Update README.md

README.md

@@ -26,12 +26,8 @@ The Temporal Logic Video (TLV) Dataset addresses the scarcity of state-of-the-ar
 
 - [Dataset Composition](#dataset-composition)
 - [Dataset](#dataset)
-- [Installation](#installation)
-- [Usage](#usage)
-- [Data Generation](#data-generation)
-- [Contribution Guidelines](#contribution-guidelines)
 - [License](#license)
-- [Acknowledgments](#acknowledgments)
+
 
 ## Dataset Composition
 
@@ -101,71 +97,6 @@ You can download a dataset from here. The structure of the dataset is as follows
 | Event A Until Event B | 60| 60 | 45| 494 |
 | (Event A And Event B) Until Event C | 97 | - | 30 | 186|
 
-
-## Installation
-
-```bash
-python -m venv .venv
-source .venv/bin/activate
-python -m pip install --upgrade pip build
-python -m pip install --editable ."[dev, test]"
-```
-
-### Prerequisites
-
-1. ImageNet (ILSVRC 2017):
-   ```
-   ILSVRC/
-   ├── Annotations/
-   ├── Data/
-   ├── ImageSets/
-   └── LOC_synset_mapping.txt
-   ```
-
-2. COCO (2017):
-   ```
-   COCO/
-   └── 2017/
-       ├── annotations/
-       ├── train2017/
-       └── val2017/
-   ```
-
-## Usage
-
-Detailed usage instructions for data loading and processing.
-
-### Data Loader Configuration
-
-- `data_root_dir`: Root directory of the dataset
-- `mapping_to`: Label mapping scheme (default: "coco")
-- `save_dir`: Output directory for processed data
-
-### Synthetic Data Generator Configuration
-
-- `initial_number_of_frame`: Starting frame count per video
-- `max_number_frame`: Maximum frame count per video
-- `number_video_per_set_of_frame`: Videos to generate per frame set
-- `increase_rate`: Frame count increment rate
-- `ltl_logic`: Temporal Logic specification (e.g., "F prop1", "G prop1")
-- `save_images`: Boolean flag for saving individual frames
-
-## Data Generation
-
-### COCO Synthetic Data Generation
-
-```bash
-python3 run_scripts/run_synthetic_tlv_coco.py --data_root_dir "../COCO/2017" --save_dir "<output_dir>"
-```
-
-### ImageNet Synthetic Data Generation
-
-```bash
-python3 run_synthetic_tlv_imagenet.py --data_root_dir "../ILSVRC" --save_dir "<output_dir>"
-```
-
-Note: ImageNet generator does not support '&' LTL logic formulae.
-
 ## License
 
 This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
@@ -181,13 +112,3 @@ If you find this repo useful, please cite our paper:
   year={2024}
 }
 ```
-
-
-[contributors-shield]: https://img.shields.io/github/contributors/UTAustin-SwarmLab/temporal-logic-video-dataset.svg?style=for-the-badge
-[contributors-url]: https://github.com/UTAustin-SwarmLab/temporal-logic-video-dataset/graphs/contributors
-[forks-shield]: https://img.shields.io/github/forks/UTAustin-SwarmLab/temporal-logic-video-dataset.svg?style=for-the-badge
-[forks-url]: https://github.com/UTAustin-SwarmLab/temporal-logic-video-dataset/network/members
-[stars-shield]: https://img.shields.io/github/stars/UTAustin-SwarmLab/temporal-logic-video-dataset.svg?style=for-the-badge
-[stars-url]: https://github.com/UTAustin-SwarmLab/temporal-logic-video-dataset/stargazers
-[license-shield]: https://img.shields.io/github/license/UTAustin-SwarmLab/temporal-logic-video-dataset.svg?style=for-the-badge
-[license-url]: https://github.com/UTAustin-SwarmLab/temporal-logic-video-dataset/blob/master/LICENSE.txt