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--- |
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license: apache-2.0 |
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dataset_info: |
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features: |
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- name: message_id |
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dtype: string |
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- name: parent_id |
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dtype: string |
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- name: user_id |
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dtype: string |
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- name: created_date |
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dtype: string |
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- name: text |
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dtype: string |
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- name: role |
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dtype: string |
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- name: lang |
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dtype: string |
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- name: review_count |
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dtype: int32 |
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- name: review_result |
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dtype: bool |
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- name: deleted |
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dtype: bool |
|
- name: rank |
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dtype: int32 |
|
- name: synthetic |
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dtype: bool |
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- name: model_name |
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dtype: string |
|
- name: detoxify |
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struct: |
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- name: toxicity |
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dtype: float64 |
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- name: severe_toxicity |
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dtype: float64 |
|
- name: obscene |
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dtype: float64 |
|
- name: identity_attack |
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dtype: float64 |
|
- name: insult |
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dtype: float64 |
|
- name: threat |
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dtype: float64 |
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- name: sexual_explicit |
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dtype: float64 |
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- name: message_tree_id |
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dtype: string |
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- name: tree_state |
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dtype: string |
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- name: emojis |
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sequence: |
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- name: name |
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dtype: string |
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- name: count |
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dtype: int32 |
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- name: labels |
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sequence: |
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- name: name |
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dtype: string |
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- name: value |
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dtype: float64 |
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- name: count |
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dtype: int32 |
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splits: |
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- name: train |
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num_bytes: 100367999 |
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num_examples: 84437 |
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- name: validation |
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num_bytes: 5243405 |
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num_examples: 4401 |
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download_size: 41596430 |
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dataset_size: 105611404 |
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language: |
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- en |
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- es |
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- ru |
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- de |
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- pl |
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- th |
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- vi |
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- sv |
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- bn |
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- da |
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- he |
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- it |
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- fa |
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- sk |
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- id |
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- nb |
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- el |
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- nl |
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- hu |
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- eu |
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- zh |
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- eo |
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- ja |
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- ca |
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- cs |
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- bg |
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- fi |
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- pt |
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- tr |
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- ro |
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- ar |
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- uk |
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- gl |
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- fr |
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- ko |
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tags: |
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- human-feedback |
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size_categories: |
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- 100K<n<1M |
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pretty_name: OpenAssistant Conversations |
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--- |
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|
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# OpenAssistant Conversations Dataset (OASST1) |
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|
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## Dataset Description |
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|
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- **Homepage:** https://www.open-assistant.io/ |
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- **Repository:** https://github.com/LAION-AI/Open-Assistant |
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- **Paper:** https://arxiv.org/abs/2304.07327 |
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|
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### Dataset Summary |
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|
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In an effort to democratize research on large-scale alignment, we release OpenAssistant |
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Conversations (OASST1), a human-generated, human-annotated assistant-style conversation |
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corpus consisting of 161,443 messages in 35 different languages, annotated with 461,292 |
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quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus |
