Update README.md

README.md

@@ -1,317 +1,395 @@
----
-configs:
-- config_name: all
-  data_files:
-  - path:
-    - all.txt.zst
-    split: train
-  default: true
-- config_name: ar
-  data_files:
-  - path:
-    - ar.txt.zst
-    split: train
-- config_name: az
-  data_files:
-  - path:
-    - az.txt.zst
-    split: train
-- config_name: bg
-  data_files:
-  - path:
-    - bg.txt.zst
-    split: train
-- config_name: bn
-  data_files:
-  - path:
-    - bn.txt.zst
-    split: train
-- config_name: ca
-  data_files:
-  - path:
-    - ca.txt.zst
-    split: train
-- config_name: cs
-  data_files:
-  - path:
-    - cs.txt.zst
-    split: train
-- config_name: da
-  data_files:
-  - path:
-    - da.txt.zst
-    split: train
-- config_name: de
-  data_files:
-  - path:
-    - de.txt.zst
-    split: train
-- config_name: el
-  data_files:
-  - path:
-    - el.txt.zst
-    split: train
-- config_name: en
-  data_files:
-  - path:
-    - en.txt.zst
-    split: train
-- config_name: es
-  data_files:
-  - path:
-    - es.txt.zst
-    split: train
-- config_name: et
-  data_files:
-  - path:
-    - et.txt.zst
-    split: train
-- config_name: fa
-  data_files:
-  - path:
-    - fa.txt.zst
-    split: train
-- config_name: fi
-  data_files:
-  - path:
-    - fi.txt.zst
-    split: train
-- config_name: fr
-  data_files:
-  - path:
-    - fr.txt.zst
-    split: train
-- config_name: he
-  data_files:
-  - path:
-    - he.txt.zst
-    split: train
-- config_name: hi
-  data_files:
-  - path:
-    - hi.txt.zst
-    split: train
-- config_name: hu
-  data_files:
-  - path:
-    - hu.txt.zst
-    split: train
-- config_name: hy
-  data_files:
-  - path:
-    - hy.txt.zst
-    split: train
-- config_name: id
-  data_files:
-  - path:
-    - id.txt.zst
-    split: train
-- config_name: is
-  data_files:
-  - path:
-    - is.txt.zst
-    split: train
-- config_name: it
-  data_files:
-  - path:
-    - it.txt.zst
-    split: train
-- config_name: ja
-  data_files:
-  - path:
-    - ja.txt.zst
-    split: train
-- config_name: ka
-  data_files:
-  - path:
-    - ka.txt.zst
-    split: train
-- config_name: kk
-  data_files:
-  - path:
-    - kk.txt.zst
-    split: train
-- config_name: ko
-  data_files:
-  - path:
-    - ko.txt.zst
-    split: train
-- config_name: lt
-  data_files:
-  - path:
-    - lt.txt.zst
-    split: train
-- config_name: lv
-  data_files:
-  - path:
-    - lv.txt.zst
-    split: train
-- config_name: mk
-  data_files:
-  - path:
-    - mk.txt.zst
-    split: train
-- config_name: ml
-  data_files:
-  - path:
-    - ml.txt.zst
-    split: train
-- config_name: mr
-  data_files:
-  - path:
-    - mr.txt.zst
-    split: train
-- config_name: ne
-  data_files:
-  - path:
-    - ne.txt.zst
-    split: train
-- config_name: nl
-  data_files:
-  - path:
-    - nl.txt.zst
-    split: train
-- config_name: 'no'
-  data_files:
-  - path:
-    - no.txt.zst
-    split: train
-- config_name: pl
-  data_files:
-  - path:
-    - pl.txt.zst
-    split: train
-- config_name: pt
-  data_files:
-  - path:
-    - pt.txt.zst
-    split: train
-- config_name: ro
-  data_files:
-  - path:
-    - ro.txt.zst
-    split: train
-- config_name: ru
-  data_files:
-  - path:
-    - ru.txt.zst
-    split: train
-- config_name: sk
-  data_files:
-  - path:
-    - sk.txt.zst
-    split: train
-- config_name: sl
-  data_files:
-  - path:
-    - sl.txt.zst
-    split: train
-- config_name: sq
-  data_files:
-  - path:
-    - sq.txt.zst
-    split: train
-- config_name: sr
-  data_files:
-  - path:
-    - sr.txt.zst
-    split: train
-- config_name: sv
-  data_files:
-  - path:
-    - sv.txt.zst
-    split: train
-- config_name: ta
-  data_files:
-  - path:
-    - ta.txt.zst
-    split: train
-- config_name: th
-  data_files:
-  - path:
-    - th.txt.zst
-    split: train
-- config_name: tr
-  data_files:
-  - path:
-    - tr.txt.zst
-    split: train
-- config_name: uk
-  data_files:
-  - path:
-    - uk.txt.zst
-    split: train
-- config_name: ur
-  data_files:
-  - path:
-    - ur.txt.zst
-    split: train
-- config_name: vi
-  data_files:
-  - path:
-    - vi.txt.zst
-    split: train
-- config_name: zh
