Update README.md

README.md

@@ -1,81 +1,111 @@
----
-license: apache-2.0
-dataset_info:
-  features:
-  - name: message_id
-    dtype: string
-  - name: parent_id
-    dtype: string
-  - name: user_id
-    dtype: string
-  - name: created_date
-    dtype: string
-  - name: text
-    dtype: string
-  - name: role
-    dtype: string
-  - name: lang
-    dtype: string
-  - name: review_count
-    dtype: int64
-  - name: review_result
-    dtype: bool
-  - name: deleted
-    dtype: bool
-  - name: rank
-    dtype: float64
-  - name: synthetic
-    dtype: bool
-  - name: model_name
-    dtype: 'null'
-  - name: detoxify
-    struct:
-    - name: identity_attack
-      dtype: float64
-    - name: insult
-      dtype: float64
-    - name: obscene
-      dtype: float64
-    - name: severe_toxicity
-      dtype: float64
-    - name: sexual_explicit
-      dtype: float64
-    - name: threat
-      dtype: float64
-    - name: toxicity
-      dtype: float64
-  - name: message_tree_id
-    dtype: string
-  - name: tree_state
-    dtype: string
-  - name: emojis
-    struct:
-    - name: count
-      sequence: int64
-    - name: name
-      sequence: string
-  - name: labels
-    struct:
-    - name: count
-      sequence: int64
-    - name: name
-      sequence: string
-    - name: value
-      sequence: float64
-  splits:
-  - name: validation
-    num_bytes: 4906319
-    num_examples: 4759
-  - name: train
-    num_bytes: 128119829
-    num_examples: 124615
-  download_size: 43465316
-  dataset_size: 133026148
-configs:
-- config_name: default
-  data_files:
-  - split: validation
-    path: data/validation-*
-  - split: train
-    path: data/train-*
----
+---
+license: apache-2.0
+dataset_info:
+  features:
+  - name: message_id
+    dtype: string
+  - name: parent_id
+    dtype: string
+  - name: user_id
+    dtype: string
+  - name: created_date
+    dtype: string
+  - name: text
+    dtype: string
+  - name: role
+    dtype: string
+  - name: lang
+    dtype: string
+  - name: review_count
+    dtype: int64
+  - name: review_result
+    dtype: bool
+  - name: deleted
+    dtype: bool
+  - name: rank
+    dtype: float64
+  - name: synthetic
+    dtype: bool
+  - name: model_name
+    dtype: 'null'
+  - name: detoxify
+    struct:
+    - name: identity_attack
+      dtype: float64
+    - name: insult
+      dtype: float64
+    - name: obscene
+      dtype: float64
+    - name: severe_toxicity
+      dtype: float64
+    - name: sexual_explicit
+      dtype: float64
+    - name: threat
+      dtype: float64
+    - name: toxicity
+      dtype: float64
+  - name: message_tree_id
+    dtype: string
+  - name: tree_state
+    dtype: string
+  - name: emojis
+    struct:
+    - name: count
+      sequence: int64
+    - name: name
+      sequence: string
+  - name: labels
+    struct:
+    - name: count
+      sequence: int64
+    - name: name
+      sequence: string
+    - name: value
+      sequence: float64
+  splits:
+  - name: validation
+    num_bytes: 4906319
+    num_examples: 4759
+  - name: train
+    num_bytes: 128119829
+    num_examples: 124615
+  download_size: 43465316
+  dataset_size: 133026148
+configs:
+- config_name: default
+  data_files:
+  - split: validation
+    path: data/validation-*
+  - split: train
+    path: data/train-*
+task_categories:
+- question-answering
+- translation
+language:
+- uz
+tags:
+- human-feedback
+pretty_name: Open Assistant Conversations Dataset Release 2 in Uzbek
+size_categories:
+- 100K<n<1M
+---
+
+# 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.
+
+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 higher metrics and translation quality is noticeable better based on my 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.