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
    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:
- 100K<n<1M
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 
aggregated user preference (the most preferred message has rank 0).

All messages have a role property which can either be "assistant" or "prompter". The roles in 
conversation threads from prompt to leaf node are stricly alternating between "prompter" and "assistant".

### JSON Example: Message

For readability the following JSON examples are shown formatted with indentation on multiple lines.
Objects are stored without indentation on a single lines in the actual jsonl files.

```json
{
    "message_id": "218440fd-5317-4355-91dc-d001416df62b",
    "parent_id": "13592dfb-a6f9-4748-a92c-32b34e239bb4",
    "user_id": "8e95461f-5e94-4d8b-a2fb-d4717ce973e4",
    "text": "It was the winter of 2035, and artificial intelligence (..)",
    "role": "assistant",
    "lang": "en",
    "review_count": 3,
    "review_result": true,
    "deleted": false,
    "rank": 0,
    "synthetic": true,
    "model_name": "oasst-sft-0_3000,max_new_tokens=400 (..)",
    "labels": {
        "spam": { "value": 0.0, "count": 3 },
        "lang_mismatch": { "value": 0.0, "count": 3 },
        "pii": { "value": 0.0, "count": 3 },
        "not_appropriate": { "value": 0.0, "count": 3 },
        "hate_speech": { "value": 0.0, "count": 3 },
        "sexual_content": { "value": 0.0, "count": 3 },
        "quality": { "value": 0.416, "count": 3 },
        "toxicity": { "value": 0.16, "count": 3 },
        "humor": { "value": 0.0, "count": 3 },
        "creativity": { "value": 0.33, "count": 3 },
        "violence": { "value": 0.16, "count": 3 }
    }
}
```

### JSON Example: Conversation Tree

For readability only a subset of the message properties is shown here.

```json
{
  "message_tree_id": "14fbb664-a620-45ce-bee4-7c519b16a793",
  "tree_state": "ready_for_export",
  "prompt": {
    "message_id": "14fbb664-a620-45ce-bee4-7c519b16a793",
    "text": "Why can't we divide by 0? (..)",
    "role": "prompter",
    "lang": "en",
    "replies": [
      {
        "message_id": "894d30b6-56b4-4605-a504-89dd15d4d1c8",
        "text": "The reason we cannot divide by zero is because (..)",
        "role": "assistant",
        "lang": "en",
        "replies": [
          // ...
        ]
      },
      {
        "message_id": "84d0913b-0fd9-4508-8ef5-205626a7039d",
        "text": "The reason that the result of a division by zero is (..)",
        "role": "assistant",
        "lang": "en",
        "replies": [
          {
            "message_id": "3352725e-f424-4e3b-a627-b6db831bdbaa",
            "text": "Math is confusing. Like those weird Irrational (..)",
            "role": "prompter",
            "lang": "en",
            "replies": [
              {
                "message_id": "f46207ca-3149-46e9-a466-9163d4ce499c",
                "text": "Irrational numbers are simply numbers (..)",
                "role": "assistant",
                "lang": "en",
                "replies": []
              },
              // ...
            ]
          }
        ]
      }
    ]
  }
}
```

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 data objects.


## Main Dataset Files

Conversation data is provided either as nested messages in trees (extension `.trees.jsonl.gz`) 
or as flat list (table) of messages (extension `.messages.jsonl.gz`).

Full conversation trees can be reconstructed from flat messages by using the `parent_id` 
and `message_id` properties to identify the parent-child relationship of messages. 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       10,364 trees with 88,838 total messages
2023-04-12_oasst_ready.messages.jsonl.gz    88,838 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         66,497 trees with 161,443 total messages
2023-04-12_oasst_all.messages.jsonl.gz     161,443 messages
```
All trees including those in states `prompt_lottery_waiting` (trees that consist of only one message, namely the inital prompt),
`aborted_low_grade` (trees that stopped growing because the messages had low quality), and `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.

### Using the Huggingface Datasets

While HF datasets is ideal for tabular datasets it is not a natuaral fit for nested data structures like the OpenAssistant conversation trees.
Nevertheless we make all messages which can alse be found in the file `2023-04-12_oasst_ready.trees.jsonl.gz` available as parquet train/validation 
split which is directly loadable by the [Huggingface Datasets](https://pypi.org/project/datasets/).

To load the oasst1 train & validation splits use:

```python
from datasets import load_dataset
ds = load_dataset("OpenAssistant/oasst1")
train = ds['train']      # len(train)=84437 (95%)
val = ds['validation']   # len(val)=4401 (5%)
```

The messages appear in depth-first order of the message trees.


### 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>

## Contact

- Discord [Open Assistant Discord Server](https://ykilcher.com/open-assistant-discord)
- GitHub: [LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)
- E-Mail: [open-assistent@laion.ai](mailto:open-assistent@laion.ai) (yes, with e)