Datasets:

Formats:
csv
Languages:
English
ArXiv:
Libraries:
Datasets
Dask
License:
Leask commited on
Commit
e8f3ece
·
1 Parent(s): 0f8abab

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 +25 -2
README.md CHANGED
@@ -22,6 +22,27 @@ This dataset comprises a curated [Public Domain 12M](https://source.plus/pd12m)
22
 
23
  This dataset is derived and organized from [Spawning/PD12M](http://huggingface.co/datasets/Spawning/PD12M). The original license information for the image can be found in the corresponding entry of the original database.
24
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
25
  ## Uses
26
 
27
  This dataset is available for a wide range of applications.
@@ -80,6 +101,10 @@ copy is_pd12m FROM 'data/0000002.csv' CSV HEADER;
80
 
81
  3. Create Indexes
82
 
 
 
 
 
83
  ```sql
84
  CREATE UNIQUE INDEX IF NOT EXISTS is_pd12m_url_index ON is_pd12m (url);
85
  CREATE INDEX IF NOT EXISTS is_pd12m_origin_width_index ON is_pd12m (origin_width);
@@ -105,5 +130,3 @@ CREATE INDEX IF NOT EXISTS is_pd12m_caption_index ON is_pd12m (caption) WHERE ca
105
  CREATE INDEX IF NOT EXISTS is_pd12m_caption_long_index ON is_pd12m (caption_long) WHERE caption_long = '';
106
  CREATE INDEX IF NOT EXISTS is_pd12m_vector_null_index ON is_pd12m (vector) WHERE vector IS NULL;
107
  ```
108
-
109
- ## Dataset Structure
 
22
 
23
  This dataset is derived and organized from [Spawning/PD12M](http://huggingface.co/datasets/Spawning/PD12M). The original license information for the image can be found in the corresponding entry of the original database.
24
 
25
+ ## Dataset Structure
26
+
27
+ - id: A unique identifier for the image.
28
+ - url: The URL of the image.
29
+ - caption: A caption for the image.
30
+ - caption_long: A long caption for the image.
31
+ - origin_hash: The MD5 hash of the original image file.
32
+ - origin_width: The width of the original image in pixels.
33
+ - origin_height: The height of the original image in pixels.
34
+ - origin_storage_id: The storage ID of the original image file.
35
+ - processed_storage_id: The storage ID of the processed image file.
36
+ - processed_width: The width of the processed image in pixels.
37
+ - processed_height: The height of the processed image in pixels.
38
+ - aspect_ratio: The aspect ratio of the image.
39
+ - exif: The EXIF data of the image.
40
+ - meta: The metadata of the image.
41
+ - source: The source organization of the image.
42
+ - vector: The vector embedding of the image.
43
+ - created_at: The creation time of the image.
44
+ - updated_at: The update time of the image.
45
+
46
  ## Uses
47
 
48
  This dataset is available for a wide range of applications.
 
101
 
102
  3. Create Indexes
103
 
104
+ You need to create the following indexes for the best performance.
105
+
106
+ 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.
107
+
108
  ```sql
109
  CREATE UNIQUE INDEX IF NOT EXISTS is_pd12m_url_index ON is_pd12m (url);
110
  CREATE INDEX IF NOT EXISTS is_pd12m_origin_width_index ON is_pd12m (origin_width);
 
130
  CREATE INDEX IF NOT EXISTS is_pd12m_caption_long_index ON is_pd12m (caption_long) WHERE caption_long = '';
131
  CREATE INDEX IF NOT EXISTS is_pd12m_vector_null_index ON is_pd12m (vector) WHERE vector IS NULL;
132
  ```