Datasets:
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README.md
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@@ -129,19 +129,37 @@ corpus consisting of 161,443 messages distributed across 66,497 conversation tre
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35 different languages, annotated with 461,292 quality ratings. The corpus is a product
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of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
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The dataset was exported from the open-assistant.io production database on April, 12 2023.
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### Dataset Structure
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on the open-assistant.io website.
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35 different languages, annotated with 461,292 quality ratings. The corpus is a product
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of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
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### Dataset Structure
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This dataset contains demonstrations of human-assistant conversations which were collected
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on the open-assistant.io website until April, 12 2023.
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Conversations are exported as message trees which contain conversation messages as nodes.
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The root node of a message tree is called the initial prompt. Each message node can have
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multiple replies. Nodes with more than one reply can have a `rank` field indicating the
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order among the siblings sorted by user preference (the most preferred message has rank 0).
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All messages have a role which can either be "assistant" or "prompter". The roles in
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conversation threads from prompt to leaf node in a message tree are stricly alternating
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between "assistant" and "prompter".
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## Main Dataset Files
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Data is provided either as nested as a message tree or as flat list (table) of messages.
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Names of files containing message trees end in `.trees.jsonl.gz` while files containing
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a list of messages with a file name ending in `.messages.jsonl.gz`.
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Mesages
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```
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2023-04-12_oasst_ready.trees.jsonl.gz 10364 trees with 88838 total messages
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2023-04-12_oasst_ready.messages.jsonl.gz 88838 messages
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```
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```
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2023-04-12_oasst_all.trees.jsonl.gz 66497 trees with 161443 total messages
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2023-04-12_oasst_all.messages.jsonl.gz 161443 messages
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```
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