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is a product of a worldwide crowd-sourcing effort involving over 13,500 volunteers. |
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|
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Please refer to our [paper](https://arxiv.org/abs/2304.07327) for further details. |
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|
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### Dataset Structure |
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|
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This dataset contains message trees. Each message tree has an initial prompt message as the root node, |
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which can have multiple child messages as replies, and these child messages can have multiple replies. |
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All messages have a role property: this can either be "assistant" or "prompter". The roles in |
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conversation threads from prompt to leaf node strictly alternate between "prompter" and "assistant". |
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This version of the dataset contains data collected on the [open-assistant.io](https://open-assistant.io/) website until April 12 2023. |
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### JSON Example: Message |
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|
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For readability, the following JSON examples are shown formatted with indentation on multiple lines. |
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Objects are stored without indentation (on single lines) in the actual jsonl files. |
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```json |
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{ |
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"message_id": "218440fd-5317-4355-91dc-d001416df62b", |
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"parent_id": "13592dfb-a6f9-4748-a92c-32b34e239bb4", |
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"user_id": "8e95461f-5e94-4d8b-a2fb-d4717ce973e4", |
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"text": "It was the winter of 2035, and artificial intelligence (..)", |
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"role": "assistant", |
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"lang": "en", |
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"review_count": 3, |
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"review_result": true, |
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"deleted": false, |
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"rank": 0, |
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"synthetic": true, |
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"model_name": "oasst-sft-0_3000,max_new_tokens=400 (..)", |
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"labels": { |
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"spam": { "value": 0.0, "count": 3 }, |
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"lang_mismatch": { "value": 0.0, "count": 3 }, |
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"pii": { "value": 0.0, "count": 3 }, |
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"not_appropriate": { "value": 0.0, "count": 3 }, |
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"hate_speech": { "value": 0.0, "count": 3 }, |
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"sexual_content": { "value": 0.0, "count": 3 }, |
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"quality": { "value": 0.416, "count": 3 }, |
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"toxicity": { "value": 0.16, "count": 3 }, |
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"humor": { "value": 0.0, "count": 3 }, |
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"creativity": { "value": 0.33, "count": 3 }, |
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"violence": { "value": 0.16, "count": 3 } |
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} |
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} |
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``` |
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### JSON Example: Conversation Tree |
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For readability, only a subset of the message properties is shown here. |
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```json |
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{ |
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"message_tree_id": "14fbb664-a620-45ce-bee4-7c519b16a793", |
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"tree_state": "ready_for_export", |
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"prompt": { |
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"message_id": "14fbb664-a620-45ce-bee4-7c519b16a793", |
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"text": "Why can't we divide by 0? (..)", |
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"role": "prompter", |
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"lang": "en", |
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"replies": [ |
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{ |
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"message_id": "894d30b6-56b4-4605-a504-89dd15d4d1c8", |
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"text": "The reason we cannot divide by zero is because (..)", |
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"role": "assistant", |
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"lang": "en", |
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"replies": [ |
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// ... |
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] |
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}, |
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{ |
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"message_id": "84d0913b-0fd9-4508-8ef5-205626a7039d", |
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"text": "The reason that the result of a division by zero is (..)", |
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"role": "assistant", |
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"lang": "en", |
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"replies": [ |
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{ |
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"message_id": "3352725e-f424-4e3b-a627-b6db831bdbaa", |
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"text": "Math is confusing. Like those weird Irrational (..)", |
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"role": "prompter", |
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"lang": "en", |
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"replies": [ |
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{ |
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"message_id": "f46207ca-3149-46e9-a466-9163d4ce499c", |
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"text": "Irrational numbers are simply numbers (..)", |
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"role": "assistant", |
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"lang": "en", |
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"replies": [] |
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}, |
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// ... |
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] |
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} |
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] |
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} |
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] |
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} |
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} |
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``` |
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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 read and write jsonl files containing oasst data objects. |
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If you would like to explore the dataset yourself you can find a |
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[`getting-started`](https://github.com/LAION-AI/Open-Assistant/blob/main/notebooks/openassistant-oasst1/getting-started.ipynb) |
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notebook in the `notebooks/openassistant-oasst1` folder of the [LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant) |
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github repository. |
