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Upload README.md with huggingface_hub

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@@ -11,31 +11,28 @@ tags: Navigation, Path, Anomaly Detection
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  _Note: This is an AI-generated dataset so its content may be inaccurate or false_
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- **Dataset Description:** The 'DronePathTracker' dataset contains time-stamped GPS coordinates of drone flight paths, labeled with their respective flight phases and anomalies. It's designed to support machine learning models for drone navigation and anomaly detection in drone trajectory data.
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  **CSV Content Preview:**
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- ```
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  timestamp,latitude,longitude,altitude,label
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- 2023-01-01 08:00:00,34.052235,-118.243683,30,takeoff
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- 2023-01-01 08:05:00,34.052500,-118.243900,35,climb
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- 2023-01-01 08:10:00,34.053000,-118.244000,40,level
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- 2023-01-01 08:15:00,34.054000,-118.244200,38,dip
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- 2023-01-01 08:20:00,34.055000,-118.244500,37,dip
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  ```
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  **Source of the data:**
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- The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'drone trajectory':
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- - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=drone+trajectory&dataset=DronePathTracker&tags=Navigation,+Path,+Anomaly+Detection
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  - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
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  - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
 
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  _Note: This is an AI-generated dataset so its content may be inaccurate or false_
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+ **Dataset Description:**
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+ The 'DronePathTracker' dataset is designed to assist machine learning practitioners in developing models for drone navigation and anomaly detection. Each row represents a segment of a drone's flight path, including coordinates, timestamps, and metadata. The dataset is useful for training models that can predict drone trajectories, identify deviations from the planned path, and understand the factors contributing to these anomalies. The dataset includes labeled segments that describe the state of the drone at different points in time, with labels categorizing the trajectory as 'Normal', 'Anomaly', or 'Unlabelled' due to insufficient data.
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  **CSV Content Preview:**
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+ ```csv
 
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  timestamp,latitude,longitude,altitude,label
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+ 2023-01-01T12:00:00Z,34.0522,-118.2437,100m,Normal
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+ 2023-01-01T12:00:10Z,34.0523,-118.2436,102m,Normal
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+ 2023-01-01T12:00:20Z,34.0525,-118.2435,101m,Normal
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+ 2023-01-01T12:00:30Z,34.0530,-118.2430,105m,Anomaly
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+ 2023-01-01T12:00:40Z,34.0540,-118.2420,110m,Anomaly
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+ 2023-01-01T12:00:50Z,34.0550,-118.2410,108m,Unlabelled
 
 
 
 
 
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  ```
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+ The first three rows show a typical normal drone flight path, while the last two indicate a potential anomaly in the trajectory. The final row could not be labeled due to insufficient data for confirmation.
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  **Source of the data:**
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+ The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query '':
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+ - **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=&dataset=DronePathTracker&tags=Navigation,+Path,+Anomaly+Detection
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  - **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
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  - **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub