Update README.md

README.md

@@ -1,34 +1,9 @@
-```json
-{
-  "dataset_name": "WiFine",
-  "description": "This dataset focuses on fine-grained WiFi localization, aiming to improve the accuracy and robustness of indoor positioning systems. While specific details about the dataset's content (size, features, etc.) are unavailable due to the missing README, the project's goal is clear:  to advance research in high-precision WiFi-based indoor location determination.  Further information would be needed for a complete description.",
-  "citation": [],
-  "homepage": null,
-  "license": null,
-  "tags": ["wifi", "localization", "indoor positioning", "fine-grained"],
-  "config": {
-    "name": "wifine",
-    "version": null,
-    "description": "The primary config for the WiFine dataset."
-  },
-  "features": [],
-  "splits": [],
-  "download_size": null,
-  "post_processing_steps": [],
-  "cardData": {
-    "language_creators": [],
-    "language_codes": [],
-    "multilinguality": null,
-    "size_categories": [],
-    "tasks": ["indoor localization"],
-    "additional_informations": [],
-    "dataset_types": ["tabular"],
-    "pretty_name": "WiFine: Fine-Grained WiFi Localization Dataset"
-  },
-  "github_repo": null
-}
-```
+# WiFine: Fine-Grained WiFi Localization Dataset
 
-**Hugging Face Repo Summary:**
+The WiFine dataset is designed to enhance fine-grained WiFi localization, improving the accuracy and robustness of indoor positioning systems. While specific details such as dataset size and features are unavailable due to the absence of a README, the project's primary goal is to advance research in high-precision WiFi-based indoor location determination.
+
+## **Key Information**:
+**Tags:**: WiFi, localization, indoor positioning, fine-grained
+**Tasks:** Indoor localization
+**Dataset Type:** Tabular
 
-The WiFine dataset aims to facilitate advancements in high-accuracy indoor WiFi localization.  The precise details regarding the dataset's composition (size, features, etc.) remain unknown due to the unavailability of the project's README file.  The dataset is likely suitable for research focused on improving the precision and robustness of indoor positioning systems relying on WiFi signals.  Further information is needed for a complete understanding of the dataset's capabilities.