Update README.md

README.md

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----
-license: apache-2.0
-dataset_info:
-  features:
-  - name: text
-    dtype: string
-  splits:
-  - name: validation
-    num_bytes: 642375
-    num_examples: 535
-  - name: train
-    num_bytes: 15585375
-    num_examples: 12703
-  download_size: 7315916
-  dataset_size: 16227750
-configs:
-- config_name: default
-  data_files:
-  - split: validation
-    path: data/validation-*
-  - split: train
-    path: data/train-*
----
+---
+license: apache-2.0
+dataset_info:
+  features:
+  - name: text
+    dtype: string
+  splits:
+  - name: validation
+    num_bytes: 642375
+    num_examples: 535
+  - name: train
+    num_bytes: 15585375
+    num_examples: 12703
+  download_size: 7315916
+  dataset_size: 16227750
+configs:
+- config_name: default
+  data_files:
+  - split: validation
+    path: data/validation-*
+  - split: train
+    path: data/train-*
+---
+
+# Open Assistant Conversations Dataset Release 2 (OASST2) in Uzbek language
+
+This dataset is an Uzbek translated version of [OASST2](https://huggingface.co/datasets/OpenAssistant/oasst2) dataset in a thread format with Llama3 chat template.
+
+Refer to this [translated version](https://huggingface.co/datasets/MLDataScientist/oasst2_uzbek) if you need the original tree format. Otherwise, use this thread format for fine-tuning Llama3 models.
+
+---
+
+The Uzbek translation was completed in 45 hours using a single T4 GPU and [nllb-200-3.3B](https://huggingface.co/facebook/nllb-200-3.3B) model.
+
+Based on nllb metrics, you might want to only filter out records that were not originally in English or Russian since English-Uzbek and Russian-Uzbek have acceptable metrics and translation quality is noticeable better for those pairs based on my short reviews.
+
+I am sharing the entire Uzbek translated dataset for future research.
+
+The following repo and command was used to do the Uzbek translation.
+
+Repo: https://github.com/UnderstandLingBV/LLaMa2lang
+
+Command used:
+
+```!python3 translate.py nllb --model_size 3.3B uzn_Latn output_uzbek --quant8  --base_dataset OpenAssistant/oasst2 --max_length 512 --checkpoint_n 400 --batch_size 40```
+
+I will fine-tune LLAMA3 8B Uzbek chat model and release in HF soon.