Upload README.md with huggingface_hub

README.md

@@ -1,33 +1,25 @@
+---
+pretty_name: Wellness Tourism — Customer Propensity
+license: other
+language: en
+tags: [tabular, classification, propensity, tourism]
+task_categories: [tabular-classification]
+task_ids: [binary-classification]
+size_categories: [1K<n<10K]
+---
+
 # Wellness Tourism — Customer Propensity Dataset
 
-**Task:** Binary classification (`ProdTaken`) to predict purchase of the Wellness Package.
+**Task:** Binary classification (`ProdTaken`: 0/1) to predict purchase of the Wellness Package.
 
 ## Files
 - `raw/tourism.csv`
 - `processed/train.csv`, `processed/test.csv`
 
-## Usage
+## Quick start
 ```python
 from huggingface_hub import hf_hub_download
 import pandas as pd
 p = hf_hub_download("deva8217/tourism-wellness", "processed/train.csv", repo_type="dataset")
-pd.read_csv(p).head()
-
-
-### 3) Upload the README to your **HF Dataset** (no Markdown fences, use your real IDs)
-```bash
-python - <<'PY'
-import os
-from huggingface_hub import upload_file
-rid = f"{os.environ.get('HF_USERNAME','deva8217')}/{os.environ.get('HF_DATASET_REPO','tourism-wellness')}"
-tok = os.environ.get("HF_TOKEN")  # ok to be None if you are logged in & have write access
-upload_file(
-    path_or_fileobj="README.md",
-    path_in_repo="README.md",
-    repo_id=rid,
-    repo_type="dataset",
-    token=tok,
-)
-print("✅ README uploaded to", rid)
-PY
-
+df = pd.read_csv(p)
+df.head()