Update README.md

README.md

@@ -1,5 +1,86 @@
----
-license: other
-license_name: cc-by-sa-and-odbl
-license_link: LICENSE
----
+---
+license: other
+license_name: cc-by-sa-and-odbl
+license_link: LICENSE
+---
+
+# 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 
+curated from public datasets. 
+## Dataset Details
+
+### Dataset Description
+
+<!-- Provide a longer summary of what this dataset is. -->
+
+<!-- Add author name -->
+- **Curated by:** Airlab at CMU
+- **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]
+
+<!-- Provide the basic links for the dataset. -->
+<!-- Write about mapillary and osm -->
+
+- **Repository:** https://github.com/MapItAnywhere/MapItAnywhere
+
+## 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.
+
+
+## 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]
+
+## Dataset Creation
+
+### Curation Rationale
+
+The MIA data engine and dataset were created to accelerate research progress towards anywhere map prediction. Current map prediction research builds on only a few map prediction datasets released by autonomous vehicle companies, which cover very limited area. We therefore present the MIA data engine, a more scalable approach by sourcing from large-scale crowd-sourced mapping platforms, Mapillary for FPV images and OpenStreetMap for BEV semantic maps. 
+
+
+### Source Data
+
+<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
+<!-- Broadly talk about source and annotations (lump Data Collection and Processing and Who are the source data producers?) -->
+
+
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Dataset Card Authors [optional]
+
+[More Information Needed]
+
+## Dataset Card Contact
+
+[More Information Needed]