task_categories:question-answering language:jv size_categories:100K<n<1M format:parquet modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
---
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)](https://huggingface.co/datasets/OpenAssistant/oasst1) dataset into Javanese using Meta's [No Language Left Behind (NLLB)](https://ai.meta.com/research/no-language-left-behind/) 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.