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Multilingual Dictionary Dataset Analysis

Dataset Overview

  • Total Entries: 16,598
  • Languages: English, Kashmiri, Urdu, Chinese, Turkish
  • Total Columns: 12
  • Last Updated: 2024-11-16
  • File Format: CSV
  • File Size: 5.59 MB
  • Character Encoding: UTF-8

Data Structure

The dataset contains entries across five languages with their examples and translations organized in the following columns:

seq_num, word, word_type, english_example, kashmiri_word, kashmiri_example, 
URDU WORD, urdu_translation, chinese_word, chinese_example, turkish_word, turkish_example

Language-specific Statistics

Language Total Entries Unique Entries Avg Word Length Completeness % Has Examples
English 16,571 8,989 7.24 99.84 Yes
Kashmiri 16,503 12,874 10.65 99.55 Yes
Urdu 15,299 10,862 9.08 95.06 yes
Chinese 16,587 7,043 2.26 99.88 Yes
Turkish 16,587 6,767 7.28 99.88 Yes

Data Fields Analysis

Field Name Non-null Entries Unique Values Avg Length (chars)
seq_num 16,598 24 -
word 16,587 8,989 7.24
word_type 10,355 31 1.72
english_example 16,571 16,449 40.55
kashmiri_word 16,503 12,874 10.65
kashmiri_example 16,545 16,412 42.62
URDU WORD 15,299 10,862 9.08
urdu_Example 16,258 15,998 38.06
chinese_word 16,587 7,043 2.26
chinese_example 16,570 16,398 12.21
turkish_word 16,587 6,767 7.28
turkish_example 16,570 16,408 37.78

Sample Entries

Entry 1

  • Word: abandoned
  • Type: Adj
  • English: This house has been abandoned for last ten years.
  • Kashmiri: ترٛاونہٕ آمُت
  • Kashmiri Example: یہِ مکان چُھ پٔتۍ میو دَہو ؤریو پیٚٹھٕ ترٛاونہٕ آمُت۔
  • Urdu: لاوارث
  • Urdu Example: یہ گھر پچھلے دس سالوں سے لاوارث پڑا ہے۔
  • Chinese: 弃
  • Chinese Example: 这所房子已被废弃十年了。
  • Turkish: terk edilmiş
  • Turkish Example: Bu ev son on yıldır terk edilmiş durumda.

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Writing Systems

  • Latin script (English, Turkish)
  • Arabic script (Urdu, Kashmiri)
  • Chinese characters (Chinese)

Potential Applications

1. Language Learning

  • Vocabulary acquisition
  • Example sentence study
  • Cross-lingual comparison

2. Natural Language Processing

  • Machine translation
  • Cross-lingual information retrieval
  • Multilingual text generation

3. Linguistic Research

  • Comparative linguistics
  • Translation studies
  • Language typology

Data Quality Insights

  • Overall high completeness across languages (>95%)
  • Rich example sentences available for most entries
  • Structured format suitable for computational processing
  • Consistent encoding (UTF-8) for multilingual support

Contributing Guidelines

  1. Maintain the existing structure
  2. Ensure accurate translations
  3. Provide example sentences
  4. Follow the quality standards

Technical Notes

  • The dataset is provided in CSV format
  • Last Modified: 2024-11-16 16:53:10
  • Requires UTF-8 support for proper character rendering
  • Recommended to use pandas or similar libraries for processing

Citation :

If you use this dataset in your project or research please cite as :

@misc{kashmiri_dict_Dataset_2024,
  title        = {kashmiri Multilingual Dictionary Dataset},
  author       = {[HAQ NAWAZ MALIK]},
  year         = {2024},
  url          = {[https://huggingface.co/datasets/Omarrran/kashmiri_multilingual_dictionary_dataset
}
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