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essential-web-v1.0-sample-10B

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Add 10B token sample with all columns

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README.md ADDED
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+ # Essential Web v1.0 - 10B Token Sample
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+
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+ Approximately 10,000,000,000 tokens sampled from Essential Web v1.0.
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+
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+ ## Dataset Info
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+
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+ - **Target**: 10,000,000,000 tokens
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+ - **Actual**: ~10,123,307,400 tokens (estimated)
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+ - **Source**: [EssentialAI/essential-web-v1.0](https://huggingface.co/datasets/EssentialAI/essential-web-v1.0)
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+
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+ ## Schema
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+
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+ This sample preserves ALL columns from the original dataset, including:
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+ - `id`: Document ID
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+ - `text`: Text content
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+ - `metadata`: URL and source information
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+ - `quality_signals`: RedPajama quality metrics
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+ - `eai_taxonomy`: Essential AI taxonomy labels
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+ - `pid`: Partition ID
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+ - And all other original columns
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset("sumuks/essential-web-v1.0-sample-10B")
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+
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+ # Access the data with all columns
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+ example = dataset['train'][0]
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+ print(example['text'][:200] + "...")
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+
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+ # Access quality signals
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+ print(example['quality_signals'])
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+
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+ # Access taxonomy
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+ print(example['eai_taxonomy'])
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+ ```
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+
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+ ## File Structure
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+
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+ The dataset is split across multiple parquet files in the `data/` directory:
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+ - `data/part-00000.parquet`
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+ - `data/part-00001.parquet`
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+ - etc.
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+
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+ HuggingFace datasets automatically loads all parts as a single dataset.
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+
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+ ## Sampling Method
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+
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+ - Random sampling across snapshots
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+ - Preserves all original columns and metadata
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+ - Token estimation: ~600 tokens per row
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