-  data_files:
-  - path:
-    - zh.txt.zst
-    split: train
-language:
-- multilingual
-- ar
-- az
-- bg
-- bn
-- ca
-- cs
-- da
-- de
-- el
-- en
-- es
-- et
-- fa
-- fi
-- fr
-- he
-- hi
-- hu
-- hy
-- id
-- is
-- it
-- ja
-- ka
-- kk
-- ko
-- lt
-- lv
-- mk
-- ml
-- mr
-- ne
-- nl
-- 'no'
-- pl
-- pt
-- ro
-- ru
-- sk
-- sl
-- sq
-- sr
-- sv
-- ta
-- th
-- tr
-- uk
-- ur
-- vi
-- zh
-task_categories:
-- text-generation
-- text-classification
-- text-retrieval
-size_categories:
-- 1M<n<10M
----
+---
+configs:
+- config_name: all
+  data_files:
+  - path:
+    - all.txt.zst
+    split: train
+  default: true
+- config_name: ar
+  data_files:
+  - path:
+    - ar.txt.zst
+    split: train
+- config_name: az
+  data_files:
+  - path:
+    - az.txt.zst
+    split: train
+- config_name: bg
+  data_files:
+  - path:
+    - bg.txt.zst
+    split: train
+- config_name: bn
+  data_files:
+  - path:
+    - bn.txt.zst
+    split: train
+- config_name: ca
+  data_files:
+  - path:
+    - ca.txt.zst
+    split: train
+- config_name: cs
+  data_files:
+  - path:
+    - cs.txt.zst
+    split: train
+- config_name: da
+  data_files:
+  - path:
+    - da.txt.zst
+    split: train
+- config_name: de
+  data_files:
+  - path:
+    - de.txt.zst
+    split: train
+- config_name: el
+  data_files:
+  - path:
+    - el.txt.zst
+    split: train
+- config_name: en
+  data_files:
+  - path:
+    - en.txt.zst
+    split: train
+- config_name: es
+  data_files:
+  - path:
+    - es.txt.zst
+    split: train
+- config_name: et
+  data_files:
+  - path:
+    - et.txt.zst
+    split: train
+- config_name: fa
+  data_files:
+  - path:
+    - fa.txt.zst
+    split: train
+- config_name: fi
+  data_files:
+  - path:
+    - fi.txt.zst
+    split: train
+- config_name: fr
+  data_files:
+  - path:
+    - fr.txt.zst
+    split: train
+- config_name: he
+  data_files:
+  - path:
+    - he.txt.zst
+    split: train
+- config_name: hi
+  data_files:
+  - path:
+    - hi.txt.zst
+    split: train
+- config_name: hu
+  data_files:
+  - path:
+    - hu.txt.zst
+    split: train
+- config_name: hy
+  data_files:
+  - path:
+    - hy.txt.zst
+    split: train
+- config_name: id
+  data_files:
+  - path:
+    - id.txt.zst
+    split: train
+- config_name: is
+  data_files:
+  - path:
+    - is.txt.zst
+    split: train
+- config_name: it
+  data_files:
+  - path:
+    - it.txt.zst
+    split: train
+- config_name: ja
+  data_files:
+  - path:
+    - ja.txt.zst
+    split: train
+- config_name: ka
+  data_files:
+  - path:
+    - ka.txt.zst
+    split: train
+- config_name: kk
+  data_files:
+  - path:
+    - kk.txt.zst
+    split: train
+- config_name: ko
+  data_files:
+  - path:
+    - ko.txt.zst
+    split: train
+- config_name: lt
+  data_files:
+  - path:
+    - lt.txt.zst
+    split: train
+- config_name: lv
+  data_files:
+  - path:
+    - lv.txt.zst
+    split: train
+- config_name: mk
+  data_files:
+  - path:
+    - mk.txt.zst
+    split: train
+- config_name: ml
+  data_files:
+  - path:
+    - ml.txt.zst
+    split: train
+- config_name: mr
+  data_files:
+  - path:
+    - mr.txt.zst
+    split: train
+- config_name: ne
+  data_files:
+  - path:
+    - ne.txt.zst
+    split: train
+- config_name: nl
+  data_files:
+  - path:
+    - nl.txt.zst
+    split: train
+- config_name: 'no'
+  data_files:
+  - path:
+    - no.txt.zst
+    split: train
+- config_name: pl
+  data_files:
+  - path:
+    - pl.txt.zst
+    split: train
+- config_name: pt
+  data_files:
+  - path:
+    - pt.txt.zst
+    split: train
+- config_name: ro
+  data_files:
+  - path:
+    - ro.txt.zst
+    split: train
+- config_name: ru
+  data_files:
+  - path:
+    - ru.txt.zst
+    split: train
+- config_name: sk
+  data_files:
+  - path:
+    - sk.txt.zst
+    split: train
+- config_name: sl
+  data_files:
+  - path:
+    - sl.txt.zst
+    split: train
+- config_name: sq
+  data_files:
+  - path:
+    - sq.txt.zst
+    split: train
+- config_name: sr
+  data_files:
+  - path:
+    - sr.txt.zst
+    split: train
+- config_name: sv
+  data_files:
+  - path:
+    - sv.txt.zst
+    split: train
+- config_name: ta
+  data_files:
+  - path:
