Updating README.

tutorials/images.md

@@ -4,14 +4,14 @@ Once you have the URLs or S3 file keys from the metadata files, you can download
 #### cURL
 Download an image from a url to a local image file with the name `image.png`:
 ```bash
-curl -O image.png https://pd12m.s3.us-west-2.amazonaws.com/image.png
+curl -O image.png https://pd12m.s3.us-west-2.amazonaws.com/images/image.png
 ```
 #### Python
 Download an image from a url to a local image file with the name `image.png`:
 ```python
 import requests
 
-url = "https://pd12m.s3.us-west-2.amazonaws.com/image.png"
+url = "https://pd12m.s3.us-west-2.amazonaws.com/images/image.png"
 response = requests.get(url)
 with open('image.png', 'wb') as f:
     f.write(response.content)
@@ -19,11 +19,6 @@ with open('image.png', 'wb') as f:
 #### img2dataset
 You can also use the `img2dataset` tool to quickly download images from a metadata file. The tool is available [here](https://github.com/rom1504/img2dataset).  The example below will download all the images to a local `images` directory.
 ```bash
-img2dataset download --url_list pd12m-metadata.001.parquet --input_format parquet --url_col url --caption_col caption --output-dir images/
+img2dataset download --url_list pd12m.01.parquet --input_format parquet --url_col url --caption_col caption --output-dir images/
 ```
 
-#### S3 CLI
-Download an image from an S3 bucket to an image with the name `image.png`:
-```bash
-aws s3 cp s3://pd12m/image.png image.png
-```

tutorials/metadata.md

@@ -4,17 +4,17 @@ The metadata files are in parquet format, and contain the following attributes:
 - `url`: The URL of the image.
 - `s3_key`: The S3 file key of the image.
 - `caption`: A caption for the image.
-- `md5_hash`: The MD5 hash of the image file.
-- `mime_type`: The MIME type of the image file.
+- `hash`: The MD5 hash of the image file.
 - `width`: The width of the image in pixels.
 - `height`: The height of the image in pixels.
-- `license_type`: The URL of the license.
+- `mime_type`: The MIME type of the image file.
+- `license`: The URL of the license.
 
 #### Open a metadata file
 The files are in parquet format, and can be opened with a tool like `pandas` in Python. 
 ```python
 import pandas as pd
-df = pd.read_parquet('pd15m-metadata.001.parquet')
+df = pd.read_parquet('pd12m.01.parquet')
 ```
 
 #### Get URLs from metadata 
@@ -23,8 +23,3 @@ Once you have opened a maetadata file with pandas, you can get the URLs of the i
 urls = df['url']
 ```
 
-#### Get S3 File Keys from metadata 
-You can also get the S3 file keys, which can be used to download the images using the S3 CLI:
-```python
-s3_keys = df['s3_key']
-```