--- license: apache-2.0 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 - llama-2 size_categories: - 1K as EOS and BOS token, as per Falcon. Sample Preparation: 1. The dataset is cloned from [TimDettmers](https://huggingface.co/datasets/timdettmers/openassistant-guanaco), which itself is a subset of the Open Assistant dataset, which you can find [here](https://huggingface.co/datasets/OpenAssistant/oasst1/tree/main). This subset of the data only contains the highest-rated paths in the conversation tree, with a total of 9,846 samples. 1. The dataset was then filtered to: - replace instances of '### Human:' with '\nHuman:' - replace instances of '### Assistant:' with '\nAssistant:' - end assistant responses with <|endoftext|> (to encourage the model to emit <|endoftext|> when finished a response). Details of the root dataset follow, copied from that repo: # OpenAssistant Conversations Dataset (OASST1) ## Dataset Description - **Homepage:** https://www.open-assistant.io/ - **Repository:** https://github.com/LAION-AI/Open-Assistant - **Paper:** https://arxiv.org/abs/2304.07327 ### 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 in 35 different languages, annotated with 461,292 quality ratings, resulting in over 10,000 fully annotated conversation trees. The corpus is a product of a worldwide crowd-sourcing effort involving over 13,500 volunteers. Please refer to our [paper](https://arxiv.org/abs/2304.07327) for further details. ### 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 April 12 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. If you would like to explore the dataset yourself you can find a [`getting-started`](https://github.com/LAION-AI/Open-Assistant/blob/main/notebooks/openassistant-oasst1/getting-started.ipynb) notebook in the `notebooks/openassistant-oasst1` folder of the [LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant) github repository. ## 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 ``` 2023-04-12_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 usually is 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 initial 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 ``` 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. ``` 2023-04-12_oasst_prompts.messages.jsonl.gz ``` 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 `2023-04-12_oasst_ready.trees.jsonl.gz` available in parquet as train/validation splits. These are directly loadable by [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. 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. ### 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
Languages with under 1000 messages
## 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)