Update README.md

README.md

@@ -101,11 +101,11 @@ Each example is a dictionary containing a translation pair:
 
 ### Source Data
 
-The data was collected from publicly available sources, including dictionaries, books, articles, literary works, etc.
+Source texts were collected from publicly available sources, including crowdsourced texts, dictionary entries, folklore texts, lists of proverbs and sayings. The specific sources for each language pair are detailed below.
 
-For literary works, special processing was applied to create high-quality translation pairs:
+For folklore texts, special processing was applied to create high-quality translation pairs:
 - Works without existing Russian translations were translated from scratch into Russian and then split into sentence pairs
-- Works with existing translations were refined by converting "artistic" translations into more precise, literal translations better suited for the machine translation training task.
+- Works with existing Russian translations were refined by converting "artistic" translations into more precise, literal translations better suited for machine translation training
 
 This approach ensured that the parallel text pairs maintain semantic equivalence while being more suitable for training translation models than purely literary translations that might prioritize style over precision.
 
@@ -113,6 +113,7 @@ This approach ensured that the parallel text pairs maintain semantic equivalence
 
 All data was verified for quality either manually or through automated processes. The dataset underwent rigorous cleaning and preprocessing:
 
+- **Translation methodology**: All non-dictionary translations were created from scratch or substantially reworked to ensure semantic accuracy for machine translation training, rather than literary quality.
 - **Quality Verification**: The majority of entries were checked for accuracy and completeness by a native speaker.
 - **Standardization**: All [palochka](https://en.wikipedia.org/wiki/Palochka)-like characters (1, l, I, І, ӏ) were standardized to uppercase palochka (Ӏ).
 - **Script Consistency**: Look-alike Latin letters were converted to their Cyrillic equivalents to maintain script consistency.
@@ -131,6 +132,42 @@ This dataset was created to support the development of machine translation syste
 - While extensive cleaning has been performed, some translation pairs may still contain minor inaccuracies
 - For optimal results in machine translation tasks, models should be trained on each dialect separately
 
+## List of Sources
+
+**Note**: The sources below were used as follows:
+- Dictionaries: Only basic word pairs (lemma + translation) were extracted
+- Folklore and other texts: Used as source material for creating new, original translations
+
+### East Circassian / Kabardian → Russian (`kbd`-`ru`)
+- Апажев М.Л., Коков Дж.Н. **Кабардино-черкесско-русский словарь**. Эльбрус, 2008.
+- Гяургиев Х.З. **Школьный русско-кабардинский словарь**. Нарт, Нальчик, 1991. 320 с.
+- **Фольклорные тексты из Адыгского Нартского эпоса**.
+- **Адыгские пословицы и поговорки**.
+- **Crowdsourced texts with translations**
+
+### Russian → East Circassian / Kabardian (`ru`-`kbd`)
+- Бижоев Б.Ч., Жилетежев Х.Ч., Кумыкова Д.М., Тимижев Х.Т. **Большой русско-кабардино-черкесский словарь** [около 72000 слов и устойчивых выражений]. ИГИ КБНЦ РАН, Нальчик, 2018. 1052 с.
+- Карданов Б.М. (Ред.) **Русско-кабардинско-черкесский словарь** [20000 слов]. Составили: М.Л. Апажев, Н.А. Багов, П.М. Багов, Б.Х. Балкаров, Дж.Н. Коков, Х.Х. Жакамухов, Х.Ш. Урусов. Гос. изд-во иностранных и национальных словарей, Москва, 1957. 576 с.
+- **Crowdsourced texts with translations**
+
+### West Circassian / Adyghe → Russian (`ady`-`ru`)
+- Тхаркахо Ю.А. **Адыгейско-русский словарь**. Краснодарское, Краснодар, 1991. 304 с.
+- **Crowdsourced texts with translations**
+  
+### Russian → West Circassian / Adyghe (`ru`-`ady`)
+- Водождоков Х.Д. (Ред.) **Русско-адыгейский словарь** [31321 словарных статей]. Гос. изд-во иностранных и национальных словарей, Москва, 1960. 1098 с.
+- **Crowdsourced texts with translations**
+  
+
+## Legal Notice and Attribution
+
+This dataset was created in accordance with principles of fair use:
+
+- **Dictionary sources**: Only factual information (word pairs) was extracted from dictionaries listed below. No creative content, example sentences, or explanatory materials from these sources are included in the dataset.
+- **Original translations**: All translations of texts, folklore, proverbs, and sayings are original work created by the dataset author specifically for this machine learning dataset.
+- **Transformative use**: The dataset represents a transformative use of source materials, combining factual linguistic data with substantial original translation work to create a new resource for computational linguistics research.
+
+  
 ## License
 
 This dataset is licensed under the [Creative Commons Attribution 4.0 International (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license. This means you are free to share and adapt the material for any purpose, even commercially, under the following terms: