Update README.md

README.md

@@ -28,28 +28,22 @@ To be published in: *Advanced Engineering Informatics*.
 
 ## Final Article Release
 
-The finalized article-release dataset is currently distributed through a public Google Drive folder:
+The finalized article-release dataset is hosted directly in this Hugging Face repository and can be viewed or downloaded using the links below:
 
-[Download the article-release dataset from Google Drive](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)
-
-The folder contains:
-
-```text
-ALL_benchmark_W60.parquet
-ALL_benchmark_W60.xlsx
-```
+| File | Hugging Face |
+|---|---|
+| `ALL_benchmark_W60.parquet` | [View or download](article_release/ALL_benchmark_W60.parquet) |
+| `ALL_benchmark_W60.xlsx` | [View or download](article_release/ALL_benchmark_W60.xlsx) |
 
 The Parquet file is recommended for programmatic use. The Excel file is provided for convenient inspection.
 
-Detailed download information is also available at:
-
-[`article_release/DOWNLOAD_DATA.md`](article_release/DOWNLOAD_DATA.md)
+If the Hugging Face preview or download is temporarily unavailable, the same files can be downloaded from the following public Google Drive backup folder:
 
-The two binary files were originally hosted directly in this Hugging Face repository. However, repeated HTTP 403 errors occurred when Hugging Face attempted to retrieve the underlying objects from its Xet/CAS storage service. The repository entries could be created successfully, but the binary objects could not be consistently previewed or downloaded through the Hugging Face interface.
+[Download from the Google Drive backup mirror](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)
 
-Both files were validated locally and could be opened and read normally. The issue therefore appears to be related to the Hugging Face Xet/CAS storage-access layer rather than file corruption or dataset formatting.
+Detailed download instructions are available at:
 
-To ensure immediate and reliable public access, Google Drive is temporarily used as the primary distribution method. This Hugging Face repository remains the official location for dataset documentation, metadata, code, release notes, and version history. Direct binary hosting on Hugging Face may be restored after the Xet/CAS issue is resolved.
+[`article_release/DOWNLOAD_DATA.md`](article_release/DOWNLOAD_DATA.md)
 
 The final article-release table contains the integrated W60 processed benchmark used in the study, including shipment identifiers, timestamps, resampled multi-sensor temperature records, engineered W60 features, risk labels, future severe-risk prediction targets, cause flags for explanation consistency checking, and evaluation/audit-related fields.
 
@@ -85,6 +79,8 @@ This dataset supports research on:
 ```text
 Cold-Chain-Transportation-Strawberry/
 ├── article_release/
+│   ├── ALL_benchmark_W60.parquet
+│   ├── ALL_benchmark_W60.xlsx
 │   └── DOWNLOAD_DATA.md
 ├── data/
 │   ├── w60_S1.parquet
@@ -101,22 +97,27 @@ Cold-Chain-Transportation-Strawberry/
 └── README.md
 ```
 
-The finalized article-release files are distributed through the public Google Drive folder linked above and in `article_release/DOWNLOAD_DATA.md`.
+The two finalized files under `article_release/` are the primary files for reproducing or inspecting the dataset used in the accepted ADVEI article. A public Google Drive backup mirror is provided in `article_release/DOWNLOAD_DATA.md`.
 
 ## Recommended Files
 
-The authoritative processed dataset for the accepted ADVEI article is distributed through the following public Google Drive folder:
+The authoritative processed dataset for the accepted ADVEI article is:
 
-[Open the article-release download folder](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)
+```text
+article_release/ALL_benchmark_W60.parquet
+```
 
-The folder contains:
+The corresponding Excel file is:
 
 ```text
-ALL_benchmark_W60.parquet
-ALL_benchmark_W60.xlsx
+article_release/ALL_benchmark_W60.xlsx
 ```
 
-The Parquet file is recommended for programmatic analysis. The Excel file contains the corresponding dataset in a format suitable for convenient inspection.
+The Parquet file is recommended for programmatic analysis. The Excel file contains the same article-release dataset in a format suitable for convenient inspection.
+
+If either Hugging Face file is temporarily unavailable, use the public Google Drive backup mirror:
+
+[Open the Google Drive backup folder](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)
 
 The six shipment-level files under `data/` are retained for shipment-level inspection:
 
@@ -137,7 +138,7 @@ data/w60_all.parquet
 
 The folders `benchmark_v2/` and `benchmark_v2_pca/` are earlier or auxiliary processed releases. They are retained for transparency but are not the primary files for reproducing the accepted ADVEI article.
 
