Update README.md

README.md

@@ -59,7 +59,23 @@ Using [makesense.ai](https://www.makesense.ai/) and a custom active learning app
 ## Dataset 
 
 With the trained and fine-tuned model, we generated predictions for each of the images in the collection. The dataset contains an entry for each image with the following fields: 
-- filename, the 
+- filename, the image name (ex. 'Советский театр_1932 No. 4_16') with journal name, year, issue, page.
+- dpul, the URL for the image's journal in Digital Princeton University Library
+- journal, the journal name
+- year, the year of the journal issue
+- issue, the issue for the image
+- URI, the IIIF URI used to fetch the image from Princeton's IIIF server 
+- yolo, the raw model prediction (ex '3 0.1655 0.501396 0.311'), in Yolo's normalized xywh format (<object-class> <x> <y> <width> <height>). The labels are 'image'=0, 'mixedtext'=1, 'title'=2, 'textblock'=3.
+- yolo_predictions, a List with a dictionary for each of the model's predictions with fields for: 
+  -  label, the predicted label
+  - x, the x-value location of the center point of the prediction 
+  - y, the y-value location of the center point of  the prediction
+  - w, the total width of the prediction's bounding box 
+  - h, the total height of the prediction's bounding box
+  - abbyy_text, the text extracted from the predicted document segment using ABBY FineReader. Note that due to costs, only about 800 images have this data
+  - tesseract_text, the text extracted from the predicted document segment using Tesseract.
+  - vision_text, the text extracted from the predicted document segment using Google Vision.
+
 
 
 'filename', 'dpul', 'journal', 'year', 'issue', 'uri', 'yolo', 'yolo_predictions', 'text', 'images_meta'