Datasets:

issai
/

WiFine

@@ -1,56 +1,34 @@
-<!-- Hugging Face Dataset Card
-**Dataset Name:**  (Please provide the dataset name here)
-**Summary:**
-(Please provide a concise summary of the dataset here, describing its content, purpose, and intended use.  The summary should be informative and engaging, highlighting the key features of the dataset.)
-**Tags:** (Please add relevant tags, e.g., "text classification", "image classification", "natural language processing", "time series", etc.)
-**Citation:**
-(If there is a citation, please add it here using BibTeX format.  For example:
-```bibtex
-@article{your_citation,
-  author = {Author, A. and Author, B.},
-  title = {Title of the paper},
-  journal = {Journal Name},
-  year = {2023}
 }
 ```
-)
-**GitHub Repository:**
-(If available, provide the link to the GitHub repository here.)
-**License:**
-(Specify the license under which the dataset is distributed.  For example, "MIT License", "Creative Commons Attribution 4.0 International License", etc.)
-**Additional Information:**
-(If necessary, include any other relevant information about the dataset, such as data splits, preprocessing steps, or limitations.)
-**Tables:**
-(If the original content contained tables, please include them here in markdown format.  For example:
-| Column Name 1 | Column Name 2 | Column Name 3 |
-|---|---|---|
-| Value 1 | Value 2 | Value 3 |
-| Value 4 | Value 5 | Value 6 |
-)
-**(Note:  Because the provided content resulted in errors ("Invalid URL" and "404 Client Error"), I was unable to include specifics.  Please provide the relevant information for the dataset card to be complete.)**
- -->

+```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
 }
 ```
+**Hugging Face Repo Summary:**
+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.