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|
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## Main Dataset Files |
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|
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Conversation data is provided either as nested messages in trees (extension `.trees.jsonl.gz`) |
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or as a flat list (table) of messages (extension `.messages.jsonl.gz`). |
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### Ready For Export Trees |
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``` |
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2023-04-12_oasst_ready.trees.jsonl.gz 10,364 trees with 88,838 total messages |
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2023-04-12_oasst_ready.messages.jsonl.gz 88,838 messages |
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``` |
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Trees in `ready_for_export` state without spam and deleted messages including message labels. |
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The oasst_ready-trees file usually is sufficient for supervised fine-tuning (SFT) & reward model (RM) training. |
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### All Trees |
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|
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``` |
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2023-04-12_oasst_all.trees.jsonl.gz 66,497 trees with 161,443 total messages |
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2023-04-12_oasst_all.messages.jsonl.gz 161,443 messages |
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``` |
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All trees, including those in states `prompt_lottery_waiting` (trees that consist of only one message, namely the initial prompt), |
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`aborted_low_grade` (trees that stopped growing because the messages had low quality), and `halted_by_moderator`. |
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### Supplemental Exports: Spam & Prompts |
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|
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``` |
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2023-04-12_oasst_spam.messages.jsonl.gz |
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``` |
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These are messages which were deleted or have a negative review result (`"review_result": false`). |
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Besides low quality, a frequent reason for message deletion is a wrong language tag. |
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|
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``` |
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2023-04-12_oasst_prompts.messages.jsonl.gz |
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``` |
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These are all the kept initial prompt messages with positive review result (no spam) of trees in `ready_for_export` or `prompt_lottery_waiting` state. |
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### Using the Huggingface Datasets |
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While HF datasets is ideal for tabular datasets, it is not a natural fit for nested data structures like the OpenAssistant conversation trees. |
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Nevertheless, we make all messages which can also be found in the file `2023-04-12_oasst_ready.trees.jsonl.gz` available in parquet as train/validation splits. |
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These are directly loadable by [Huggingface Datasets](https://pypi.org/project/datasets/). |
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To load the oasst1 train & validation splits use: |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("OpenAssistant/oasst1") |
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train = ds['train'] # len(train)=84437 (95%) |
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val = ds['validation'] # len(val)=4401 (5%) |
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``` |
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The messages appear in depth-first order of the message trees. |
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Full conversation trees can be reconstructed from the flat messages table by using the `parent_id` |
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and `message_id` properties to identify the parent-child relationship of messages. The `message_tree_id` |
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and `tree_state` properties (only present in flat messages files) can be used to find all messages of a message tree or to select trees by their state. |
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### Languages |
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OpenAssistant Conversations incorporates 35 different languages with a distribution of messages as follows: |
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**Languages with over 1000 messages** |
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- English: 71956 |
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- Spanish: 43061 |
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- Russian: 9089 |
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- German: 5279 |
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- Chinese: 4962 |
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- French: 4251 |
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- Thai: 3042 |
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- Portuguese (Brazil): 2969 |
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- Catalan: 2260 |
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- Korean: 1553 |
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- Ukrainian: 1352 |
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- Italian: 1320 |
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- Japanese: 1018 |
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<details> |
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<summary><b>Languages with under 1000 messages</b></summary> |
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<ul> |
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<li>Vietnamese: 952</li> |
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<li>Basque: 947</li> |
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<li>Polish: 886</li> |
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<li>Hungarian: 811</li> |
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<li>Arabic: 666</li> |
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<li>Dutch: 628</li> |
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<li>Swedish: 512</li> |
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<li>Turkish: 454</li> |
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<li>Finnish: 386</li> |
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<li>Czech: 372</li> |
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<li>Danish: 358</li> |
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<li>Galician: 339</li> |
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<li>Hebrew: 255</li> |
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<li>Romanian: 200</li> |
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<li>Norwegian Bokmål: 133</li> |
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<li>Indonesian: 115</li> |
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<li>Bulgarian: 95</li> |
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<li>Bengali: 82</li> |
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<li>Persian: 72</li> |
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<li>Greek: 66</li> |
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<li>Esperanto: 59</li> |
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<li>Slovak: 19</li> |
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</ul> |
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</details> |
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## Contact |
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|
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- Discord [Open Assistant Discord Server](https://ykilcher.com/open-assistant-discord) |
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- GitHub: [LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant) |
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- E-Mail: [open-assistant@laion.ai](mailto:open-assistant@laion.ai) |
