README.md

metadata

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: int32
    - name: review_result
      dtype: bool
    - name: deleted
      dtype: bool
    - name: rank
      dtype: int32
    - name: synthetic
      dtype: bool
    - name: model_name
      dtype: string
    - name: detoxify
      struct:
        - name: toxicity
          dtype: float64
        - name: severe_toxicity
          dtype: float64
        - name: obscene
          dtype: float64
        - name: identity_attack
          dtype: float64
        - name: insult
          dtype: float64
        - name: threat
          dtype: float64
        - name: sexual_explicit
          dtype: float64
    - name: message_tree_id
      dtype: string
    - name: tree_state
      dtype: string
    - name: emojis
      sequence:
        - name: name
          dtype: string
        - name: count
          dtype: int32
    - name: labels
      sequence:
        - name: name
          dtype: string
        - name: value
          dtype: float64
        - name: count
          dtype: int32
  splits:
    - name: train
      num_bytes: 100367999
      num_examples: 84437
    - name: validation
      num_bytes: 5243405
      num_examples: 4401
  download_size: 41596430
  dataset_size: 105611404
language:
  - en
  - es
  - ru
  - de
  - pl
  - th
  - vi
  - sv
  - bn
  - da
  - he
  - it
  - fa
  - sk
  - id
  - nb
  - el
  - nl
  - hu
  - eu
  - zh
  - eo
  - ja
  - ca
  - cs
  - bg
  - fi
  - pt
  - tr
  - ro
  - ar
  - uk
  - gl
  - fr
  - ko
tags:
  - human-feedback
size_categories:
  - 10K<n<100K

OpenAssistant Conversations Dataset (OASST1)

Dataset Description

• Homepage: https://www.open-assistant.io/
• Repository: https://github.com/LAION-AI/Open-Assistant
• Paper: TBA on April 17, 2023

Dataset Summary

In an effort to democratize research on large-scale alignment, we release OpenAssistant Conversations (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages distributed across 66,497 conversation trees, in 35 different languages, annotated with 461,292 quality ratings. The corpus is a product of a worldwide crowd-sourcing effort involving over 13,500 volunteers.

Dataset Structure

This dataset contains demonstrations of human-assistant conversations which were collected on the open-assistant.io website until April, 12 2023.

Conversations are exported as conversation trees with messages as nodes. The root node of a conversation tree is called the initial prompt. Each message can have multiple replies. Nodes with more than one reply can have a rank field indicating the user preference (the most preferred message has rank 0).

All messages have a role which can either be "assistant" or "prompter". The roles in conversation threads from prompt to leaf node in a conversation tree are stricly alternating between "assistant" and "prompter".

Please refer to oasst-data for details about the data structure and python code to load and write conversation tree and message jsonl files.

Main Dataset Files

Data is provided either as nested messages in conversation trees or as flat list of messages.

The type of file can be inferred from the file name extension:

• .trees.jsonl.gz: Conversation trees with nested messages
• .messages.jsonl.gz: Flat list of messages

Full conversation trees can be reconstructed from a flat messages using the parent_id and message_id properties to identify the parent-child relationship of messages. To select all messages of a single conversation tree message_tree_id can be used (only present in flat messages files).

Ready For Export Trees

This set of exported trees contains all trees in ready_for_export state without spam and deleted messages. For supervised fine-tuning & reward model training this file is ideal.

2023-04-12_oasst_ready.trees.jsonl.gz       10364 trees with 88838 total messages
2023-04-12_oasst_ready.messages.jsonl.gz    88838 messages

All Trees

2023-04-12_oasst_all.trees.jsonl.gz         66497 trees with 161443 total messages
2023-04-12_oasst_all.messages.jsonl.gz     161443 messages

Supplemental Exports: Spam & Prompts

Languages

OpenAssistant Conversations incorporates 35 different languages with a distribution of messages as follows:

Languages with over 1000 messages

• English: 71956
• Spanish: 43061
• Russian: 9089
• German: 5279
• Chinese: 4962
• French: 4251
• Thai: 3042
• Portuguese (Brazil): 2969
• Catalan: 2260
• Korean: 1553
• Ukrainian: 1352
• Italian: 1320
• Japanese: 1018

Languages with under 1000 messages

• Vietnamese: 952
• Basque: 947
• Polish: 886
• Hungarian: 811
• Arabic: 666
• Dutch: 628
• Swedish: 512
• Turkish: 454
• Finnish: 386
• Czech: 372
• Danish: 358
• Galician: 339
• Hebrew: 255
• Romanian: 200
• Norwegian Bokmål: 133
• Indonesian: 115
• Bulgarian: 95
• Bengali: 82
• Persian: 72
• Greek: 66
• Esperanto: 59
• Slovak: 19