restructure repo to fix the dataset viewer

README.md

@@ -3,7 +3,6 @@ language:
 - en
 - la
 pretty_name: IDLE-OO Camera Traps
-image: file_name
 tags:
 - biology
 - image
@@ -31,10 +30,6 @@ task_categories:
 configs:
 - config_name: default
   drop_labels: true
-  data_files:
-   - split: test
-     path: test/metadata.csv
-   
 ---
 
 # Dataset Card for IDLE-OO Camera Traps
@@ -62,7 +57,7 @@ English, Latin
     island-balanced.csv
     ohio-small-animals-balanced.csv
     orinoquia-balanced.csv
-    test/
+    data/test/
         desert-lion/
             <image 1>
             <image 2>
@@ -143,7 +138,7 @@ Each of the `<dataset_name>-balanced` CSVs has the following columns.
  - `family`: family of the animal in the image.
  - `genus`: genus of the animal in the image. About half null in the island CSVs.
  - `species`: species of the animal in the image. Mostly null in the island CSVs.
- - `filepath`: path to the image from the `test/` directory (`<dataset-name>/<image filename>`).
+ - `filepath`: path to the image from the `data/test/` directory (`<dataset-name>/<image filename>`).
 
 **Notes:**
 
@@ -152,7 +147,7 @@ Each of the `<dataset_name>-balanced` CSVs has the following columns.
     - `hashsum_resized`: MD5 hash of the resized image (based on setting to resize if over 720 pixels in any dimension).
  - The `ohio-small-animals` CSV have a `filename` column defined as `OH_sm_animals_<filename in url_aws>` and a `md5` column containing the MD5 hash of the image as downloaded from the AWS bucket.
  - The `island-balanced` CSV has an additional `num_cn_images` column indicating the number of images with that animal's common name.
- - There is a `metadata.csv` included in the `test/` directory for the dataset viewer to display images alongside their taxonomic information. The `subset` corresponds to the `dataset-name`.
+ - There is a `metadata.csv` included in the `data/test/` directory for the dataset viewer to display images alongside their taxonomic information. The `subset` corresponds to the `dataset-name`.
 
 ### Data Splits