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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.
@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 }
}
