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Update README.md
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README.md
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@@ -134,7 +134,7 @@ of a worldwide crowd-sourcing effort involving over 13,500 volunteers.
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This dataset contains demonstrations of human-assistant conversations which were collected
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on the [open-assistant.io](https://www.open-assistant.io/) website until April, 12 2023.
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Conversations are exported as conversation trees
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The root node of a conversation tree is called the initial prompt. Each message 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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user preference (the most preferred message has rank 0).
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conversation threads from prompt to leaf node in a conversation 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 messages in conversation trees or as flat list of messages.
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- `.trees.jsonl.gz`: Conversation trees with nested messages
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- `.messages.jsonl.gz`: Flat list of messages
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### Ready
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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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### All
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```
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2023-04-12_oasst_all.messages.jsonl.gz 161443 messages
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```
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### Languages
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This dataset contains demonstrations of human-assistant conversations which were collected
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on the [open-assistant.io](https://www.open-assistant.io/) website until April, 12 2023.
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Conversations are exported as conversation trees with messages as nodes.
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The root node of a conversation tree is called the initial prompt. Each message 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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user preference (the most preferred message has rank 0).
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conversation threads from prompt to leaf node in a conversation tree are stricly alternating
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between "assistant" and "prompter".
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Please refer to [oasst-data](https://github.com/LAION-AI/Open-Assistant/tree/main/oasst-data) for
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details about the data structure and python code to load and write conversation tree and message
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jsonl files.
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## Main Dataset Files
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Data is provided either as nested messages in conversation trees or as flat list of messages.
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- `.trees.jsonl.gz`: Conversation trees with nested messages
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- `.messages.jsonl.gz`: Flat list of messages
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Full conversation trees can be reconstructed from a flat messages using the `parent_id`
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and `message_id` properties to identify the parent-child relationship of messages. To
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select all messages of a single conversation tree `message_tree_id` can be used (only present
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in flat messages files).
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### Ready For Export Trees
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This set of exported trees contains all trees in `ready_for_export` state without spam
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and deleted messages. For supervised fine-tuning & reward model training this file is ideal.
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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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### All Trees
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```
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2023-04-12_oasst_all.messages.jsonl.gz 161443 messages
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```
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### Supplemental Exports: Spam & Prompts
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```
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```
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### Languages
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