README.md

---
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
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  - name: text
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  - name: role
    dtype: string
  - name: lang
    dtype: string
  - name: review_count
    dtype: int32
  - name: review_result
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  - name: deleted
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  - name: rank
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  - name: synthetic
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  - name: model_name
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  - name: detoxify
    struct:
    - name: toxicity
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    - name: severe_toxicity
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    - name: obscene
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    - name: identity_attack
      dtype: float64
    - name: insult
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    - name: threat
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    - name: sexual_explicit
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  - 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
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- nl
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- zh
- eo
- ja
- ca
- cs
- bg
- fi
- pt
- tr
- ro
- ar
- uk
- gl
- fr
- ko
tags:
- human-feedback
size_categories:
- 10K<n<100K
pretty_name: OpenAssistant Conversations
---

# OpenAssistant Conversations Dataset (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.

Please refer to our paper for further details.

### Dataset Structure

This dataset contains demonstrations of human-assistant conversations which were collected
on the [open-assistant.io](https://www.open-assistant.io/) website until April, 12 2023.

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

Please refer to [oasst-data](https://github.com/LAION-AI/Open-Assistant/tree/main/oasst-data) for
details about the data structure and python code to read and write jsonl files containing oasst objects.


## Main Dataset Files

Data is provided either as nested messages in conversation trees (extension `.trees.jsonl.gz`) 
or as flat list of messages (extension `.messages.jsonl.gz`).

Full conversation trees can be reconstructed from flat messages using the `parent_id` 
and `message_id` properties to identify their parent-child relationship. The `message_tree_id` 
and `tree_state` properties (only present in flat messages files) can be used to find all
all messages of a message tree or to select trees by their state.

### Ready For Export Trees

```
2023-04-12_oasst_ready.trees.jsonl.gz       10364 trees with 88838 total messages
2023-04-12_oasst_ready.messages.jsonl.gz    88838 messages
```
Trees in `ready_for_export` state without spam and deleted messages including message labels.
The oasst_ready-trees file is normally sufficient for supervised fine-tuning (SFT) & reward model (RM) training.


### All Trees

```
2023-04-12_oasst_all.trees.jsonl.gz         66497 trees with 161443 total messages
2023-04-12_oasst_all.messages.jsonl.gz     161443 messages
```
All trees including those in states `prompt_lottery_waiting`, `aborted_low_grade`, `halted_by_moderator`.


### Supplemental Exports: Spam & Prompts

```
2023-04-12_oasst_spam.messages.jsonl.gz
```
Messages which were deleted or have a negative review result (`"review_result": false`).
Beside low quality a frequent reason for message deletion is a wrong language tag.


```
2023-04-12_oasst_prompts.messages.jsonl.gz
```
All non-deleted initial prompt messages with positile spam review result of trees in `ready_for_export` or `prompt_lottery_waiting` state.


### 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

<details>
  <summary><b>Languages with under 1000 messages</b></summary>
  <ul>
    <li>Vietnamese: 952</li>
    <li>Basque: 947</li>
    <li>Polish: 886</li>
    <li>Hungarian: 811</li>
    <li>Arabic: 666</li>
    <li>Dutch: 628</li>
    <li>Swedish: 512</li>
    <li>Turkish: 454</li>
    <li>Finnish: 386</li>
    <li>Czech: 372</li>
    <li>Danish: 358</li>
    <li>Galician: 339</li>
    <li>Hebrew: 255</li>
    <li>Romanian: 200</li>
    <li>Norwegian Bokmål: 133</li>
    <li>Indonesian: 115</li>
    <li>Bulgarian: 95</li>
    <li>Bengali: 82</li>
    <li>Persian: 72</li>
    <li>Greek: 66</li>
    <li>Esperanto: 59</li>
    <li>Slovak: 19</li>
  </ul>
</details>