other original columns

Usage

from datasets import load_dataset

dataset = load_dataset("sumuks/essential-web-v1.0-sample-10M")

# Access the data with all columns
example = dataset['train'][0]
print(example['text'][:200] + "...")

# Access quality signals
print(example['quality_signals'])

# Access taxonomy
print(example['eai_taxonomy'])

File Structure

The dataset is split across multiple parquet files in the data/ directory:

• data/part-00000.parquet
• data/part-00001.parquet
• etc.

HuggingFace datasets automatically loads all parts as a single dataset.

Sampling Method

• Random sampling across snapshots
• Preserves all original columns and metadata
• Token estimation: ~600 tokens per row