Update README

README.md

@@ -1,6 +1,9 @@
-# 3D MLLM Dataset and Codebooks Details
+---
+license: apache-2.0
+---
+# Kyvo Dataset and Codebooks Details
 
-This document provides details about the dataset and codebooks provided in the `3d-mllm-datasets-and-codebooks` repository. We will provide the details about each of the folders in the repository and the contents of each folder.
+This document provides details about the dataset and codebooks provided in the `kyvo-datasets-and-codebooks` repository. We will provide the details about each of the folders in the repository and the contents of each folder.
 
 ## Data Generation Pipeline
 
@@ -15,7 +18,7 @@ The pipeline that we follow to generate the pre-tokenized data is as follows:
 
 ## Pre-tokenized Data
 
-The `pretokenized-data` folder contains all the pre-tokenized data for the datasets used in the 3D MLLM project. The pre-tokenized data is stored in the following structure:
+The `pretokenized-data` folder contains all the pre-tokenized data for the datasets used in the Kyvo project. The pre-tokenized data is stored in the following structure:
 
 ```python
 pretokenized-data/
@@ -54,16 +57,13 @@ For the exact files that correspond to the input and output data for each task,
 
 ## VQGAN Models and Codebooks
 
-The `vqgan-models-and-codebooks` folder contains all the VQGAN model checkpoints and codebooks for the datasets used in the 3D MLLM project. The VQGAN model checkpoints and codebooks are stored in the following structure:
+The `vqgan-models-and-codebooks` folder contains all the VQGAN model checkpoints and codebooks for the datasets used in the Kyvo project. The VQGAN model checkpoints and codebooks are stored in the following structure:
 
 ```python
 vqgan-models-and-codebooks/
 |-- clevr/
 |   |-- 2024-10-10T09-21-36_custom_vqgan_CLEVR-LARGE/ # contains the VQGAN model checkpoint for CLEVR
 |   |-- custom_vqgan_embedding_1024CLEVRLARGE_256dim.npy # contains the VQGAN codebook for CLEVR
-|-- domain-agnostic/
-|   |-- vqgan_gumbel_f8/ # contains the VQGAN model checkpoint for Domain Agnostic VQGAN (provided by taming-transformers)
-|   |-- quantize_weight_8192.npy # contains the VQGAN codebook for Domain Agnostic VQGAN
 |-- objaworld/
 |   |-- 2025-01-17T09-02-22_custom_vqgan_SYNTHETIC_LIVINGROOM_PARK_LARGE_EP100/ # contains the VQGAN model checkpoint for ObjaWorld
 |   |-- custom_vqgan_embedding_256SYNTHETIC_LIVINGROOM_PARK_LARGE_EP100_256dim.npy # contains the VQGAN codebook for ObjaWorld
@@ -74,14 +74,11 @@ vqgan-models-and-codebooks/
 
 ## Images and Scenes for Evaluation
 
-The `images-and-scenes-for-evaluation` folder contains all the groundtruth images and scenes for the datasets used in the 3D MLLM project. The images and scenes are used to compute the evaluation metrics for the different tasks. The images and scenes are stored in the following structure:
+The `images-and-scenes-for-evaluation` folder contains all the groundtruth images and scenes for the datasets used in the Kyvo project. The images and scenes are used to compute the evaluation metrics for the different tasks. The images and scenes are stored in the following structure:
 
 ```python
 images-and-scenes-for-evaluation/
 |-- clevr/ # contains all images and scenes for evaluation for CLEVR
 |-- objaworld/ # contains all images and scenes for evaluation for ObjaWorld
 |-- objectron/ # contains all scenes for evaluation for Objectron
-```
-
-
-
+```