| --- |
| 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: 158850455 |
| num_examples: 128575 |
| - name: validation |
| num_bytes: 7963122 |
| num_examples: 6599 |
| download_size: 66674129 |
| dataset_size: 166813577 |
| 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 Release 2 |
| --- |
| |
| # Open Assistant Conversations Dataset Release 2 (OASST2) |
|
|
| ## Dataset Description |
|
|
| - **Homepage:** https://www.open-assistant.io/ |
| - **Repository:** https://github.com/LAION-AI/Open-Assistant |
| - **Paper:** https://arxiv.org/abs/2304.07327 |
|
|
| ### Dataset Structure |
|
|
| This dataset contains message trees. Each message tree has an initial prompt message as the root node, |
| which can have multiple child messages as replies, and these child messages can have multiple replies. |
|
|
| All messages have a role property: this can either be "assistant" or "prompter". The roles in |
| conversation threads from prompt to leaf node strictly alternate between "prompter" and "assistant". |
|
|
| This version of the dataset contains data collected on the [open-assistant.io](https://open-assistant.io/) website until Nov 5 2023. |
|
|
| ### JSON Example: Message |
|
|
| For readability, the following JSON examples are shown formatted with indentation on multiple lines. |
| Objects are stored without indentation (on 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 a flat list (table) of messages (extension `.messages.jsonl.gz`). |
|
|
|
|
| ### Ready For Export Trees |
|
|
| ``` |
| 2023-11-05_oasst2_ready.trees.jsonl.gz 13,854 trees with 135,174 total messages |
| 2023-11-05_oasst2_ready.messages.jsonl.gz 135,174 messages |
| ``` |
|
|
| #### 2023-11-05_oasst2_ready.trees.jsonl.gz Stats |
| ``` |
| Trees : 13,854 |
| Messages : 135,174 |
| Oldest message : 2023-01-16 20:24:26.211711+00:00 |
| Youngest message : 2023-11-04 15:23:03.239343+00:00 |
| Detoxify ratings : 111,448 |
| Accepted messages: 129,517 |
| Deleted messages : 4,376 |
| Tree counts by state: |
| - ready_for_export: 13,854 |
| Message counts by language: |
| - en: 64,513 |
| - es: 28,199 |
| - ru: 13,935 |
| - zh: 8,615 |
| - de: 6,145 |
| - fr: 3,880 |
| - pt-BR: 2,699 |
| - th: 1,560 |
| - ca: 1,283 |
| - it: 943 |
| - uk-UA: 845 |
| - ja: 788 |
| - pl: 435 |
| - eo: 295 |
| - eu: 274 |
| - vi: 207 |
| - fi: 138 |
| - hu: 113 |
| - ar: 80 |
| - nl: 72 |
| - da: 44 |
| - tr: 37 |
| - ko: 24 |
| - he: 24 |
| - id: 12 |
| - cs: 12 |
| - bn: 1 |
| - sv: 1 |
| ``` |
|
|
| Trees in ready_for_export state without spam and deleted messages including message labels. The oasst_ready-trees file usually is sufficient for supervised fine-tuning (SFT) & reward model (RM) training. |
| |
| ### All Trees |
| |
| ``` |
| 2023-11-05_oasst2_all.trees.jsonl.gz 70,642 trees with 208,584 total messages |
| 2023-11-05_oasst2_all.messages.jsonl.gz 208,584 messages |
| ``` |
| |
| All trees, including those in states prompt_lottery_waiting (trees that consist of only one message, namely the initial prompt), aborted_low_grade (trees that stopped growing because the messages had low quality), and halted_by_moderator. |
| |
| #### 2023-11-05_oasst2_all.trees.jsonl.gz Stats |
| |
| ``` |
| Trees : 70,642 |
| Messages : 208,584 |
| Oldest message : 2023-01-16 20:24:26.211711+00:00 |
| Youngest message : 2023-11-05 10:24:44.484910+00:00 |
| Detoxify ratings : 156,570 |
| Accepted messages: 189,288 |
| Deleted messages : 5,414 |
| Tree counts by state: |
| - ready_for_export: 13,854 |
| - prompt_lottery_waiting: 44,550 |
| - halted_by_moderator: 3,089 |
| - initial_prompt_review: 4,319 |
| - growing: 3,102 |
| - aborted_low_grade: 1,708 |
| - ranking: 20 |
| Message counts by language: |
| - en: 85,115 |
| - es: 47,513 |
| - ru: 15,990 |
| - zh: 11,205 |
| - de: 8,398 |
| - fr: 5,841 |
| - pt-BR: 4,540 |
| - th: 3,236 |
| - ca: 2,586 |
| - it: 2,144 |
| - ja: 1,904 |
| - uk-UA: 1,889 |
| - ko: 1,635 |
| - pl: 1,510 |
| - eo: 1,405 |
| - nl: 1,354 |
| - ar: 1,274 |
| - vi: 1,137 |
| - fi: 1,098 |
| - eu: 995 |
| - hu: 961 |
| - tr: 803 |
| - sv: 763 |
| - id: 669 |
| - gl: 574 |
| - da: 502 |
| - he: 498 |
| - cs: 476 |
| - ro: 434 |
| - sk: 410 |
| - fa: 394 |
| - el: 388 |
| - bar: 217 |
| - nb-NO: 196 |
| - bg: 176 |
| - bn: 128 |
| - sl: 119 |
| - sr: 63 |
| - swg: 23 |
| - hi: 14 |
| - lt: 7 |
| ``` |
| |
| ### Supplemental Exports: Spam & Prompts |
| |
| ``` |
| 2023-11-05_oasst2_spam.messages.jsonl.gz 19,296 matching messages |
| ``` |
| |
| These are messages which were deleted or have a negative review result ("review_result": false). Besides low quality, a frequent reason for message deletion is a wrong language tag. |
|
|
| ``` |
| 2023-11-05_oasst2_prompts.messages.jsonl.gz 64,592 matching messages |
| ``` |
|
|
| 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. |
|
|
| ### Using the Huggingface Datasets |
|
|
| While HF datasets is ideal for tabular datasets, it is not a natural fit for nested data structures like the OpenAssistant conversation trees. |
| Nevertheless, we make all messages which can also be found in the file `2023-11-05_oasst2_ready.messages.jsonl.gz` available in parquet format as train/validation splits. |
| These are directly loadable by [Huggingface Datasets](https://pypi.org/project/datasets/). |
|
|
| To load the oasst2 train & validation splits use: |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("OpenAssistant/oasst2") |
| train = ds['train'] # len(train)=128575 (95%) |
| val = ds['validation'] # len(val)=6599 (5%) |
| ``` |
|
|
| The messages appear in depth-first order of the message trees. |
|
|
| Full conversation trees can be reconstructed from the flat messages table 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 messages of a message tree or to select trees by their state. |
|
|
| ### Data Visualisation |
|
|
| Explore the content of the prompts from the English subset using [Bunka](https://github.com/charlesdedampierre/BunkaTopics) open-source visualization technology. |
| The interactive map [available on a HF space](https://huggingface.co/spaces/bunkalab/visualisation-oasst2) allows to explore each datapoint to get a more precise overview of the contents. |
|
|
| <a href="https://i.imgur.com/B2H8LR3.png"> |
| <img src="https://i.imgur.com/B2H8LR3.png" alt="Bunka oasst2 Map" width="35%"/> |
| </a> |
|
|
| ## 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-assistant@laion.ai](mailto:open-assistant@laion.ai) |
|
|
