Datasets:

Formats:
csv
Languages:
English
ArXiv:
Libraries:
Datasets
Dask
License:
Leask commited on
Commit
dffabe7
·
1 Parent(s): 6184529

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.

Files changed (1) hide show
  1. README.md +3 -3
README.md CHANGED
@@ -8,7 +8,7 @@ size_categories:
8
  - 1M<n<10M
9
  ---
10
 
11
- # Dataset Card for `PD12M`
12
 
13
  This is a curated PD12M dataset for use with the [Chipmunk](https://github.com/Intelligent-Internet/Chipmunk) project.
14
 
@@ -75,7 +75,7 @@ CREATE TABLE IF NOT EXISTS is_pd12m (
75
  );
76
  ```
77
 
78
- ### Load csv file to database
79
 
80
  1. Load the dataset from local file system to a remote PostgreSQL server:
81
 
@@ -99,7 +99,7 @@ copy is_pd12m FROM 'data/0000002.csv' CSV HEADER;
99
 
100
  You need to create the following indexes for the best performance.
101
 
102
- 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.
103
 
104
  ```sql
105
  CREATE UNIQUE INDEX IF NOT EXISTS is_pd12m_url_index ON is_pd12m (url);
 
8
  - 1M<n<10M
9
  ---
10
 
11
+ # `PD12M`
12
 
13
  This is a curated PD12M dataset for use with the [Chipmunk](https://github.com/Intelligent-Internet/Chipmunk) project.
14
 
 
75
  );
76
  ```
77
 
78
+ ### Load csv files to database
79
 
80
  1. Load the dataset from local file system to a remote PostgreSQL server:
81
 
 
99
 
100
  You need to create the following indexes for the best performance.
101
 
102
+ 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.
103
 
104
  ```sql
105
  CREATE UNIQUE INDEX IF NOT EXISTS is_pd12m_url_index ON is_pd12m (url);