-For the final article release, use the two files provided through the public Google Drive folder.
+For the final article release, use the files under `article_release/`.
 
 ---
 
@@ -162,16 +163,21 @@ Future labels such as `y_next_*` and time-to-event fields such as `eta_to_R2_*`
 
 ## How to Load
 
-First, download the finalized article-release files from:
-
-[Google Drive article-release folder](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)
-
 ### Load the final article-release Parquet file
 
 ```python
+from huggingface_hub import hf_hub_download
 import pandas as pd
 
-df = pd.read_parquet("ALL_benchmark_W60.parquet")
+repo_id = "NifferLi/Cold-Chain-Transportation-Strawberry"
+
+path = hf_hub_download(
+    repo_id=repo_id,
+    filename="article_release/ALL_benchmark_W60.parquet",
+    repo_type="dataset"
+)
+
+df = pd.read_parquet(path)
 
 print(df.shape)
 print(df.head())
@@ -180,15 +186,42 @@ print(df.head())
 ### Load the Excel version
 
 ```python
+from huggingface_hub import hf_hub_download
 import pandas as pd
 
-df = pd.read_excel("ALL_benchmark_W60.xlsx")
+repo_id = "NifferLi/Cold-Chain-Transportation-Strawberry"
+
+path = hf_hub_download(
+    repo_id=repo_id,
+    filename="article_release/ALL_benchmark_W60.xlsx",
+    repo_type="dataset"
+)
+
+df = pd.read_excel(path)
 
 print(df.shape)
 print(df.head())
 ```
 
-### Load a shipment-level Parquet file from Hugging Face
+### Backup Download
+
+If the Hugging Face preview or download is temporarily unavailable, download the same files from the public Google Drive backup folder:
+
+[Google Drive backup folder](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)
+
+After downloading, the files can be loaded locally:
+
+```python
+import pandas as pd
+
+df_parquet = pd.read_parquet("ALL_benchmark_W60.parquet")
+df_excel = pd.read_excel("ALL_benchmark_W60.xlsx")
+
+print(df_parquet.shape)
+print(df_excel.shape)
+```
+
+### Load a shipment-level Parquet file
 
 ```python
 from huggingface_hub import hf_hub_download
@@ -792,12 +825,13 @@ T_*
 dur_*
 ```
 
-Users should download `ALL_benchmark_W60.parquet` from the public Google Drive article-release folder and inspect its column names for the complete feature list.
+Users should inspect the column names in `article_release/ALL_benchmark_W60.parquet` for the complete feature list.
 
 ---
 
 ## Changelog
 
-- `article_release`: Final processed benchmark documentation and download instructions for the accepted ADVEI article.
-- The finalized `ALL_benchmark_W60.parquet` and `ALL_benchmark_W60.xlsx` files are temporarily distributed through a public Google Drive folder because of repeated HTTP 403 errors from the Hugging Face Xet/CAS storage layer.
+- `article_release`: Final processed benchmark files and download instructions for the accepted ADVEI article.
+- `ALL_benchmark_W60.parquet` and `ALL_benchmark_W60.xlsx` are hosted directly in the Hugging Face repository.
+- A public Google Drive folder is maintained as a backup mirror in case Hugging Face preview or download is temporarily unavailable.
 - Earlier folders such as `benchmark_v2/` and `benchmark_v2_pca/` are retained as legacy or auxiliary processed releases.