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---
language:
- uz
license: apache-2.0
size_categories:
- 100K<n<1M
task_categories:
- question-answering
- translation
pretty_name: Open Assistant Conversations Dataset Release 2 in Uzbek
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: 5261768
num_examples: 5123
- name: train
num_bytes: 128642107
num_examples: 125181
download_size: 43601021
dataset_size: 133903875
configs:
- config_name: default
data_files:
- split: validation
path: data/validation-*
- split: train
path: data/train-*
tags:
- human-feedback
---
# 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.
Llama3 chat template + thread formatted dataset based on this translation is also available for model fine-tuning [here](https://huggingface.co/datasets/MLDataScientist/oasst2_uzbek_threads).
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. |