Update README.md

README.md

@@ -1,4 +1,25 @@
 ---
+language:
+- kbd
+- deu
+- eng
+- fra
+- por
+- rus
+- spa
+- tur
+license: cc-by-2.0
+task_categories:
+- translation
+pretty_name: Filtered Multilingual-to-Kabardian Tatoeba Translations Dataset
+size_categories:
+- 1M<n<10M
+tags:
+- translation
+- multilingual
+- parallel-corpus
+- kabardian
+- low-resource
 dataset_info:
   features:
   - name: source
@@ -23,3 +44,137 @@ configs:
   - split: train
     path: data/train-*
 ---
+
+
+# Tatoeba Kabardian Filtered Dataset
+
+## Dataset Description
+
+This dataset is a filtered version of the [Multilingual-to-Kabardian Tatoeba Translations Dataset](https://huggingface.co/datasets/panagoa/tatoeba_kbd), containing higher-quality parallel sentence translations to Kabardian language (kbd). The dataset has been further filtered to ensure greater translation accuracy and consistency.
+
+The source languages are:
+
+| Language Code | Language Name | Number of Examples |
+|---------------|---------------|-------------------|
+| eng_Latn      | English       | 468,894           |
+| rus_Cyrl      | Russian       | 284,256           |
+| fra_Latn      | French        | 177,888           |
+| deu_Latn      | German        | 165,468           |
+| por_Latn      | Portuguese    | 121,100           |
+| spa_Latn      | Spanish       | 107,046           |
+| tur_Latn      | Turkish       | 86,247            |
+
+### Dataset Summary
+
+The dataset consists of high-quality parallel translations from multiple languages to Kabardian, containing approximately 1.4M examples. This filtered version applies stricter quality controls compared to the original dataset, making it particularly valuable for tasks requiring high-precision translations. It serves as an important resource for low-resource language translation research and applications involving the Kabardian language.
+
+### Languages
+
+Source languages:
+- German (deu_Latn)
+- English (eng_Latn)
+- French (fra_Latn)
+- Portuguese (por_Latn)
+- Russian (rus_Cyrl)
+- Spanish (spa_Latn)
+- Turkish (tur_Latn)
+
+Target language:
+- Kabardian (kbd_Cyrl)
+
+## Dataset Structure
+
+### Data Instances
+
+Example of a data instance:
+
+```python
+{
+  "source": "He's always happy.",
+  "source_lang": "eng_Latn",
+  "target": "Ар сыт щыгъуи насыпыфIэщ.",
+  "target_lang": "kbd_Cyrl",
+  "model_v_count": 1
+}
+```
+
+### Data Fields
+
+- `source`: Original text in source language
+- `source_lang`: Language code of the source text (with script identifier, e.g., "eng_Latn")
+- `target`: Translated text in Kabardian
+- `target_lang`: Language code for Kabardian (kbd_Cyrl)
+- `model_v_count`: Count of model versions that produced this translation (serves as a consensus metric)
+
+## Dataset Creation
+
+### Source Data
+
+The source data comes from [Tatoeba](https://tatoeba.org/), a free collaborative online database of example sentences, with translations processed through various versions of NLLB-200 models.
+
+#### Initial Data Collection and Normalization
+
+1. Sentences were extracted from Tatoeba's database
+2. Filtered by language pairs
+3. Translated using various versions of NLLB-200-kbd model
+4. Translation quality was assessed using [panagoa/LaBSE-kbd-v0.1](https://huggingface.co/panagoa/LaBSE-kbd-v0.1) model
+5. Additional filtering was applied to this dataset to ensure higher quality translations
+
+### Annotations
+
+The translations were generated using different versions of NLLB-200-kbd model. This filtered dataset represents translations that met more stringent quality criteria than the original dataset.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+This dataset contributes to the linguistic resources available for the Kabardian language, which is considered a low-resource language in NLP. It can help in developing machine translation systems and other language technologies for Kabardian speakers, potentially contributing to language preservation and accessibility.
+
+### Discussion of Biases
+
+As with many translation datasets, there may be biases in the sentence selection and translation. Users should be aware that:
+- The dataset may not represent the full diversity of contexts, dialects, and expressions in Kabardian language
+- Machine-translated content may contain systemic biases present in the original translation models
+- The filtering process, while improving quality, may introduce selection biases
+
+## Additional Information
+
+### Dataset Curators
+
+This dataset was curated by [panagoa] as a refined version of the original Tatoeba Kabardian dataset.
+
+### Licensing Information
+
+This dataset is licensed under [Creative Commons Attribution 2.0](https://creativecommons.org/licenses/by/2.0/).
+
+### Citation Information
+
+```bibtex
+@misc{tatoeba_kbd_filtered_2025,
+    title={Filtered Multilingual-to-Kabardian Tatoeba Translations Dataset},
+    author={Adam Panagov},
+    year={2025},
+    publisher={Hugging Face},
+    howpublished={\url{https://huggingface.co/datasets/panagoa/tatoeba_kbd_filtered}}
+}
+```
+
+### Contributions
+
+Thanks to [@Tatoeba](https://tatoeba.org/) for providing the source data and to the Kabardian language community.
+
+## Usage Examples
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("panagoa/tatoeba_kbd_filtered")
+
+# Example usage
+for example in dataset['train'].select(range(5)):
+    print(f"Source ({example['source_lang']}): {example['source']}")
+    print(f"Target ({example['target_lang']}): {example['target']}")
+    print(f"Model version count: {example['model_v_count']}")
+    print("---")
+```