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

Dataset Card for 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.

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

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

[More Information Needed]