Add 100M token sample with all columns

README.md

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+# Essential Web v1.0 - 100M Token Sample
+
+Approximately 100,000,000 tokens sampled from Essential Web v1.0.
+
+## Dataset Info
+
+- **Target**: 100,000,000 tokens  
+- **Actual**: ~109,999,800 tokens (estimated)
+- **Source**: [EssentialAI/essential-web-v1.0](https://huggingface.co/datasets/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
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("sumuks/essential-web-v1.0-sample-100M")
+
+# 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

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