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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

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 message trees which contain conversation messages as nodes. The root node of a message tree is called the initial prompt. Each message node can have multiple replies. Nodes with more than one reply can have a rank field indicating the order among the siblings sorted by 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 message tree are stricly alternating between "assistant" and "prompter".

Main Dataset Files

Data is provided either as nested as a message tree or as flat list (table) of messages. Names of files containing message trees end in .trees.jsonl.gz while files containing a list of messages with a file name ending in .messages.jsonl.gz.

Mesages

2023-04-12_oasst_ready.trees.jsonl.gz       10364 trees with 88838 total messages
2023-04-12_oasst_ready.messages.jsonl.gz    88838 messages
2023-04-12_oasst_all.trees.jsonl.gz         66497 trees with 161443 total messages
2023-04-12_oasst_all.messages.jsonl.gz     161443 messages

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