+    - ta.txt.zst
+    split: train
+- config_name: th
+  data_files:
+  - path:
+    - th.txt.zst
+    split: train
+- config_name: tr
+  data_files:
+  - path:
+    - tr.txt.zst
+    split: train
+- config_name: uk
+  data_files:
+  - path:
+    - uk.txt.zst
+    split: train
+- config_name: ur
+  data_files:
+  - path:
+    - ur.txt.zst
+    split: train
+- config_name: vi
+  data_files:
+  - path:
+    - vi.txt.zst
+    split: train
+- config_name: zh
+  data_files:
+  - path:
+    - zh.txt.zst
+    split: train
+language:
+- multilingual
+- ar
+- az
+- bg
+- bn
+- ca
+- cs
+- da
+- de
+- el
+- en
+- es
+- et
+- fa
+- fi
+- fr
+- he
+- hi
+- hu
+- hy
+- id
+- is
+- it
+- ja
+- ka
+- kk
+- ko
+- lt
+- lv
+- mk
+- ml
+- mr
+- ne
+- nl
+- 'no'
+- pl
+- pt
+- ro
+- ru
+- sk
+- sl
+- sq
+- sr
+- sv
+- ta
+- th
+- tr
+- uk
+- ur
+- vi
+- zh
+task_categories:
+- text-generation
+- text-classification
+- text-retrieval
+size_categories:
+- 1M<n<10M
+---
+# Multilingual Sentences
+
+Dataset contains sentences from 50 languages, grouped by their two-letter ISO 639-1 codes. The "all" configuration includes sentences from all languages.
+
+## Dataset Overview
+
+Multilingual Sentence Dataset is a comprehensive collection of high-quality, linguistically diverse sentences. Dataset is designed to support a wide range of natural language processing tasks, including but not limited to language modeling, machine translation, and cross-lingual studies.
+
+## Methods
+
+Rigorous methodology consisted of three main stages: text preprocessing, language detection, and dataset processing.
+
+### Text Preprocessing
+
+Sophisticated text cleaning pipeline using the textacy library, which included:
+
+- Removal of HTML tags, email addresses, URLs, and emojis
+- Unicode and whitespace normalization
+- Standardization of punctuation and word formats
+
+### Language Detection
+
+Google CLD3 library utilized for accurate language identification:
+
+- Implemented NNetLanguageIdentifier
+- Configured for processing texts between 0-1000 bytes
+- Included reliability assessment for each language detection
+
+### Dataset Processing
+
+Workflow for dataset creation involved the following steps:
+
+1. Streamed loading of the LinguaNova multilingual dataset
+2. Application of the text preprocessing pipeline
+3. Sentence segmentation using PyICU for accurate boundary detection
+4. Quality filtering:
+   - Length constraint (maximum 2048 characters per sentence)
+   - High-reliability language verification
+5. Extraction of unique sentences
+6. Random shuffling for unbiased sampling
+7. Generation of language-specific files
+
+## Technical Details
+
+### Libraries and Tools
+
+- textacy: Advanced text preprocessing
+- Google CLD3: State-of-the-art language detection
+- Hugging Face datasets: Efficient data handling and processing
+- SentenceBreaker: Accurate sentence segmentation
+
+### Implementation Notes
+
+- Process was executed consistently across all 50 languages to ensure uniformity and high quality in the multilingual dataset preparation.
+- Special attention was given to maintaining the integrity of each language's unique characteristics throughout the processing pipeline.
+
+## Data Splits
+
+Dataset is organized into the following splits:
+
+- Individual language files: Contains sentences for each of the 50 languages
+- "all" configuration: Aggregates sentences from all languages into a single dataset
+
+## Limitations and Biases
+
+While extensive efforts were made to ensure dataset quality, users should be aware of potential limitations:
+
+- Language detection accuracy may vary for very short texts or closely related languages
+- Dataset may not fully represent all dialects or regional variations within each language
+- Potential biases in the original LinguaNova dataset could be carried over
+
+## Ethical Considerations
+
+Users of this dataset should be mindful of:
+
+- Potential biases in language representation
+- Need for responsible use in AI applications, especially in multilingual contexts
+- Privacy considerations, although personal identifiable information should have been removed