Update README.md

README.md

@@ -33,14 +33,14 @@ b. Download the dataset:
 from huggingface_hub import snapshot_download
 
 dataset_name = "hope"
-local_dir = "./datasets"
+local_dir = "./bop_datasets"
 
-snapshot_download(repo_id="bop-benchmark/datasets", 
-                  allow_patterns=f"{dataset_name}/*zip",
+snapshot_download(repo_id=f"bop-benchmark/{dataset_name}", 
+                  allow_patterns="*zip",
                   repo_type="dataset", 
                   local_dir=local_dir)
 ```
-If you want to download the entire BOP datasets (~3TB), please remove the `allow_patterns` argument. More options are available in the [official documentation](https://huggingface.co/docs/huggingface_hub/main/en/guides/download).
+More options are available in the [official documentation](https://huggingface.co/docs/huggingface_hub/main/en/guides/download).
 
 
 #### Option 2: Using `huggingface_hub[cli]`:
@@ -51,28 +51,24 @@ pip install -U "huggingface_hub[cli]"
 ```
 b. Download the dataset:
 ```
-export LOCAL_DIR=./datasets
+export LOCAL_DIR=./bop_datasets
 export DATASET_NAME=hope
 
-huggingface-cli download bop-benchmark/datasets --include "$DATASET_NAME/*.zip" --local-dir $LOCAL_DIR --repo-type=dataset  
+huggingface-cli download bop-benchmark/$DATASET_NAME --include "*.zip" --local-dir $LOCAL_DIR --repo-type=dataset  
 ```
-Please remove this argument `--include "$DATASET_NAME/*.zip"` to download entire BOP datasets (~3TB). More options are available in the [official documentation](https://huggingface.co/docs/huggingface_hub/main/en/guides/download).
+More options are available in the [official documentation](https://huggingface.co/docs/huggingface_hub/main/en/guides/download).
 
 #### Option 3: Using `wget`:
 
 Similar `wget` command as in [BOP website](https://bop.felk.cvut.cz/datasets/) can be used to download the dataset from huggingface hub:
 ```
-export SRC=https://huggingface.co/datasets/bop-benchmark/datasets/resolve/main
+mkdir $DATASET_NAME; cd $DATASET_NAME
+export SRC=https://huggingface.co/datasets/bop-benchmark/${DATASET_NAME}/resolve/main
 
-wget $SRC/lm/lm_base.zip         # Base archive 
-wget $SRC/lm/lm_models.zip       # 3D object models
-wget $SRC/lm/lm_test_all.zip     # All test images ("_bop19" for a subset)
-wget $SRC/lm/lm_train_pbr.zip    # PBR training images 
-```
-
-Datasets are stored in `.zip` format. You can extract them using the following command:
-```
-bash scripts/extract_bop.sh
+wget $SRC/${DATASET_NAME}_base.zip         # Base archive with dataset info, camera parameters, etc.
+wget $SRC/${DATASET_NAME}_models.zip       # 3D object models.
+wget $SRC/${DATASET_NAME}_test_all.zip     # All test images ("_bop19" for a subset used in the BOP Challenge 2019). 
+wget $SRC/${DATASET_NAME}_train_pbr.zip    # PBR training images (rendered with BlenderProc4BOP).
 ```
 
 If you are running on a machine with high bandwidth, you can increase your download speed by adding the following environment variable:
@@ -114,14 +110,14 @@ c. Upload dataset:
 
 The command is applied for both folders and specific files:
 ```
-# Usage:  huggingface-cli upload bop-benchmark/datasets [local_path] [path_in_repo] --repo-type=dataset --create-pr
+# Usage:  huggingface-cli upload bop-benchmark/DATASET_NAME [local_path] [path_in_repo] --repo-type=dataset --create-pr
 ```
 For example, to upload hope dataset:
 ```
-export LOCAL_FOLDER=./datasets/hope
-export HF_FOLDER=/hope
+export LOCAL_FOLDER=./bop_datasets/hope
+export HF_FOLDER=./
 
-huggingface-cli upload bop-benchmark/datasets $LOCAL_FOLDER $HF_FOLDER --repo-type=dataset --create-pr
+huggingface-cli upload bop-benchmark/hope $LOCAL_FOLDER $HF_FOLDER --repo-type=dataset --create-pr
 ```
 
 #### Option 2: Using `huggingface_hub`:
@@ -142,7 +138,7 @@ local_dir = "./datasets/lmo"
 operations = []
 for file in local_dir.glob("*"):
     add_commit = CommitOperationAdd(
-        path_in_repo=f"/{dataset_name}",
+        path_in_repo="./",
         path_or_fileobj=local_dir,
     )
     operations.append(add_commit)
@@ -150,7 +146,7 @@ for file in local_dir.glob("*"):
 
 api = HfApi()
 MY_TOKEN = # get from https://huggingface.co/settings/tokens
-api.create_commit(repo_id="bop-benchmark/datasets", 
+api.create_commit(repo_id=f"bop-benchmark/{dataset_name}", 
                   repo_type="dataset",
                   commit_message=f"adding {dataset_name} dataset", 
                   token=MY_TOKEN,