---
license: apache-2.0
language:
- ur
pretty_name: Urdu_news_dataset
---


# Urdu Text Dataset Analysis
## Dataset: cleaned_content_only_unique.csv

## Dataset Overview
- **File Information**
  - Size: 14.59 MB (15,297,210 bytes)
  - Encoding: UTF-8

## Basic Statistics
- Total Characters: 8,394,639
- Total Characters (excluding spaces): 6,982,483
- Total Lines: 4,151
- Total Paragraphs: 1
- Total Sentences: 29,005
- Total Words: 1,559,432

## Linguistic Analysis
- Vocabulary Size: 52,112
- Average Word Length: 4.33 characters
- Median Word Length: 4.0 characters
- Average Sentence Length: 53.76 words
- Median Sentence Length: 26.0 words
- Longest Word: عبدالظاہرکوتعزیرات (18 characters)
- Shortest Word: ا (1 characters)

## Structural Analysis
- Average Paragraph Length: 1416307.00 words
- Maximum Paragraph Length: 1,416,307 words
- Minimum Paragraph Length: 1,416,307 words
- Empty Lines: 0

### Line Length Statistics
- Mean: 2021.32 characters
- Median: 1783.00 characters
- Maximum: 22,626 characters
- Minimum: 17 characters

## Vocabulary Analysis
- Total Unique Words: 52,112
- Hapax Legomena (words appearing once): 20,143
- Dis Legomena (words appearing twice): 6,625
- Vocabulary Richness: 0.0334

### Most Frequent Words (Top 20)
| Rank | Word | Frequency |
|------|------|-----------|
| 1 | ا | 31,618 |
| 2 | ی | 19,845 |
| 3 | ے | 8,769 |
| 4 | ر | 6,763 |
| 5 | یں | 5,139 |
| 6 | ي | 4,323 |
| 7 | ل | 4,171 |
| 8 | ن | 4,013 |
| 9 | ساي | 3,105 |
| 10 | فاي | 2,977 |
| 11 | ں | 2,899 |
| 12 | ٹ | 2,804 |
| 13 | س | 2,690 |
| 14 | م | 2,454 |
| 15 | یوں | 2,086 |
| 16 | پاي | 2,024 |
| 17 | واي | 1,996 |
| 18 | لاي | 1,986 |
| 19 | جاي | 1,853 |
| 20 | بناي | 1,820 |

## Character Analysis

### Unicode Categories Distribution
- Nd: 75,921
- Lo: 6,670,503
- Po: 74,303
- Mn: 157,425
- Cf: 159
- Lm: 22

### Writing Scripts Used
- DIGIT: 75,921
- ARABIC: 6,902,253
- ZERO: 159

### Special Characters (Top 20)
| Character | Unicode Name | Count |
|-----------|--------------|-------|
| ٔ | ARABIC HAMZA ABOVE | 102,571 |
| ، | ARABIC COMMA | 36,006 |
| ٓ | ARABIC MADDAH ABOVE | 31,547 |
| ۔ | ARABIC FULL STOP | 29,005 |
| ِ | ARABIC KASRA | 10,654 |
| ؟ | ARABIC QUESTION MARK | 9,106 |
| ُ | ARABIC DAMMA | 6,368 |
| ٰ | ARABIC LETTER SUPERSCRIPT ALEF | 3,789 |
| ً | ARABIC FATHATAN | 1,664 |
| ّ | ARABIC SHADDA | 694 |
| ٭ | ARABIC FIVE POINTED STAR | 171 |
|  | ZERO WIDTH NO-BREAK SPACE | 159 |
| َ | ARABIC FATHA | 109 |
| ؛ | ARABIC SEMICOLON | 15 |
| ْ | ARABIC SUKUN | 6 |
| ٖ | ARABIC SUBSCRIPT ALEF | 6 |
| ٍ | ARABIC KASRATAN | 5 |
| ٌ | ARABIC DAMMATAN | 5 |
| ٘ | ARABIC MARK NOON GHUNNA | 4 |
| ٕ | ARABIC HAMZA BELOW | 2 |

## Dataset Quality Metrics
- Text appears to be properly segmented into paragraphs and sentences.
- Unicode encoding is properly maintained.
- Special characters and scripts are consistently used.

## Notes and Methodology
- Analysis performed using Python 3 with Unicode support.
- Word boundaries determined using regular expressions.
- Sentences delimited by Urdu punctuation marks.
- Character analysis includes Unicode category and script information.
- Vocabulary analysis includes frequency distribution and richness metrics.

## Potential Use Cases
- Urdu language processing.
- Linguistic research.
- Text classification.
- Language modeling.
- Vocabulary analysis.

## Data Format
- Plain text in CSV.
- UTF-8 encoded.
- Line-delimited paragraphs.
- Standard Urdu orthography.



```bibtext
@misc {haq_nawaz_malik_2024,
	author       = { {HAQ NAWAZ MALIK} },
	title        = { Urdu_news_Dataset (Revision b36554a) },
	year         = 2024,
	url          = { https://huggingface.co/datasets/Omarrran/Urdu_news_Dataset },
	doi          = { 10.57967/hf/3597 },
	publisher    = { Hugging Face }
}