Update article_release/README.md

article_release/README.md

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 # Article-Release Dataset Downloads
 
-The article-release versions of the benchmark dataset are currently distributed through a public Google Drive folder.
+The finalized article-release dataset is hosted directly in this Hugging Face repository.
 
-## Primary Download
+## Primary Download — Hugging Face
 
-Please use the following Google Drive folder as the primary download source:
+| File | Format | View on Hugging Face | Direct download |
+|---|---|---|---|
+| `ALL_benchmark_W60.parquet` | Apache Parquet | [View file](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/blob/main/article_release/ALL_benchmark_W60.parquet) | [Download](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/resolve/main/article_release/ALL_benchmark_W60.parquet?download=true) |
+| `ALL_benchmark_W60.xlsx` | Microsoft Excel | [View file](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/blob/main/article_release/ALL_benchmark_W60.xlsx) | [Download](https://huggingface.co/datasets/NifferLi/Cold-Chain-Transportation-Strawberry/resolve/main/article_release/ALL_benchmark_W60.xlsx?download=true) |
 
-[Download the article-release dataset from Google Drive]()
+The Parquet file is recommended for programmatic analysis. The Excel file is provided for convenient inspection and use in spreadsheet software.
 
-The folder contains:
+## Backup Download — Google Drive
 
-| File | Format | Recommended use |
-|---|---|---|
-| `ALL_benchmark_W60.xlsx` | Microsoft Excel | Convenient inspection and use in spreadsheet software |
-| `ALL_benchmark_W60.parquet` | Apache Parquet | Recommended for programmatic analysis and efficient data loading |
+If the Hugging Face preview or download is temporarily unavailable, the same article-release files can be downloaded from the following public Google Drive backup folder:
 
-Both files contain the same finalized article-release benchmark dataset:
+[Open the Google Drive backup folder](https://drive.google.com/drive/folders/1nGwz-wM6gM68djXA60qpG-73-kPFidKW?usp=sharing)
+
+The backup folder contains:
+
+```text
+ALL_benchmark_W60.parquet
+ALL_benchmark_W60.xlsx
+```
+
+The Google Drive folder is configured as:
+
+> **Anyone with the link → Viewer**
+
+No access request should normally be required.
+
+## Dataset Description
+
+Both files contain the same finalized article-release benchmark dataset in different formats.
+
+The dataset contains:
 
 - **14,398 rows**
 - **107 columns**
-- W60 benchmark data used for the article release
+- data from six strawberry cold-chain shipments;
+- resampled multi-sensor temperature measurements;
+- engineered W60 features;
+- current risk-stage labels;
+- future severe-risk prediction targets;
+- explanation-consistency cause flags;
+- data-quality, confidence, and audit-related fields.
 
-## Reason for Using Google Drive
+## Recommended Format
 
-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 files from its Xet/CAS storage service.
+### Parquet
 
-The repository entries and file pointers could be created successfully, but the actual binary files could not be consistently previewed or downloaded through the Hugging Face interface. This issue was observed for both Excel and Parquet files and persisted after repeated uploads, new filenames, and newly generated file hashes.
+Use `ALL_benchmark_W60.parquet` for:
 
-The files themselves were validated locally and could be opened and read normally. The problem therefore appears to be related to the Hugging Face Xet/CAS storage-access layer rather than file corruption or dataset formatting.
+- Python or R analysis;
+- machine-learning experiments;
+- preservation of data types;
+- efficient loading and storage.
 
-To ensure that the dataset remains immediately and publicly accessible, the two files are temporarily distributed through Google Drive. The inaccessible Hugging Face-hosted binary copies were removed to avoid broken download links.
+### Excel
 
-The Hugging Face repository remains the official location for:
+Use `ALL_benchmark_W60.xlsx` for:
 
-- dataset documentation;
-- benchmark definitions;
-- code and notebooks;
-- metadata and supporting files;
-- release notes;
-- version history.
+- manual inspection;
+- spreadsheet-based review;
+- convenient viewing of columns and values.
 
-Direct hosting on Hugging Face may be restored after the Xet/CAS storage issue is resolved.
+## Loading with Python
 
-## Access
+### Parquet
 
-The Google Drive folder is configured as:
+```python
+from huggingface_hub import hf_hub_download
+import pandas as pd
 
-> **Anyone with the link → Viewer**
+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())
+```
+
+### Excel
 
-No access request should be required.
+```python
+from huggingface_hub import hf_hub_download
+import pandas as pd
+
+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)
 
-If Google Drive asks you to request access, please report the issue through the Hugging Face repository discussion page.
+print(df.shape)
+print(df.head())
+```
 
-## Loading the Dataset
+## Loading Files Downloaded from Google Drive
 
-### Python — Parquet
+If the files were downloaded from the Google Drive backup folder, load them directly from the local directory:
 
 ```python
 import pandas as pd
 
-df = pd.read_parquet("ALL_benchmark_W60.parquet")
-print(df.shape)
+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)
+```
+
+## Availability Note
+
+Hugging Face is the primary hosting and documentation platform for this dataset.
+
+The public Google Drive folder is maintained as a backup mirror to ensure continuous access if the Hugging Face file preview, content-delivery service, or direct download is temporarily unavailable.
+
+Both locations provide the same finalized article-release files.
+
+## Citation
+
+When using this dataset, please cite the associated article:
+
+```text
+Li, H., Uygun, Ö., Yu, X., Zhou, Y., Chang, X., & Chen, C.-H.
+A Human-Centric Edge-Oriented Decision Support System for Cold Chain Transportation:
+Early Warning, Trigger-Time Explanation, and Prescriptive Action Ranking.
+Advanced Engineering Informatics, forthcoming.
+```
+
+The DOI and final bibliographic details will be added once available.
+
+The dataset repository may also be cited as:
+
+```bibtex
+@dataset{li_coldchain_transportation_strawberry_advei,
+  author    = {Li, Hu},
+  title     = {Cold-Chain Transportation Strawberry Dataset for ADVEI Article Release},
+  publisher = {Hugging Face},
+  year      = {2026},
+  note      = {Processed dataset for the accepted Advanced Engineering Informatics article}
+}
+```
+
+## Contact
+
+For questions about the dataset, file contents, or download access, please open a discussion in the Hugging Face dataset repository.