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

Dataset Card for OASST1

Dataset Description

Homepage: https://www.open-assistant.io/
Repository: https://github.com/LAION-AI/Open-Assistant
Paper: TBA

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.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

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Contributions

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