Upload README.md

README.md

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+---
+license: apache-2.0
+task_categories:
+- text-classification
+language:
+- ar
+- en
+tags:
+- reviews
+- restaurants
+- saudi-arabia
+- google-maps
+- sentiment
+- sentiment-analysis
+- arabic
+- kudu
+size_categories:
+- 100K<n<1M
+---
+
+# Kudu Restaurant Reviews - Google Maps Dataset
+
+## Dataset Description
+
+This dataset contains **282,761 customer reviews** from **364 Kudu restaurant locations** across Saudi Arabia, scraped from Google Maps. Kudu is one of the largest fast-food chains in Saudi Arabia, and this dataset provides comprehensive customer feedback data including ratings, review text (primarily in Arabic), and detailed aspect-based ratings.
+
+**Privacy Notice:** This dataset has been cleaned to remove personally identifiable information (PII) including reviewer names, IDs, and profile URLs to protect user privacy.
+
+### Dataset Summary
+
+- **Total Reviews:** 282,761
+- **Total Locations:** 364
+- **Unique Reviewers:** 223,626
+- **Languages:** Primarily Arabic (ar), with owner responses in both Arabic and English
+- **Date Range:** December 2011 to September 2025 (13.8 years)
+- **Average Rating:** 3.79/5.0
+
+## Dataset Structure
+
+### Data Fields
+
+| Field | Type | Description |
+|-------|------|-------------|
+| `title` | string | Restaurant name in Arabic |
+| `reviewerNumberOfReviews` | int | Total reviews by this reviewer (anonymized) |
+| `isLocalGuide` | boolean | Whether reviewer is a Google Local Guide |
+| `text` | string | Review text (mostly Arabic, can be null) |
+| `textTranslated` | string | Translated review text (if available) |
+| `publishedAtDate` | datetime | ISO 8601 timestamp of review |
+| `likesCount` | int | Number of likes on the review |
+| `reviewId` | string | Unique Google review ID |
+| `reviewUrl` | string | Direct URL to the review |
+| `reviewOrigin` | string | Origin platform (Google) |
+| `stars` | int | Overall rating (1-5) |
+| `rating` | null | Legacy field (unused) |
+| `responseFromOwnerDate` | datetime | When owner responded (if applicable) |
+| `responseFromOwnerText` | string | Owner's response to review |
+| `reviewImageUrls` | list | URLs of images attached to review |
+| `reviewContext` | dict | Additional context metadata |
+| `reviewDetailedRating` | dict | Aspect ratings: Food (الطعام), Service (الخدمة), Atmosphere (الأجواء) |
+| `visitedIn` | string | When the reviewer visited (if specified) |
+| `originalLanguage` | string | Original language of review |
+| `translatedLanguage` | string | Target language if translated |
+| `place_id` | string | Unique Google Place ID |
+| `place_name` | string | Location name (in English) |
+| `place_url` | string | Google Maps URL for the location |
+
+**Note:** Privacy-sensitive fields (reviewer names, IDs, profile URLs, and photos) have been removed from this dataset.
+
+### Detailed Ratings
+
+Many reviews include aspect-based ratings (1-5 scale) for:
+- **Food (الطعام):** Food quality
+- **Service (الخدمة):** Service quality
+- **Atmosphere (الأجواء):** Restaurant atmosphere/ambiance
+
+## Usage
+
+### Loading the Dataset
+
+```python
+from datasets import load_dataset
+# Load the dataset
+dataset = load_dataset("Musaed1/kudu-google-maps-reviews")
+
+# Access the data
+df = dataset['train'].to_pandas()
+
+print(f"Total reviews: {len(df):,}")
+print(f"Average rating: {df['stars'].mean():.2f}")
+```
+
+### Using Parquet directly
+
+```python
+import pandas as pd
+
+df = pd.read_parquet("hf://datasets/YOUR_USERNAME/kudu-reviews/kudu_reviews_cleaned.parquet")
+```
+
+## Dataset Statistics
+
+### Rating Distribution
+- **5 stars:** 141,454 (50.0%)
+- **4 stars:** 45,316 (16.0%)
+- **3 stars:** 35,590 (12.6%)
+- **2 stars:** 14,665 (5.2%)
+- **1 star:** 45,736 (16.2%)
+
+### Key Metrics
+- **Reviews with text:** 50.4% (142,401 reviews)
+- **Owner response rate:** 35.3% (99,948 responses)
+- **Reviews from Local Guides:** High percentage
+- **Average reviews per location:** 781
+- **Reviews per reviewer:** 1.26 (median: 1)
+
+### Aspect Ratings (Average)
+- **Food:** 4.3/5.0
+- **Service:** 4.2/5.0
+- **Atmosphere:** 4.1/5.0
+
+## Use Cases
+
+This dataset is suitable for:
+
+1. **Sentiment Analysis:** Arabic sentiment classification on restaurant reviews
+2. **Aspect-Based Sentiment Analysis:** Understanding sentiment about specific aspects (food, service, atmosphere)
+3. **Rating Prediction:** Predicting overall ratings from review text
+4. **Arabic NLP:** Training and evaluating Arabic language models
+5. **Business Intelligence:** Understanding customer preferences and complaints
+6. **Multilingual Analysis:** Comparing Arabic reviews with English owner responses
+7. **Time Series Analysis:** Tracking rating trends and review patterns over time
+8. **Customer Service Analysis:** Studying owner response patterns and effectiveness
+
+## Data Collection
+
+- **Source:** Google Maps Reviews
+- **Collection Method:** Apify Google Maps Scraper API
+- **Collection Date:** Sep 2025
+- **Geographic Scope:** Saudi Arabia only
+
+## Privacy & Ethics
+
+This dataset has been carefully processed to protect user privacy:
+
+### Removed Information
+- **Reviewer IDs:** Google user IDs have been removed
+- **Reviewer Names:** Personal names have been removed
+- **Profile URLs:** Links to reviewer profiles have been removed
+- **Profile Photos:** URLs to reviewer photos have been removed
+- **Redundant Fields:** Human-readable date field (publishAt) removed
+
+### Retained Information
+- **Review Content:** The actual review text and ratings remain intact for analysis
+- **Aggregated Metrics:** Number of reviews per reviewer (for analyzing reviewer activity patterns)
+- **Local Guide Status:** Whether reviewer is a Local Guide (for quality analysis)
+- **Place Information:** Restaurant locations and identifiers remain for location-based analysis
+
+
+## Limitations
+
+- Reviews are user-generated and may contain biases
+- Some reviews lack text content (rating only)
+- Text is primarily in Arabic with some mixed content
+- Owner responses may follow templates
+- Data represents a snapshot in time (not continuously updated)
+
+## License
+
+This dataset is released under the **apache-2.0** license.
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{kudu_reviews_2025,
+  title={Kudu Restaurant Reviews Dataset},
+  author={[Your Name]},
+  year={2025},
+  publisher={HuggingFace},
+  url={https://huggingface.co/datasets/Musaed1/kudu-google-maps-reviews}
+}
+```
+
+## Acknowledgments
+
+- Data sourced from Google Maps public reviews
+- Scraped using Apify platform
+- Restaurant chain: Kudu (Saudi Arabia)
+
+## Contact
+
+For questions or feedback, please open an issue in the dataset repository.