Datasets:
Update README.md with additional setup instructions
Browse files- Added detailed setup instructions for new users.
- Clarified the installation process and prerequisites.
- Included examples for better understanding.
- Improved formatting for readability.
README.md
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- 1M<n<10M
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---
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#
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This is a curated PD12M dataset for use with the [Chipmunk](https://github.com/Intelligent-Internet/Chipmunk) project.
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);
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```
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### Load csv
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1. Load the dataset from local file system to a remote PostgreSQL server:
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You need to create the following indexes for the best performance.
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The `vector` column is a halfvec(1152) column, which is a 16-bit half-precision vector optimized for L2 indexing with [vectorchord](https://github.com/tensorchord/vectorchord). You can get more information about the vector index from the [vectorchord](https://docs.vectorchord.ai/vectorchord/usage/indexing.html) documentation.
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```sql
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CREATE UNIQUE INDEX IF NOT EXISTS is_pd12m_url_index ON is_pd12m (url);
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---
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# `PD12M`
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This is a curated PD12M dataset for use with the [Chipmunk](https://github.com/Intelligent-Internet/Chipmunk) project.
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);
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```
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### Load csv files to database
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1. Load the dataset from local file system to a remote PostgreSQL server:
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You need to create the following indexes for the best performance.
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The `vector` column is a halfvec(1152) column, which is a 16-bit half-precision vector optimized for `L2` indexing with [vectorchord](https://github.com/tensorchord/vectorchord). You can get more information about the vector index from the [vectorchord](https://docs.vectorchord.ai/vectorchord/usage/indexing.html) documentation.
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```sql
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CREATE UNIQUE INDEX IF NOT EXISTS is_pd12m_url_index ON is_pd12m (url);
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