README: Dataset description and structure

README.md

@@ -2,22 +2,24 @@
 license: other
 license_name: cc-by-sa-and-odbl
 license_link: LICENSE
+language:
+- en
+pretty_name: Map It Anywhere
+size_categories:
+- 1M<n<10M
 ---
 
 # Dataset Card for Map It Anywhere (MIA)
 
-<!-- Provide a quick summary of the dataset. -->
-
-The Map It Anywhere (MIA) dataset contains pairs of first-person-view images and top-down semantic map 
+The Map It Anywhere (MIA) dataset contains map-prediction-ready data
 curated from public datasets. 
 ## Dataset Details
 
 ### Dataset Description
+The Map It Anywhere (MIA) dataset contains 1.2 million high quality first-person-view (FPV) and bird's eye view (BEV) map pairs covering 470 squared km, thereby facilitating future map prediction
+research on generalizability and robustness. The dataset is curated using the `MIA data engine` to sample from six urban-centered location: New York, Chicago, Houston, Los Angeles, Pittsburgh and San Francisco.
 
-<!-- Provide a longer summary of what this dataset is. -->
-
-<!-- Add author name -->
-- **Curated by:** Airlab at CMU
+- **Curated by:** Airlab at CMU (Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer)
 - **License:** The first-person-view images and the associated metadata of MIA dataset is published under CC-By-SA following Mapillary. The bird’s eye view map of MIA dataset is published under ODbL following OpenStreetMap. 
 
 ### Dataset Sources [optional]
@@ -29,21 +31,37 @@ curated from public datasets.
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
 
 ### Direct Use
 
-<!-- This section describes suitable use cases for the dataset. -->
 
 This dataset is suitable for training and evaluating Bird's Eye View map models.
-In the paper, we have tested it for First-person-view to Bird's Eye view map prediction.
+We have tested it in the paper for First-person-view to Bird's Eye view map prediction.
 
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
-
-[More Information Needed]
+```
+ROOT
+|
+--- LOCATION_0                             # location folder
+|       |
+|       +--- images                          # FPV Images (XX.jpg)
+|       +--- semantic_masks                  # Semantic Masks (XX.npz)
+|       +--- flood_fill                      # Visibility Masks (XX.npz)
+|       ---- dump.json                       # Camera pose information for IDs in LOCATION
+|       ---- image_points.parquet
+|       ---- image_metadata.parquet
+|       ---- image_metadata_filtered.parquet
+|       ---- image_metadata_filtered_processed.parquet 
+--- LOCATION_1                             
+.
+.
+|
++-- LOCATION_2
+--- README.md
+--- samples.pdf # Visualization of sample data
+```
 
 ## Dataset Creation
 
@@ -79,8 +97,8 @@ The MIA data engine and dataset were created to accelerate research progress tow
 
 ## Dataset Card Authors [optional]
 
-[More Information Needed]
+Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer
 
 ## Dataset Card Contact
 
-[More Information Needed]
+Cherie Ho ([email protected])