Datasets:
metadata
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: train
num_bytes: 108091191
num_examples: 100561
download_size: 36662895
dataset_size: 108091191
task_categories:
- question-answering
language:
- jv
Dataset Summary
We translated the OpenAssistant Conversations (OASST) dataset into Javanese using Meta's No Language Left Behind (NLLB) model.
Why Javanese?
Javanese is spoken by over 90 million people on the island of Java in Indonesia. While its prevalence is comparable to other widely spoken languages, such as Vietnamese and Turkish, its representation in current large language model (LLM) chatbots remains limited. By translating this dataset, we aim to enhance the accessibility and usability of AI technologies for Javanese speakers.