Update README.md

README.md

@@ -24,13 +24,15 @@ Each example contains:
 - `filename` (`string`): The original filename of the image (e.g., `200000.jpg`).
 - `split_type` (`string`): The type of split the image belongs to (`original` or `strong`).
 - `block_id` (`int32`): The first 4 digits of the filename, representing the block ID (e.g., `2000` for `200000.jpg`).
-- `query_id` (`int32`): The query ID for query images (-1 for database images).
+- `query_id` (`int32`): The query ID for query images (-1 for database images). Digits 5 and 6 of an image name (e.g., `01` for `200001.jpg`).
 
 ## Dataset Splits
 
-- **queries**: Query images with modifications for evaluation.
+- **queries**: Query images with modifications for evaluation. Also includes the original images.
 - **database**: Original images used as the database for retrieval.
 
+To tell if something is an original image, refer to a given images `split_type` field.
+
 ## Dataset Versions
 
 - Version 1.0.0
@@ -42,32 +44,33 @@ Use the Hugging Face `datasets` library to load one of the configs:
 ```python
 import datasets
 
-# These are the config names defined in the script
-dataset_configs = ["database", "query"]
-
-# Load query split for evaluation
-for i, config_name in enumerate(dataset_configs, start=1):
-    # Load query images
-    query_dataset = datasets.load_dataset(
-        path="copydays.py",  # use local dataset script
-        name=config_name,
-        split="queries",
-        trust_remote_code=True,
-    )
-
-    # Load database images
-    db_dataset = datasets.load_dataset(
-        path="copydays.py",  # use local dataset script
-        name=config_name,
-        split="database",
-        trust_remote_code=True,
-    )
-
-    print(f"[{i}] Loaded config '{config_name}' - queries: {len(query_dataset)}, database: {len(db_dataset)}")
-
-    # Example query
-    query_example = query_dataset[0]
-    print(f"Query: {query_example['filename']}, Block ID: {query_example['block_id']}, Query ID: {query_example['query_id']}")
+# Name of the dataset
+dataset_name = "randall-lab/INRIA-CopyDays"
+
+# Load query images
+query_dataset = datasets.load_dataset(
+    dataset_name,
+    split="queries",
+    trust_remote_code=True,
+)
+
+# Load database images
+db_dataset = datasets.load_dataset(
+    dataset_name,
+    split="database",
+    trust_remote_code=True,
+)
+
+# Print the length of the query dataset -- should be 386, since it includes all 229 strong AND all 157 original queries
+print(f"Number of query images: {len(query_dataset)}")
+
+# You can tell if it is a strong or an original query by checking the `split_type` field on a given image
+example_query = query_dataset[0]  # Get any desired query image
+print(f"Example Query - Filename: {example_query['filename']}")
+print(f"Example Query - Split Type: {example_query['split_type']}")
+
+# Print the length of the database dataset -- should be 157, since it includes all 157 original images
+print(f"Number of database images: {len(db_dataset)}")
 ```
 
 ## Dataset Structure