docs: updated dataset urls
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README.md
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@@ -17,14 +17,15 @@ GneissWeb Annotations uses the [GneissWeb bloom filter](https://huggingface.co/i
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You can access annotations at two levels of granularity:
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- **Host-level** - Aggregate statistics for entire domains, perfect for broad filtering
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- **URL-level** - Individual URL classifications for precise content selection
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## Getting the Data
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Access the dataset through:
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- **Hugging Face**: [https://huggingface.co/datasets/commoncrawl/gneissweb-annotation-testing-v1](https://huggingface.co/datasets/commoncrawl/gneissweb-annotation-testing-v1)
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- **AWS S3**: `s3://commoncrawl/projects/gneissweb-annotation-testing-v1`
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## Example usage
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## Schema
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###
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| Column | Description |
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|--------|-------------|
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| `crawl` | Common Crawl archive ID (e.g., CC-MAIN-2024-10) |
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| `in_gneissweb` | Boolean flag for GneissWeb inclusion |
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| `surt_host_name` | SURT-formatted hostname |
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| `gneissweb_medical` | Medical content quality score |
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| `gneissweb_technology` | Technology content quality score |
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| `gneissweb_education` | Educational content quality score |
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| `gneissweb_science` | Scientific content quality score |
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### URL Index Files
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| Column | Description |
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|--------|-------------|
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| `crawl` | Common Crawl archive ID (e.g., CC-MAIN-2024-10) |
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| `in_gneissweb` | Boolean flag for GneissWeb inclusion |
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| `url_surkey` | SURT-formatted URL key |
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| `surt_host_name` | SURT-formatted hostname |
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| `fetch_time` | TIMESTAMP of the page fetch |
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| `gneissweb_medical` | Medical content quality score |
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| `gneissweb_technology` | Technology content quality score |
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| `gneissweb_education` | Educational content quality score |
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| `gneissweb_science` | Scientific content quality score |
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## Applications
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This dataset opens up numerous possibilities:
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You can access annotations at two levels of granularity:
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- **URL-level** - Individual URL classifications for precise content selection (This dataset)
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- **Host-level** - Aggregate statistics for entire domains, perfect for broad filtering
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## Getting the Data
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Access the dataset through:
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- **Hugging Face**: [https://huggingface.co/datasets/commoncrawl/gneissweb-annotation-url-testing-v1](https://huggingface.co/datasets/commoncrawl/gneissweb-annotation-url-testing-v1) (URL-level)
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- **Hugging Face**: [https://huggingface.co/datasets/commoncrawl/gneissweb-annotation-host-testing-v1](https://huggingface.co/datasets/commoncrawl/gneissweb-annotation-host-testing-v1) (Host-level)
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- **AWS S3**: `s3://commoncrawl/projects/gneissweb-annotation-testing-v1`
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## Example usage
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## Schema
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### URL Index Files
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Granular annotations for individual URLs.
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| Column | Description |
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|--------|-------------|
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| `crawl` | Common Crawl archive ID (e.g., CC-MAIN-2024-10) |
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| `in_gneissweb` | Boolean flag for GneissWeb inclusion |
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| `url_surkey` | SURT-formatted URL key |
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| `surt_host_name` | SURT-formatted hostname |
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| `fetch_time` | TIMESTAMP of the page fetch |
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| `gneissweb_medical` | Medical content quality score |
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| `gneissweb_technology` | Technology content quality score |
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| `gneissweb_education` | Educational content quality score |
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| `gneissweb_science` | Scientific content quality score |
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### Host Index Files
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Aggregated domain-level annotations for efficient filtering by source.
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| Column | Description |
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|--------|-------------|
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| `crawl` | Common Crawl archive ID (e.g., CC-MAIN-2024-10) |
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| `in_gneissweb` | Boolean flag for GneissWeb inclusion |
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| `surt_host_name` | SURT-formatted hostname |
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| `gneissweb_medical` | Medical content quality score |
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| `gneissweb_technology` | Technology content quality score |
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| `gneissweb_education` | Educational content quality score |
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| `gneissweb_science` | Scientific content quality score |
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## Applications
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This dataset opens up numerous possibilities:
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