Update README.md

README.md

@@ -104,7 +104,7 @@ Example of a data instance:
 - `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_consensus_count`: Count of model versions that produced this translation (serves as a consensus metric)
+- `model_consensus_count`: Count of model versions that produced this identical translation. Higher values indicate greater consensus among different model versions, serving as a reliability metric for the translation quality
 
 ## Dataset Creation
 
@@ -118,11 +118,11 @@ The source data comes from [Tatoeba](https://tatoeba.org/), a free collaborative
 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
+5. Additional filtering was applied based on a consensus mechanism - only translations that were consistently produced by multiple model versions (tracked in model_consensus_count field) were included in this dataset
 
 ### 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.
+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, particularly focusing on consensus among different model versions.
 
 ## Considerations for Using the Data
 
@@ -175,6 +175,6 @@ dataset = load_dataset("panagoa/tatoeba_kbd_filtered")
 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_consensus_count']}")
+    print(f"Model consensus count: {example['model_consensus_count']}")
     print("---")
-```
+```